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ORCIDYew-Soon Ong
Yew Soon Ong
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2003): University of Southampton, UK
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2020 – today
- 2024
[j233]Tiantian He
, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo:
Polarized message-passing in graph neural networks. Artif. Intell. 331: 104129 (2024)- [j232]Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, Yew-Soon Ong:
Fourier warm start for physics-informed neural networks. Eng. Appl. Artif. Intell. 132: 107887 (2024) - [j231]Ke Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. Kai Qin, Yuan Gao:
Differential privacy in deep learning: A literature survey. Neurocomputing 589: 127663 (2024) - [j230]Bohao Qu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang, Yew-Soon Ong:
Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11392-11408 (2024) - [j229]Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. 5(3): 985-1000 (2024) - [j228]Zefeng Chen, Abhishek Gupta, Lei Zhou, Yew-Soon Ong:
Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach. IEEE Trans. Cybern. 54(2): 1294-1307 (2024) - [j227]Yaqing Hou, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang:
A Multiagent Cooperative Learning System With Evolution of Social Roles. IEEE Trans. Evol. Comput. 28(2): 531-543 (2024) - [j226]Joey Tianyi Zhou, Ivor W. Tsang, Yew Soon Ong:
Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3196-3198 (2024) - [j225]Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F. Frangi, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Trans. Fuzzy Syst. 32(10): 5462-5476 (2024) - [j224]Linbo Luo, Shangwei Xie, Haiyan Yin, Chunlei Peng, Yew-Soon Ong:
Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events. IEEE Trans. Inf. Forensics Secur. 19: 6810-6823 (2024) - [j223]Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang:
Large Language Models can be Guided to Evade AI-generated Text Detection. Trans. Mach. Learn. Res. 2024 (2024) - [j222]Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong:
Word2Pix: Word to Pixel Cross-Attention Transformer in Visual Grounding. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1523-1533 (2024) - [j221]Xiao Sha, Zhu Sun, Jie Zhang, Yew-Soon Ong:
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2353-2363 (2024) - [j220]Yuan Gao, Maoguo Gong, Yew-Soon Ong, A. Kai Qin, Yue Wu, Fei Xie:
A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15883-15895 (2024) - [j219]Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang:
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. 42(1): 15:1-15:28 (2024) - [j218]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. 42(1): 24:1-24:34 (2024) - [j217]Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu:
Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. 2(3): 24:1-24:34 (2024) - [c177]Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong:
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI 2024: 8815-8823 - [c176]Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong:
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation. AAAI 2024: 12538-12546 - [c175]Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao:
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. AAAI 2024: 15231-15239 - [c174]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CEC 2024: 1-8 - [c173]Jiao Liu, Yew Soon Ong, Melvin Wong:
Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. CEC 2024: 1-8 - [c172]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC 2024: 1-8 - [c171]Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong:
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR 2024: 28432-28442 - [c170]Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong:
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR 2024: 28535-28544 - [c169]Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong:
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) 2024: 92-111 - [c168]Qingshan Xu, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew-Soon Ong, Hanwang Zhang:
Few-Shot NeRF by Adaptive Rendering Loss Regularization. ECCV (66) 2024: 125-142 - [c167]Heng Zhao, Yinjie Zhao, Bihan Wen, Yew-Soon Ong, Joey Zhou:
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding. EMNLP 2024: 19494-19505 - [c166]Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong:
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML 2024 - [c165]Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong:
ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation. KDD 2024: 759-770 - [c164]Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong:
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD 2024: 2806-2817 - [c163]Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong:
FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. KDD 2024: 3586-3597 - [c162]Hua Yu, Weiming Liu, Jiapeng Bai, Xu Gui, Yaqing Hou, Yew-Soon Ong, Qiang Zhang:
Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis. ACM Multimedia 2024: 2535-2544 - [c161]Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li:
Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection. ECML/PKDD (3) 2024: 284-300 - [c160]Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong:
Bayesian Forward-Inverse Transfer for Multiobjective Optimization. PPSN (4) 2024: 135-152 - [c159]Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong:
Unified Denoising Training for Recommendation. RecSys 2024: 612-621 - [c158]Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong:
Large Language Models for Intent-Driven Session Recommendations. SIGIR 2024: 324-334 - [c157]Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu:
Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR 2024: 966-976 - [i100]Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui:
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries. CoRR abs/2403.07331 (2024) - [i99]Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang:
Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR abs/2403.08255 (2024) - [i98]Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong:
Precise-Physics Driven Text-to-3D Generation. CoRR abs/2403.12438 (2024) - [i97]Lu Bai, Abhishek Gupta, Yew-Soon Ong:
Multi-Task Learning with Multi-Task Optimization. CoRR abs/2403.16162 (2024) - [i96]Fan Li, Shanshan Feng, Yuqi Yan, Ching-Hung Lee, Yew Soon Ong:
Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations. CoRR abs/2403.16645 (2024) - [i95]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR abs/2404.00261 (2024) - [i94]Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong:
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CoRR abs/2404.01855 (2024) - [i93]Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong:
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. CoRR abs/2404.13377 (2024) - [i92]Gaoxia Zhu, Vidya Sudarshan, Jason Fok Kow, Yew Soon Ong:
Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions. CoRR abs/2405.13048 (2024) - [i91]Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang:
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR abs/2405.18884 (2024) - [i90]Lanting Fang, Yulian Yang, Kai Wang, Shanshan Feng, Kaiyu Feng, Jie Gui, Shuliang Wang, Yew-Soon Ong:
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs. CoRR abs/2405.19062 (2024) - [i89]Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang:
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR abs/2406.00812 (2024) - [i88]Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong:
Road Network Representation Learning with the Third Law of Geography. CoRR abs/2406.04038 (2024) - [i87]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR abs/2406.09143 (2024) - [i86]Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong:
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR abs/2406.14917 (2024) - [i85]Ben Cao, Tiantian He, Xue Li, Bin Wang, Xiaohu Wu, Qiang Zhang, Yew-Soon Ong:
Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage. CoRR abs/2408.00779 (2024) - [i84]Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu:
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. CoRR abs/2410.07286 (2024) - [i83]Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang:
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection. CoRR abs/2410.10289 (2024) - [i82]Qingshan Xu, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew-Soon Ong, Hanwang Zhang:
Few-shot NeRF by Adaptive Rendering Loss Regularization. CoRR abs/2410.17839 (2024) - [i81]Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong:
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. CoRR abs/2410.17954 (2024) - [i80]Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu:
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. CoRR abs/2410.19321 (2024) - [i79]Zubin Zheng, Shengcai Liu, Yew-Soon Ong:
Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges. CoRR abs/2410.19580 (2024) - 2023
- [j216]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. IEEE Comput. Intell. Mag. 18(2): 60-77 (2023) - [j215]Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Caishun Chen, Ray Lim:
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. IEEE Comput. Intell. Mag. 18(3): 29-40 (2023) - [j214]Yuan Gao, Yew-Soon Ong, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Shanfeng Wang:
Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion. IEEE Internet Things J. 10(6, March 15): 5519-5529 (2023) - [j213]Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma:
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3862-3876 (2023) - [j212]Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma:
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7142-7156 (2023) - [j211]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8206-8226 (2023) - [j210]Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, Alex Kai Qin, Yew-Soon Ong:
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13328-13343 (2023) - [j209]Xiaobo Shen, Yew-Soon Ong, Zheng Mao, Shirui Pan, Weiwei Liu, Yuhui Zheng:
Compact network embedding for fast node classification. Pattern Recognit. 136: 109236 (2023) - [j208]Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong:
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. IEEE Trans. Artif. Intell. 4(1): 107-120 (2023) - [j207]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes. IEEE Trans. Cogn. Dev. Syst. 15(3): 1474-1486 (2023) - [j206]Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo:
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. 53(1): 483-496 (2023) - [j205]Linbo Luo, Xinyu Wang, Jianfeng Ma, Yew-Soon Ong:
GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm. IEEE Trans. Cybern. 53(3): 1776-1789 (2023) - [j204]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j203]Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng:
Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. 53(7): 4347-4360 (2023) - [j202]Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong:
Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances. IEEE Trans. Cybern. 53(10): 6160-6172 (2023) - [j201]Yu Xie, Yanfeng Liang, Maoguo Gong, A. Kai Qin, Yew-Soon Ong, Tiantian He:
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53(10): 6222-6235 (2023) - [j200]Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong:
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6043-6057 (2023) - [j199]Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun:
Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6146-6157 (2023) - [j198]Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong:
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9040-9053 (2023) - [j197]Haitao Liu, Kai Wu, Yew-Soon Ong, Chao Bian, Xiaomo Jiang, Xiaofang Wang:
Learning Multitask Gaussian Process Over Heterogeneous Input Domains. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6232-6244 (2023) - [c156]Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong:
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion 2023: 2144-2151 - [c155]Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. ICDE 2023: 1260-1272 - [c154]Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Masked Frequency Modeling for Self-Supervised Visual Pre-Training. ICLR 2023 - [c153]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN 2023: 1-10 - [c152]Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD (3) 2023: 322-334 - [c151]Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong:
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys 2023: 613-624 - [c150]Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma:
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. SIGIR 2023: 2701-2711 - [i78]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR abs/2302.01518 (2023) - [i77]Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang:
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR abs/2304.02350 (2023) - [i76]Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar:
Bayesian Federated Learning: A Survey. CoRR abs/2304.13267 (2023) - [i75]Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen:
Prompt Evolution for Generative AI: A Classifier-Guided Approach. CoRR abs/2305.16347 (2023) - [i74]Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma:
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects. CoRR abs/2306.08219 (2023) - [i73]Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang:
Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. CoRR abs/2306.14690 (2023) - [i72]Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities. CoRR abs/2308.09309 (2023) - [i71]Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Ke Tang:
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. CoRR abs/2308.14012 (2023) - [i70]Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, Chen Change Loy:
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation. CoRR abs/2309.13042 (2023) - [i69]Huiwei Lin, Shanshan Feng, Baoquan Zhang, Xutao Li, Yew-Soon Ong, Yunming Ye:
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning. CoRR abs/2309.15038 (2023) - [i68]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CoRR abs/2310.19046 (2023) - [i67]Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong:
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR abs/2312.03243 (2023) - [i66]Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong:
Large Language Models for Intent-Driven Session Recommendations. CoRR abs/2312.07552 (2023) - [i65]Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew-Soon Ong, Chongjun Wang, Xiaofeng Tao:
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. CoRR abs/2312.11391 (2023) - [i64]Jianyao Xu, Qingshan Xu, Xinyao Liao, Wanjuan Su, Chen Zhang, Yew-Soon Ong, Wenbing Tao:
PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction. CoRR abs/2312.11577 (2023) - [i63]Jiao Liu, Abhishek Gupta, Yew-Soon Ong:
Inverse Transfer Multiobjective Optimization. CoRR abs/2312.14713 (2023) - [i62]Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu:
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR abs/2312.16262 (2023) - 2022
- [j196]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(1): 10-12 (2022) - [j195]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(2): 11-13 (2022) - [j194]Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou:
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. IEEE Comput. Intell. Mag. 17(2): 49-66 (2022) - [j193]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(3): 11-13 (2022) - [j192]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Yew Soon Ong:
CIS Publication Spotlight. IEEE Comput. Intell. Mag. 17(4): 13-15 (2022) - [j191]Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Delving into Inter-Image Invariance for Unsupervised Visual Representations. Int. J. Comput. Vis. 130(12): 2994-3013 (2022) - [j190]Gexiang Zhang, Xihai Zhang, Haina Rong, Prithwineel Paul, Ming Zhu, Ferrante Neri, Yew-Soon Ong:
A Layered Spiking Neural System for Classification Problems. Int. J. Neural Syst. 32(8): 2250023:1-2250023:15 (2022) - [j189]Sijia Zhang, Maoguo Gong, Yu Xie, A. Kai Qin, Hao Li, Yuan Gao, Yew-Soon Ong:
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5427-5437 (2022) - [j188]Liang Feng, Wei Zhou, Weichen Liu, Yew-Soon Ong, Kay Chen Tan:
Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search. IEEE Trans. Cybern. 52(5): 2649-2662 (2022) - [j187]Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen:
Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. IEEE Trans. Cybern. 52(7): 5842-5854 (2022) - [j186]Xinghua Qu, Yew-Soon Ong, Abhishek Gupta:
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. 52(8): 7577-7590 (2022) - [j185]Tiantian He, Lu Bai, Yew-Soon Ong:
Vicinal Vertex Allocation for Matrix Factorization in Networks. IEEE Trans. Cybern. 52(8): 8047-8060 (2022) - [j184]Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong:
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. 52(8): 8561-8573 (2022) - [j183]Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu:
Co-Learning Bayesian Optimization. IEEE Trans. Cybern. 52(9): 9820-9833 (2022) - [j182]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. 52(10): 10276-10289 (2022) - [j181]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection. IEEE Trans. Evol. Comput. 26(1): 130-144 (2022) - [j180]Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang:
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26(2): 202-205 (2022) - [j179]Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He:
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 26(2): 379-391 (2022) - [j178]Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong:
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23(2): 952-965 (2022) - [j177]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. IEEE Trans. Knowl. Data Eng. 34(9): 4161-4171 (2022) - [j176]Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu:
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6976-6982 (2022) - [c149]Ray Lim, Abhishek Gupta, Yew-Soon Ong:
An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. CEC 2022: 1-9 - [c148]Mingyu Xu, Yongjin Zheng, Yew-Soon Ong, Zexuan Zhu, Xiaoliang Ma:
A multifactorial differential evolution with hybrid global and local search strategies. CEC 2022: 1-9 - [c147]Alvin Chan, Yew Soon Ong, Clement Tan:
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? IJCAI 2022: 659-665 - [c146]Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu:
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI 2022: 3751-3757 - [c145]Nguyen Hong Ngoc, Alvin Chan, Huynh Thi Thanh Binh, Yew Soon Ong:
Anti-Forensic Deepfake Personas and How To Spot Them. IJCNN 2022: 1-8 - [c144]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
0.08mm2 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications. ISCAS 2022: 2680-2684 - [c143]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training. ISCAS 2022: 2958-2962 - [c142]Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma:
Importance Prioritized Policy Distillation. KDD 2022: 1420-1429 - [c141]Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma:
Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD 2022: 1430-1440 - [c140]Qiancheng Fu, Qingshan Xu, Yew Soon Ong, Wenbing Tao:
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. NeurIPS 2022 - [c139]Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong:
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR 2022: 2900-2911 - [c138]Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong:
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI 2022: 1669-1674 - [i61]Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR abs/2202.12636 (2022) - [i60]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling. CoRR abs/2203.10844 (2022) - [i59]Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Ray Lim:
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models. CoRR abs/2205.00671 (2022) - [i58]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. CoRR abs/2205.03824 (2022) - [i57]Alvin Chan, Yew-Soon Ong, Clement Tan:
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? CoRR abs/2205.04533 (2022) - [i56]Suryadi, Yew-Soon Ong, Lock Yue Chew:
Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data. CoRR abs/2205.09573 (2022) - [i55]Qiancheng Fu, Qingshan Xu, Yew-Soon Ong, Wenbing Tao:
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. CoRR abs/2205.15848 (2022) - [i54]Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy:
Masked Frequency Modeling for Self-Supervised Visual Pre-Training. CoRR abs/2206.07706 (2022) - [i53]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR abs/2206.10848 (2022) - [i52]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-Based Recommendation. CoRR abs/2208.13453 (2022) - [i51]Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang:
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. CoRR abs/2209.00472 (2022) - [i50]Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong:
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning. CoRR abs/2210.07715 (2022) - [i49]Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. CoRR abs/2212.07030 (2022) - [i48]Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong:
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR abs/2212.07624 (2022) - 2021
- [j175]Ray Lim, Lei Zhou, Abhishek Gupta, Yew-Soon Ong, Allan N. Zhang:
Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization. IEEE Access 9: 41844-41860 (2021) - [j174]Haibo He, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(1): 18-20 (2021) - [j173]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(2): 11-76 (2021) - [j172]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. 16(2): 14-30 (2021) - [j171]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(3): 5-7, 94 (2021) - [j170]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(4): 14-16 (2021) - [j169]Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin:
[Guest Editorial]. IEEE Comput. Intell. Mag. 16(4): 17-18 (2021) - [j168]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j167]Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang:
Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn. Comput. 13(2): 290-307 (2021) - [j166]Tiantian He, Yew-Soon Ong, Pengwei Hu:
Multi-source propagation aware network clustering☆. Neurocomputing 453: 119-130 (2021) - [j165]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong:
Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Inf. Sci. 578: 592-614 (2021) - [j164]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. 120: 108121 (2021) - [j163]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei:
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13(4): 806-817 (2021) - [j162]Alan Tan Wei Min, Abhishek Gupta, Yew-Soon Ong:
Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity. IEEE Trans Autom. Sci. Eng. 18(4): 1754-1765 (2021) - [j161]Zhen Zhang, Yew-Soon Ong, Dongqing Wang, Binqiang Xue:
A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential. IEEE Trans. Cybern. 51(2): 1015-1027 (2021) - [j160]Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan:
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. IEEE Trans. Cybern. 51(4): 1784-1796 (2021) - [j159]Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong:
Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. 51(10): 4834-4847 (2021) - [j158]Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong:
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. IEEE Trans. Evol. Comput. 25(3): 567-581 (2021) - [j157]Haitao Liu, Yew-Soon Ong, Jianfei Cai:
Large-Scale Heteroscedastic Regression via Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 32(2): 708-721 (2021) - [j156]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Practical Multisource Transfer Regression With Source-Target Similarity Captures. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3498-3509 (2021) - [j155]Yaqing Hou, Yew-Soon Ong, Jing Tang, Yifeng Zeng:
Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 5962-5976 (2021) - [c137]Alvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh Tuan Phan:
RNA alternative splicing prediction with discrete compositional energy network. CHIL 2021: 193-203 - [c136]Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu:
CoCon: A Self-Supervised Approach for Controlled Text Generation. ICLR 2021 - [c135]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks. ISCAS 2021: 1-5 - [c134]Tiantian He, Yew Soon Ong, Lu Bai:
Learning Conjoint Attentions for Graph Neural Nets. NeurIPS 2021: 2641-2653 - [c133]Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy:
Unsupervised Object-Level Representation Learning from Scene Images. NeurIPS 2021: 28864-28876 - [c132]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
Efficient Implementation of Activation Functions for LSTM accelerators. VLSI-SoC 2021: 1-5 - [i47]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR abs/2101.01998 (2021) - [i46]Tiantian He, Lu Bai, Yew-Soon Ong:
Graph Joint Attention Networks. CoRR abs/2102.03147 (2021) - [i45]Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong:
Multi-Space Evolutionary Search for Large-Scale Optimization. CoRR abs/2102.11693 (2021) - [i44]Alvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh Tuan Phan:
RNA Alternative Splicing Prediction with Discrete Compositional Energy Network. CoRR abs/2103.04246 (2021) - [i43]Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (2021) - [i42]Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Unsupervised Object-Level Representation Learning from Scene Images. CoRR abs/2106.11952 (2021) - [i41]Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong:
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding. CoRR abs/2108.00205 (2021) - [i40]Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR abs/2109.09338 (2021) - [i39]Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou:
Half a Dozen Real-World Applications of Evolutionary Multitasking and More. CoRR abs/2109.13101 (2021) - [i38]Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. CoRR abs/2110.15832 (2021) - 2020
- [j154]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(1): 19-21 (2020) - [j153]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(2): 11-13 (2020) - [j152]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(3): 12-14 (2020) - [j151]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(4): 5-7 (2020) - [j150]Xiaobing Han, Tiantian He, Yew-Soon Ong, Yanfei Zhong:
Precise object detection using adversarially augmented local/global feature fusion. Eng. Appl. Artif. Intell. 94: 103710 (2020) - [j149]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep evolving denoising autoencoder. Neurocomputing 390: 297-314 (2020) - [j148]Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera:
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J. Ambient Intell. Humaniz. Comput. 11(1): 39-52 (2020) - [j147]Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta:
Multi-task gradient descent for multi-task learning. Memetic Comput. 12(4): 355-369 (2020) - [j146]Tiantian He, Yang Liu, Tobey H. Ko, Keith C. C. Chan, Yew-Soon Ong:
Contextual Correlation Preserving Multiview Featured Graph Clustering. IEEE Trans. Cybern. 50(10): 4318-4331 (2020) - [j145]Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan:
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. IEEE Trans. Evol. Comput. 24(1): 69-83 (2020) - [j144]Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic:
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2236-2239 (2020) - [j143]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
Survey on Multi-Output Learning. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2409-2429 (2020) - [j142]Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai:
When Gaussian Process Meets Big Data: A Review of Scalable GPs. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4405-4423 (2020) - [j141]Jinghui Zhong, Liang Feng, Wentong Cai, Yew-Soon Ong:
Multifactorial Genetic Programming for Symbolic Regression Problems. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4492-4505 (2020) - [c131]Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong:
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. AAAI 2020: 3717-3724 - [c130]Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong:
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS 2020: 1485-1493 - [c129]Alvin Chan, Yi Tay, Yew-Soon Ong:
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients. CVPR 2020: 329-338 - [c128]Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Online Deep Clustering for Unsupervised Representation Learning. CVPR 2020: 6687-6696 - [c127]Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang:
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. EMNLP (Findings) 2020: 4175-4189 - [c126]Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu:
Jacobian Adversarially Regularized Networks for Robustness. ICLR 2020 - [c125]Ahmed Kattan, Faiyaz Doctor, Yew-Soon Ong, Alexandros Agapitos:
Genetic Programming Multitasking. SSCI 2020: 1004-1012 - [i37]Tiantian He, Lu Bai, Yew-Soon Ong:
Relational Thematic Clustering with Mutually Preferred Neighbors. CoRR abs/2001.08412 (2020) - [i36]Joey Tianyi Zhou, Xi Peng, Yew-Soon Ong:
Heterogeneous Representation Learning: A Review. CoRR abs/2004.13303 (2020) - [i35]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. CoRR abs/2005.08467 (2020) - [i34]Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu:
CoCon: A Self-Supervised Approach for Controlled Text Generation. CoRR abs/2006.03535 (2020) - [i33]Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Online Deep Clustering for Unsupervised Representation Learning. CoRR abs/2006.10645 (2020) - [i32]Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun:
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR abs/2008.06199 (2020) - [i31]Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Delving into Inter-Image Invariance for Unsupervised Visual Representations. CoRR abs/2008.11702 (2020) - [i30]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating Scalable Gaussian Processes for Expressive Statistical Learning. CoRR abs/2008.12922 (2020) - [i29]Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang:
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. CoRR abs/2010.02684 (2020) - [i28]Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong:
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances. CoRR abs/2012.01830 (2020)
2010 – 2019
- 2019
- [j140]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(1): 10-12 (2019) - [j139]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(2): 13-15 (2019) - [j138]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(3): 4-6 (2019) - [j137]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(4): 8-10 (2019) - [j136]Abhishek Gupta, Yew-Soon Ong:
Back to the Roots: Multi-X Evolutionary Computation. Cogn. Comput. 11(1): 1-17 (2019) - [j135]Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang:
Understanding and comparing scalable Gaussian process regression for big data. Knowl. Based Syst. 164: 324-335 (2019) - [j134]Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu:
Fast transfer Gaussian process regression with large-scale sources. Knowl. Based Syst. 165: 208-218 (2019) - [j133]Liang Feng, Abhishek Gupta, Yew-Soon Ong:
Compressed representation for higher-level meme space evolution: a case study on big knapsack problems. Memetic Comput. 11(1): 3-17 (2019) - [j132]Guo-Sheng Hao, Meng-Hiot Lim, Yew-Soon Ong, Han Huang, Gai-Ge Wang:
Domination landscape in evolutionary algorithms and its applications. Soft Comput. 23(11): 3563-3570 (2019) - [j131]Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang:
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates. IEEE Trans. Cybern. 49(5): 1708-1721 (2019) - [j130]Weili Guo, Yew-Soon Ong, Yingjiang Zhou, Jaime Rubio Hervas, Aiguo Song, Haikun Wei:
Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons. IEEE Trans. Cybern. 49(8): 3088-3098 (2019) - [j129]Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, Alex Kai Qin:
Evolutionary Multitasking via Explicit Autoencoding. IEEE Trans. Cybern. 49(9): 3457-3470 (2019) - [j128]Bingshui Da, Abhishek Gupta, Yew-Soon Ong:
Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization. IEEE Trans. Cybern. 49(12): 4365-4378 (2019) - [j127]Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh:
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. IEEE Trans. Evol. Comput. 23(1): 15-28 (2019) - [j126]Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi:
On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. IEEE Trans. Evol. Comput. 23(2): 217-231 (2019) - [j125]Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang:
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. IEEE Trans. Evol. Comput. 23(4): 556-571 (2019) - [j124]Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang:
Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Trans. Evol. Comput. 23(5): 733-747 (2019) - [j123]Yew-Soon Ong, Abhishek Gupta:
AIR5: Five Pillars of Artificial Intelligence Research. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 411-415 (2019) - [j122]Wan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor Wai-Hung Tsang, Lin Chen, Qing-Hua Zheng:
Domain Adaption via Feature Selection on Explicit Feature Map. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1180-1190 (2019) - [c124]Abhishek Gupta, Yew-Soon Ong, Mojtaba Shakeri, Xu Chi, Allan NengSheng Zhang:
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. IEEE BigData 2019: 3896-3902 - [c123]Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng:
Coping with Big Data in Transfer Optimization. IEEE BigData 2019: 3925-3932 - [c122]Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen:
Memetic Evolution Strategy for Reinforcement Learning. CEC 2019: 1922-1928 - [c121]Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CIKM 2019: 1171-1180 - [c120]Ray Lim, Yew-Soon Ong, Phan Thi Hong Hanh, Abhishek Gupta, Nengsheng Allan Zhang:
Can route planning be smarter with transfer optimization? GECCO (Companion) 2019: 318-319 - [c119]Tiantian He, Lu Bai, Yew-Soon Ong:
Manifold Regularized Stochastic Block Model. ICTAI 2019: 800-807 - [i27]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
A Survey on Multi-output Learning. CoRR abs/1901.00248 (2019) - [i26]Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen:
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods. CoRR abs/1909.06541 (2019) - [i25]Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CoRR abs/1910.03437 (2019) - [i24]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep Evolving Denoising Autoencoder. CoRR abs/1910.04062 (2019) - [i23]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta:
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR abs/1911.03849 (2019) - [i22]Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta:
A Multi-Task Gradient Descent Method for Multi-Label Learning. CoRR abs/1911.07693 (2019) - [i21]Alvin Chan, Yew-Soon Ong:
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks. CoRR abs/1911.08040 (2019) - [i20]Alvin Chan, Yi Tay, Yew-Soon Ong:
What it Thinks is Important is Important: Robustness Transfers through Input Gradients. CoRR abs/1912.05699 (2019) - [i19]Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu:
Jacobian Adversarially Regularized Networks for Robustness. CoRR abs/1912.10185 (2019) - 2018
- [j121]Han Hu, Yong Luo, Yonggang Wen, Yew-Soon Ong, Xinwen Zhang:
How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach. IEEE Access 6: 60380-60395 (2018) - [j120]Yanfei Zhong, Ailong Ma, Yew-Soon Ong, Zexuan Zhu, Liangpei Zhang:
Computational intelligence in optical remote sensing image processing. Appl. Soft Comput. 64: 75-93 (2018) - [j119]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. Appl. Soft Comput. 70: 576-589 (2018) - [j118]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(1): 25-27 (2018) - [j117]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(2): 13-15 (2018) - [j116]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(3): 8-11 (2018) - [j115]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(4): 10-12 (2018) - [j114]Haitao Liu, Yew-Soon Ong, Jianfei Cai, Yi Wang:
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method. Eng. Appl. Artif. Intell. 67: 211-225 (2018) - [j113]Weili Guo, Haikun Wei, Yew-Soon Ong, Jaime Rubio Hervas, Junsheng Zhao, Hai Wang, Kanjian Zhang:
Numerical Analysis near Singularities in RBF Networks. J. Mach. Learn. Res. 19: 1:1-1:39 (2018) - [j112]Haitao Liu, Jianfei Cai, Yew-Soon Ong:
Remarks on multi-output Gaussian process regression. Knowl. Based Syst. 144: 102-121 (2018) - [j111]Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution. Knowl. Based Syst. 154: 17-31 (2018) - [j110]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh:
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Process. Lett. 47(3): 993-1009 (2018) - [j109]Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu:
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. IEEE Trans. Evol. Comput. 22(2): 189-210 (2018) - [j108]Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Insights on Transfer Optimization: Because Experience is the Best Teacher. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 51-64 (2018) - [j107]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Multilabel Prediction via Cross-View Search. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4324-4338 (2018) - [j106]Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong:
A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1191-1210 (2018) - [c118]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Compact Multi-Label Learning. AAAI 2018: 4066-4073 - [c117]Zhiwei Zeng, Xiuyi Fan, Chunyan Miao, Cyril Leung, Jing Jih Chin, Yew-Soon Ong:
Context-based and Explainable Decision Making with Argumentation. AAMAS 2018: 1114-1122 - [c116]Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu:
A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding. CEC 2018: 1-7 - [c115]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. ICDM 2018: 1314-1319 - [c114]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. ICML 2018: 3137-3146 - [c113]Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang:
Deep Discrete Prototype Multilabel Learning. IJCAI 2018: 2675-2681 - [c112]Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun:
Discrete Network Embedding. IJCAI 2018: 3549-3555 - [e8]Xindong Wu, Yew-Soon Ong, Charu C. Aggarwal, Huanhuan Chen:
2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-9125-0 [contents] - [i18]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. CoRR abs/1806.00720 (2018) - [i17]Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai:
When Gaussian Process Meets Big Data: A Review of Scalable GPs. CoRR abs/1807.01065 (2018) - [i16]Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew-Soon Ong:
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer. CoRR abs/1809.02444 (2018) - [i15]Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer:
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR abs/1809.09081 (2018) - [i14]Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim:
Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration. CoRR abs/1810.08669 (2018) - [i13]Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang:
Understanding and Comparing Scalable Gaussian Process Regression for Big Data. CoRR abs/1811.01159 (2018) - [i12]Haitao Liu, Yew-Soon Ong, Jianfei Cai:
Large-scale Heteroscedastic Regression via Gaussian Process. CoRR abs/1811.01179 (2018) - [i11]Wesley Joon-Wie Tann, Xing Jie Han, Sourav Sen Gupta, Yew-Soon Ong:
Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Vulnerabilities. CoRR abs/1811.06632 (2018) - [i10]Yew-Soon Ong, Abhishek Gupta:
AIR5: Five Pillars of Artificial Intelligence Research. CoRR abs/1812.11509 (2018) - 2017
- [j105]Haitao Liu, Jianfei Cai, Yew-Soon Ong:
An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error. Comput. Chem. Eng. 106: 171-182 (2017) - [j104]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(2): 20-22 (2017) - [j103]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(3): 6-9 (2017) - [j102]Jinghui Zhong, Liang Feng, Yew-Soon Ong:
Gene Expression Programming: A Survey [Review Article]. IEEE Comput. Intell. Mag. 12(3): 54-72 (2017) - [j101]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(4): 9-11 (2017) - [j100]Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Knowledge Transfer Through Machine Learning in Aircraft Design. IEEE Comput. Intell. Mag. 12(4): 48-60 (2017) - [j99]Meiying Cheng, Abhishek Gupta, Yew-Soon Ong, Zhiwei Ni:
Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design. Eng. Appl. Artif. Intell. 64: 13-24 (2017) - [j98]Abhishek Gupta, Chen Kim Heng, Yew-Soon Ong, Puay Siew Tan, Allan N. Zhang:
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems. Expert Syst. Appl. 71: 288-300 (2017) - [j97]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction. Neurocomputing 243: 21-34 (2017) - [j96]Felis Dwiyasa, Meng-Hiot Lim, Yew-Soon Ong, Bijaya K. Panigrahi:
Extreme learning machine for indoor location fingerprinting. Multidimens. Syst. Signal Process. 28(3): 867-883 (2017) - [j95]Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan:
Multiobjective Multifactorial Optimization in Evolutionary Multitasking. IEEE Trans. Cybern. 47(7): 1652-1665 (2017) - [j94]Yifeng Zeng, Xuefeng Chen, Yew-Soon Ong, Jing Tang, Yanping Xiang:
Structured Memetic Automation for Online Human-Like Social Behavior Learning. IEEE Trans. Evol. Comput. 21(1): 102-115 (2017) - [j93]Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada:
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems. IEEE Trans. Evol. Comput. 21(4): 601-615 (2017) - [j92]Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta:
Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems. IEEE Trans. Evol. Comput. 21(5): 760-772 (2017) - [j91]Yew-Soon Ong:
Editorial IEEE Transactions on Emerging Topics in Computational Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 1(1): 1 (2017) - [c111]Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan:
Solving dynamic vehicle routing problem via evolutionary search with learning capability. CEC 2017: 890-896 - [c110]Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan:
Linearized domain adaptation in evolutionary multitasking. CEC 2017: 1295-1302 - [c109]Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong:
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information. CVPR 2017: 5996-6004 - [c108]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh:
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML 2017: 3722-3731 - [p3]Abhishek Gupta, Bingshui Da, Yuan Yuan, Yew-Soon Ong:
On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking. Recent Advances in Evolutionary Multi-objective Optimization 2017: 139-157 - [i9]Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong:
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information. CoRR abs/1702.08681 (2017) - [i8]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. CoRR abs/1703.01887 (2017) - [i7]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi:
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR abs/1706.02766 (2017) - [i6]Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao:
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR abs/1706.03470 (2017) - [i5]Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution. CoRR abs/1711.06763 (2017) - 2016
- [j90]Shahrzad Faghih-Roohi, Yew-Soon Ong, Sobhan Asian, Allan N. Zhang:
Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks. Ann. Oper. Res. 247(2): 715-734 (2016) - [j89]Yew-Soon Ong, Abhishek Gupta:
Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking. Cogn. Comput. 8(2): 125-142 (2016) - [j88]Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta:
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization. Evol. Intell. 9(4): 203-220 (2016) - [j87]Wan-Yu Deng, Yew-Soon Ong, Puay Siew Tan, Qing-Hua Zheng:
Online sequential reduced kernel extreme learning machine. Neurocomputing 174: 72-84 (2016) - [j86]Ahmed Kattan, Alexandros Agapitos, Yew-Soon Ong, Ateq A. Alghamedi, Michael O'Neill:
GP made faster with semantic surrogate modelling. Inf. Sci. 355-356: 169-185 (2016) - [j85]Iti Chaturvedi, Yew-Soon Ong, Ivor W. Tsang, Roy E. Welsch, Erik Cambria:
Learning word dependencies in text by means of a deep recurrent belief network. Knowl. Based Syst. 108: 144-154 (2016) - [j84]Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 8(2): 83-84 (2016) - [j83]Wan-Yu Deng, Yew-Soon Ong, Qing-Hua Zheng:
A Fast Reduced Kernel Extreme Learning Machine. Neural Networks 76: 29-38 (2016) - [j82]Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang:
Making Trillion Correlations Feasible in Feature Grouping and Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2472-2486 (2016) - [j81]Liang Feng, Yew-Soon Ong, Caishun Chen, Xianshun Chen:
Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem. Soft Comput. 20(9): 3745-3769 (2016) - [j80]Yanfei Zhong, Zexuan Zhu, Yew-Soon Ong:
Soft computing in remote sensing image processing. Soft Comput. 20(12): 4629-4630 (2016) - [j79]Maciej Swiechowski, Jacek Mandziuk, Yew-Soon Ong:
Specialization of a UCT-Based General Game Playing Program to Single-Player Games. IEEE Trans. Comput. Intell. AI Games 8(3): 218-228 (2016) - [j78]Enrique Muñoz Ballester, José Manuel Cadenas, Yew-Soon Ong, Giovanni Acampora:
Memetic Music Composition. IEEE Trans. Evol. Comput. 20(1): 1-15 (2016) - [j77]Jinghui Zhong, Yew-Soon Ong, Wentong Cai:
Self-Learning Gene Expression Programming. IEEE Trans. Evol. Comput. 20(1): 65-80 (2016) - [j76]Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Multifactorial Evolution: Toward Evolutionary Multitasking. IEEE Trans. Evol. Comput. 20(3): 343-357 (2016) - [j75]Gitae Kim, Yew-Soon Ong, Taesu Cheong, Puay Siew Tan:
Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion. IEEE Trans. Intell. Transp. Syst. 17(8): 2367-2380 (2016) - [c107]Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng:
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking. ACALCI 2016: 54-65 - [c106]Yaqing Hou, Yifeng Zeng, Yew-Soon Ong:
A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction. AAMAS 2016: 539-547 - [c105]Siwei Jiang, Liang Feng, Chen Kim Heng, Quoc Chinh Nguyen, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan:
Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems. CEC 2016: 492-499 - [c104]Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai:
Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. CEC 2016: 500-507 - [c103]Chen Kim Heng, Quoc Chinh Nguyen, Siwei Jiang, Puay Siew Tan, Abhishek Gupta, Bingshui Da, Yew-Soon Ong:
Application of route flexibility in data-starved vehicle routing problem with time windows. CEC 2016: 799-805 - [c102]Zhenbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Hsing-Mean Sha:
A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem. CEC 2016: 1687-1694 - [c101]Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Evolutionary multitasking across single and multi-objective formulations for improved problem solving. CEC 2016: 1695-1701 - [c100]Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh:
Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. CEC 2016: 1940-1947 - [c99]Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko:
Landscape synergy in evolutionary multitasking. CEC 2016: 3076-3083 - [c98]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. ICONIP (2) 2016: 37-46 - [c97]Yaqing Hou, Liang Feng, Yew-Soon Ong:
Creating human-like non-player game characters using a Memetic Multi-Agent System. IJCNN 2016: 177-184 - [c96]Yawei Li, Lizuo Jin, A. Kai Qin, Changyin Sun, Yew-Soon Ong, Tong Cui:
Semi-supervised auto-encoder based on manifold learning. IJCNN 2016: 4032-4039 - [c95]C. S. Chen, Yaqing Hou, Yew-Soon Ong:
A conceptual modeling of flocking-regulated multi-agent reinforcement learning. IJCNN 2016: 5256-5262 - [c94]Minh Le Nguyen, Le Sy Vinh, Yew-Soon Ong, Lam Thu Bui, Keiji Hirata:
Preface KSE 2016. KSE 2016: viii - [c93]Abhishek Gupta, Yew-Soon Ong:
Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization. SSCI 2016: 1-7 - [c92]Ramón Sagarna, Yew-Soon Ong:
Concurrently searching branches in software tests generation through multitask evolution. SSCI 2016: 1-8 - [c91]Lei Zhou, Liang Feng, Jinghui Zhong, Yew-Soon Ong, Zexuan Zhu, Edwin Hsing-Mean Sha:
Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem. SSCI 2016: 1-8 - [c90]Stanley Frederick W. T. Lim, Allan N. Zhang, Mark Goh, Yew-Soon Ong, Puay Siew Tan:
Three-Dimensional Vehicle Routing Problem for Urban Last Mile Logistics: Problem Formulation and Computational Analysis. UKSim 2016: 252-257 - [e7]Minh Le Nguyen, Le Sy Vinh, Lam Thu Bui, Van-Giang Nguyen, Yew-Soon Ong, Keiji Hirata:
2016 Eighth International Conference on Knowledge and Systems Engineering, KSE 2016, Hanoi, Vietnam, October 6-8, 2016. IEEE 2016, ISBN 978-1-4673-8929-7 [contents] - [i4]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
Adaptive Subgradient Methods for Online AUC Maximization. CoRR abs/1602.00351 (2016) - [i3]Abhishek Gupta, Yew-Soon Ong:
Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization. CoRR abs/1607.05390 (2016) - 2015
- [j74]Quanqing Xu, Rajesh Vellore Arumugam, Khai Leong Yong, Yonggang Wen, Yew-Soon Ong, Weiya Xi:
Adaptive and scalable load balancing for metadata server cluster in cloud-scale file systems. Frontiers Comput. Sci. 9(6): 904-918 (2015) - [j73]Ahmed Kattan, Yew-Soon Ong:
Surrogate Genetic Programming: A semantic aware evolutionary search. Inf. Sci. 296: 345-359 (2015) - [j72]Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 7(2): 75-76 (2015) - [j71]Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 7(3): 157-158 (2015) - [j70]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang:
Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems. Memetic Comput. 7(3): 159-180 (2015) - [j69]Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 7(4): 241-242 (2015) - [j68]Iti Chaturvedi, Yew-Soon Ong, Rajesh Vellore Arumugam:
Deep transfer learning for classification of time-delayed Gaussian networks. Signal Process. 110: 250-262 (2015) - [j67]Siwei Jiang, Jie Zhang, Yew-Soon Ong, Allan N. Zhang, Puay Siew Tan:
A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. 45(10): 2202-2213 (2015) - [j66]Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Ivor W. Tsang:
Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP. IEEE Trans. Evol. Comput. 19(5): 644-658 (2015) - [j65]Gitae Kim, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan, Nengsheng Allan Zhang:
City Vehicle Routing Problem (City VRP): A Review. IEEE Trans. Intell. Transp. Syst. 16(4): 1654-1666 (2015) - [j64]Yoan Miche, Meng-Hiot Lim, Amaury Lendasse, Yew-Soon Ong:
Meme representations for game agents. World Wide Web 18(2): 215-234 (2015) - [c89]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
An Adaptive Gradient Method for Online AUC Maximization. AAAI 2015: 2568-2574 - [c88]Abhishek Gupta, Yew-Soon Ong:
An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs. CEC 2015: 1636-1642 - [c87]Stephanus Daniel Handoko, Hoong Chuin Lau, Abhishek Gupta, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan:
Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming. CEC 2015: 2713-2720 - [c86]Haiyan Yin, Linbo Luo, Wentong Cai, Yew-Soon Ong, Jinghui Zhong:
A data-driven approach for online adaptation of game difficulty. CIG 2015: 146-153 - [c85]Qing Guo, Chen Kim Heng, Yin-Leng Theng, Yew-Soon Ong, Puay Siew Tan:
Offline time-sensitive travel time estimation in an urban road network. IEEM 2015: 848-852 - [c84]Yew-Soon Ong:
Towards Evolutionary Multitasking: A New Paradigm. SoICT 2015: 2 - 2014
- [j63]Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang:
The Emerging ?Big Dimensionality? IEEE Comput. Intell. Mag. 9(3): 14-26 (2014) - [j62]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
Multiobjective optimization based on reputation. Inf. Sci. 286: 125-146 (2014) - [j61]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 6(1): 1-2 (2014) - [j60]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 6(2): 75-76 (2014) - [j59]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 6(4): 213-214 (2014) - [j58]Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng:
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization. IEEE Trans. Cybern. 44(12): 2391-2404 (2014) - [c83]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
A pheromone-based traffic management model for vehicle re-routing and traffic light control. AAMAS 2014: 1479-1480 - [c82]Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi:
Transformation of input space using statistical moments: EA-based approach. IEEE Congress on Evolutionary Computation 2014: 2499-2506 - [c81]Jesada Kajornrit, Kevin Kok Wai Wong, Lance Chun Che Fung, Yew-Soon Ong:
An integrated intelligent technique for monthly rainfall time series prediction. FUZZ-IEEE 2014: 1632-1639 - 2013
- [j57]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Stephanus Daniel Handoko, Chee Keong Kwoh, H. Y. Man:
Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing. IEEE Comput. Intell. Mag. 8(3): 54-63 (2013) - [j56]Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff:
Evolution by Adapting Surrogates. Evol. Comput. 21(2): 313-340 (2013) - [j55]Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu:
Extreme Learning Machines. IEEE Intell. Syst. 28(6): 30-59 (2013) - [j54]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 5(1): 1-2 (2013) - [j53]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 5(2): 81-82 (2013) - [j52]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 5(3): 163-164 (2013) - [j51]Ee-May Kan, Meng-Hiot Lim, Yew-Soon Ong, Ah-Hwee Tan, Swee-Ping Yeo:
Extreme learning machine terrain-based navigation for unmanned aerial vehicles. Neural Comput. Appl. 22(3-4): 469-477 (2013) - [j50]Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang:
Combating Negative Transfer From Predictive Distribution Differences. IEEE Trans. Cybern. 43(4): 1153-1165 (2013) - [j49]Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong:
Transfer Ordinal Label Learning. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1863-1876 (2013) - [c80]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
An evolutionary model for constructing robust trust networks. AAMAS 2013: 813-820 - [c79]Xuefeng Chen, Yifeng Zeng, Yew-Soon Ong, Choon Sing Ho, Yanping Xiang:
A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems. IEEE Congress on Evolutionary Computation 2013: 1635-1642 - [c78]Ahmed Kattan, Yew-Soon Ong, Edgar Galván López:
Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach. IEEE Congress on Evolutionary Computation 2013: 2556-2563 - [c77]Jacek Mandziuk, Yew-Soon Ong, Karol Waledzik:
Multi-game playing - A challenge for computational intelligence. CIHLI 2013: 17-24 - [c76]Ge Zhang, Yonggang Wen, Yew-Soon Ong:
Near-optimal packet allocation algorithm for content uploading to media cloud via collaborative wireless network. ICNC 2013: 762-767 - [c75]Xianshun Chen, Yew-Soon Ong, Puay Siew Tan, NengSheng Zhang, Zhengping Li:
Agent-Based Modeling and Simulation for Supply Chain Risk Management - A Survey of the State-of-the-Art. SMC 2013: 1294-1299 - [c74]Zhengping Li, Puay Siew Tan, Qi Ming Gabriel Yee, Quoc Chinh Nguyen, Yew-Soon Ong, Xianshun Chen:
A Review of Complex Systems Technologies for Supply Chain Risk Management. SMC 2013: 2783-2789 - [c73]Quoc Chinh Nguyen, Zhengping Li, Puay Siew Tan, Xianshun Chen, Yew-Soon Ong:
An Agent-Based Simulation to Quantify and Analyze Bullwhip Effects in Supply Chains. SMC 2013: 4528-4532 - 2012
- [j48]Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Comput. Intell. Mag. 7(1): 20-35 (2012) - [j47]Mostafa Mostafa Hashim Ellabaan, Stephanus Daniel Handoko, Yew-Soon Ong, Chee Keong Kwoh, S. A. Bahnassy, F. M. Elassawy, H. Y. Man:
A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules. Comput. Math. Appl. 64(12): 3792-3804 (2012) - [j46]Xianshun Chen, Liang Feng, Yew-Soon Ong:
A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem. Int. J. Syst. Sci. 43(7): 1347-1366 (2012) - [j45]Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim:
Ockham's Razor in memetic computing: Three stage optimal memetic exploration. Inf. Sci. 188: 17-43 (2012) - [j44]Meng-Hiot Lim, Natalio Krasnogor, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 4(1): 1-2 (2012) - [j43]Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong:
QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1266-1272 (2012) - [j42]Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong:
Erratum to "QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization". IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1853 (2012) - [j41]Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong:
Transductive Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1074-1086 (2012) - [j40]Xianshun Chen, Yew-Soon Ong:
A Conceptual Modeling of Meme Complexes in Stochastic Search. IEEE Trans. Syst. Man Cybern. Part C 42(5): 612-625 (2012) - [c72]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
A multiagent evolutionary framework based on trust for multiobjective optimization. AAMAS 2012: 299-306 - [c71]Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao:
Virtual characters in agent-augmented co-space (demonstration). AAMAS 2012: 1465-1466 - [c70]Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan:
An evolutionary search paradigm that learns with past experiences. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c69]Hsueh En Huang, Yew-Soon Ong, Xianshun Chen:
Autonomous flock brush for non-photorealistic rendering. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c68]Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff:
Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c67]Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang:
Pareto Rank Learning in Multi-objective Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c66]Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong:
Maximum margin clustering on evolutionary data. CIKM 2012: 625-634 - [c65]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong:
Experiences on memetic computation for locating transition states in biochemical applications. GECCO (Companion) 2012: 623-624 - [c64]A. Kai Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong:
An improved CUDA-based implementation of differential evolution on GPU. GECCO 2012: 991-998 - [c63]Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao:
Learning Target Predictive Function without Target Labels. ICDM 2012: 1098-1103 - [c62]Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong:
Discovering Support and Affiliated Features from Very High Dimensions. ICML 2012 - [c61]Choon Sing Ho, Yew-Soon Ong, Xianshun Chen, Ah-Hwee Tan:
FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development. SEAL 2012: 258-269 - [e6]Lam Thu Bui, Yew-Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan:
Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings. Lecture Notes in Computer Science 7673, Springer 2012, ISBN 978-3-642-34858-7 [contents] - [i2]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang:
Meme as Building Block for Evolutionary Optimization of Problem Instances. CoRR abs/1207.0702 (2012) - 2011
- [j39]Ah-Hwee Tan, Yew-Soon Ong, Akejariyawong Tapanuj:
A hybrid agent architecture integrating desire, intention and reinforcement learning. Expert Syst. Appl. 38(7): 8477-8487 (2011) - [j38]William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Ivor Wai-Hung Tsang, Yew-Soon Ong, Frédéric Bard, Victor Racine:
Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study. Int. J. Comput. Biol. Drug Des. 4(2): 194-215 (2011) - [j37]Heiko Aydt, Stephen John Turner, Wentong Cai, Malcolm Yoke Hean Low, Yew-Soon Ong, Rassul Ayani:
Toward an Evolutionary Computing Modeling Language. IEEE Trans. Evol. Comput. 15(2): 230-247 (2011) - [j36]Yew-Soon Ong, Kay Chen Tan:
Guest Editorial. IEEE Trans. Evol. Comput. 15(5): 589-590 (2011) - [j35]Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan:
A Multi-Facet Survey on Memetic Computation. IEEE Trans. Evol. Comput. 15(5): 591-607 (2011) - [c60]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization. Australasian Conference on Artificial Intelligence 2011: 351-360 - [c59]Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta:
A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. IEEE Congress on Evolutionary Computation 2011: 744-749 - [c58]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen:
Towards human-like social multi-agents with memetic automaton. IEEE Congress on Evolutionary Computation 2011: 1092-1099 - [c57]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan H. Chan:
Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. IEEE Congress on Evolutionary Computation 2011: 1209-1216 - [c56]Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong:
Healing Sample Selection Bias by Source Classifier Selection. ICDM 2011: 577-586 - [c55]Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong:
Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. ICNC 2011: 1260-1264 - [c54]Manoranjan Dash, Yew-Soon Ong:
RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data. ICTAI 2011: 869-872 - [c53]Li Qin Song, Meng-Hiot Lim, Yew-Soon Ong:
Neural meta-memes framework for managing search algorithms in combinatorial optimization. Memetic Computing 2011: 37-42 - [i1]Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong:
Transductive Ordinal Regression. CoRR abs/1102.2808 (2011) - 2010
- [j34]Yew-Soon Ong, Meng-Hiot Lim, Xianshun Chen:
Memetic Computation - Past, Present & Future [Research Frontier]. IEEE Comput. Intell. Mag. 5(2): 24-31 (2010) - [j33]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. 37(8): 5960-5980 (2010) - [j32]Ah-Hwee Tan, Yu-Hong Feng, Yew-Soon Ong:
A self-organizing neural architecture integrating desire, intention and reinforcement learning. Neurocomputing 73(7-9): 1465-1477 (2010) - [j31]Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada:
Identification of Full and Partial Class Relevant Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 7(2): 263-277 (2010) - [j30]Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff:
Generalizing Surrogate-Assisted Evolutionary Computation. IEEE Trans. Evol. Comput. 14(3): 329-355 (2010) - [j29]Harold Soh, Yew-Soon Ong, Quoc Chinh Nguyen, Quang Huy Nguyen, Mohamed Salahuddin Habibullah, Terence Hung, Jer-Lai Kuo:
Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis. IEEE Trans. Evol. Comput. 14(3): 419-437 (2010) - [j28]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong:
Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms. IEEE Trans. Evol. Comput. 14(5): 740-758 (2010) - [c52]Stephanus Daniel Handoko, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong:
Structural analysis of (TCR - )HLA/peptide complexes: An initial study. BIBM Workshops 2010: 63-66 - [c51]William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Yew-Soon Ong, Ivor Wai-Hung Tsang, Victor Racine, Frédéric Bard:
Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening. BIBM Workshops 2010: 252-257 - [c50]Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan:
Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c49]Dudy Lim, Yew-Soon Ong, Rachman Setiawan, Muhammad Idris:
Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c48]Zin-Yan Chua, Yilin Kang, Xing Jiang, Kah-Hoe Pang, Andrew C. Gregory, Chi-Yun Tan, Wai-Lun Wong, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao:
Youth Olympic Village Co-space. CW 2010: 200-207 - [c47]Choon Sing Ho, Quang Huy Nguyen, Yew-Soon Ong, Xianshun Chen:
Autonomous Multi-agents in Flexible Flock Formation. MIG 2010: 375-385 - [c46]Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Gary Kee Khoon Lee:
Predictive Distribution Matching SVM for Multi-domain Learning. ECML/PKDD (1) 2010: 231-247 - [c45]Li Qin Song, Meng-Hiot Lim, Yew-Soon Ong:
Neural Meta-Memes Framework for Combinatorial Optimization. SEMCCO 2010: 198-205 - [e5]Jonathan H. Chan, Yew-Soon Ong, Sung-Bae Cho:
Computational Systems-Biology and Bioinformatics - First International Conference, CSBio 2010, Bangkok, Thailand, November 3-5, 2010. Proceedings. Communications in Computer and Information Science 115, Springer 2010, ISBN 978-3-642-16749-2 [contents]
2000 – 2009
- 2009
- [j27]Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim, Natalio Krasnogor:
Adaptive Cellular Memetic Algorithms. Evol. Comput. 17(2): 231-256 (2009) - [j26]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial to the first issue. Memetic Comput. 1(1): 1-2 (2009) - [j25]Ryan J. Meuth, Meng-Hiot Lim, Yew-Soon Ong, Donald C. Wunsch:
A proposition on memes and meta-memes in computing for higher-order learning. Memetic Comput. 1(2): 85-100 (2009) - [j24]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 1(3): 173-174 (2009) - [j23]Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Comput. 1(3): 175-190 (2009) - [j22]Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi:
Special issue on emerging trends in soft computing: memetic algorithms. Soft Comput. 13(8-9): 739-740 (2009) - [j21]Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim:
A Probabilistic Memetic Framework. IEEE Trans. Evol. Comput. 13(3): 604-623 (2009) - [c44]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong:
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems. Australasian Conference on Artificial Intelligence 2009: 391-400 - [c43]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Meng-Hiot Lim, Jer-Lai Kuo:
Finding multiple first order saddle points using a valley adaptive clearing genetic algorithm. CIRA 2009: 457-462 - [c42]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong:
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search. ISDA 2009: 1-6 - 2008
- [j20]Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair:
Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solvers. Comput. Optim. Appl. 39(1): 97-119 (2008) - [j19]Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu:
A fast pruned-extreme learning machine for classification problem. Neurocomputing 72(1-3): 359-366 (2008) - [j18]Kwee Kim Lim, Yew-Soon Ong, Meng-Hiot Lim, Xianshun Chen, Amit Agarwal:
Hybrid ant colony algorithms for path planning in sparse graphs. Soft Comput. 12(10): 981-994 (2008) - [j17]Kiam Tian Seow, Kwang Mong Sim, Yew-Soon Ong, E. P. Sulaiman:
A BDI Assignment Protocol With New Cooperative-Concession Strategies. IEEE Trans. Syst. Man Cybern. Part A 38(3): 688-697 (2008) - [c41]Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong:
Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems. IEEE Congress on Evolutionary Computation 2008: 2380-2387 - [c40]Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh:
Memetic Gradient Search. IEEE Congress on Evolutionary Computation 2008: 2894-2901 - [c39]Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh:
An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 3741-3746 - [c38]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Meng-Hiot Lim:
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients. IEEE Congress on Evolutionary Computation 2008: 4031-4038 - [c37]Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim:
Non-genetic transmission of memes by diffusion. GECCO 2008: 1017-1024 - [c36]Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen:
Optinformatics for schema analysis of binary genetic algorithms. GECCO 2008: 1121-1122 - [c35]Anh-Duc Do, Siu-Yeung Cho, Yew-Soon Ong:
A Multi-Objective Memetic Algorithm Based Clustering Method. IC-AI 2008: 881-887 - [c34]Minh Nghia Le, Yew-Soon Ong:
A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms. ICIC (2) 2008: 131-139 - [c33]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) 2008: 235-242 - [c32]Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong:
Extreme learning machine for multi-categories classification applications. IJCNN 2008: 1709-1713 - [c31]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong:
Using classification for constrained memetic algorithm: A new paradigm. SMC 2008: 547-552 - 2007
- [j16]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee:
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Gener. Comput. Syst. 23(4): 658-670 (2007) - [j15]Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash:
Markov blanket-embedded genetic algorithm for gene selection. Pattern Recognit. 40(11): 3236-3248 (2007) - [j14]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong:
Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems. Soft Comput. 11(9): 873-888 (2007) - [j13]Zongzhao Zhou, Yew-Soon Ong, Meng-Hiot Lim, Bu-Sung Lee:
Memetic algorithm using multi-surrogates for computationally expensive optimization problems. Soft Comput. 11(10): 957-971 (2007) - [j12]Ferrante Neri, Jari Toivanen, Giuseppe Leonardo Cascella, Yew-Soon Ong:
An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 264-278 (2007) - [j11]Yew-Soon Ong, Natalio Krasnogor, Hisao Ishibuchi:
Special Issue on Memetic Algorithms. IEEE Trans. Syst. Man Cybern. Part B 37(1): 2-5 (2007) - [j10]Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum:
Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Part C 37(1): 66-76 (2007) - [j9]Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash:
Wrapper-Filter Feature Selection Algorithm Using a Memetic Framework. IEEE Trans. Syst. Man Cybern. Part B 37(1): 70-76 (2007) - [c30]Mohamed Salahuddin, Terence Hung, Harold Soh, Endang Sulaiman, Yew-Soon Ong, Bu-Sung Lee, Ren Yunxia:
Grid-based PSE for Engineering of Materials (GPEM). CCGRID 2007: 309-316 - [c29]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 568-575 - [c28]Quang Huy Nguyen, Yew-Soon Ong, Natalio Krasnogor:
A study on the design issues of Memetic Algorithm. IEEE Congress on Evolutionary Computation 2007: 2390-2397 - [c27]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, L. Q. Song:
Hierarchical model parallel memetic algorithm in heterogeneous computing environment. IEEE Congress on Evolutionary Computation 2007: 2758-2765 - [c26]Harold Soh, Yew-Soon Ong, Mohamed Salahuddin, Terence Hung, Bu-Sung Lee:
Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization. MCDM 2007: 325-332 - [c25]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. GECCO 2007: 1288-1295 - [c24]Zexuan Zhu, Yew-Soon Ong:
Memetic Algorithms for Feature Selection on Microarray Data. ISNN (1) 2007: 1327-1335 - [p2]Ju Hui Li, Meng-Hiot Lim, Yew-Soon Ong, Qi Cao:
Evolvable Fuzzy Scheduling Scheme for Multiple-ChannelPacket Switching Network. Evolutionary Scheduling 2007: 383-403 - [p1]Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, Yaochu Jin:
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 437-456 - [e4]Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence 51, Springer 2007, ISBN 978-3-540-49772-1 [contents] - 2006
- [j8]Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genet. Program. Evolvable Mach. 7(4): 293-294 (2006) - [j7]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee:
Inverse multi-objective robust evolutionary design. Genet. Program. Evolvable Mach. 7(4): 383-404 (2006) - [j6]Chee-Wee Thomas Yeu, Meng-Hiot Lim, Guang-Bin Huang, Amit Agarwal, Yew-Soon Ong:
A new machine learning paradigm for terrain reconstruction. IEEE Geosci. Remote. Sens. Lett. 3(3): 382-386 (2006) - [j5]Yew-Soon Ong, Prasanth B. Nair, Kai Yew Lum:
Max-min surrogate-assisted evolutionary algorithm for robust design. IEEE Trans. Evol. Comput. 10(4): 392-404 (2006) - [j4]Qi Cao, Meng-Hiot Lim, Ju Hui Li, Yew-Soon Ong, Willie Ng:
A context switchable fuzzy inference chip. IEEE Trans. Fuzzy Syst. 14(4): 552-567 (2006) - [j3]Yew-Soon Ong, Meng-Hiot Lim, Ning Zhu, Kok Wai Wong:
Classification of adaptive memetic algorithms: a comparative study. IEEE Trans. Syst. Man Cybern. Part B 36(1): 141-152 (2006) - [c23]Bu-Sung Lee, Ming Tang, Junwei Zhang, Yew-Soon Ong, Cindy Zheng, Peter W. Arzberger, David Abramson:
Analysis of Jobs in a Multi-Organizational Grid Test-bed. CCGRID 2006: 59 - [c22]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Trusted Evolutionary Algorithm. IEEE Congress on Evolutionary Computation 2006: 149-156 - [c21]Yew-Soon Ong, Zongzhao Zhou, Dudy Lim:
Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation. IEEE Congress on Evolutionary Computation 2006: 2928-2935 - [c20]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong:
Adaptation for parallel memetic algorithm based on population entropy. GECCO 2006: 575-582 - [c19]Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang:
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. GECCO 2006: 599-606 - [c18]Narendra S. Chaudhari, Yew-Soon Ong, V. Trivedi:
Computational Capabilities of Soft-Computing Frameworks: An Overview. ICARCV 2006: 1-6 - [c17]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Guanglan Zhang, Vladimir Brusic:
Extreme Learning Machine for Predicting HLA-Peptide Binding. ISNN (2) 2006: 716-721 - 2005
- [c16]Quoc-Thuan Ho, Wentong Cai, Yew-Soon Ong:
Design and implementation of an efficient multi-cluster GridRPC system. CCGRID 2005: 358-365 - [c15]Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim:
A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm. Congress on Evolutionary Computation 2005: 2832-2839 - [c14]Kok Wai Wong, Chun Che Fung, Yew-Soon Ong, Tamás D. Gedeon:
Reservoir Characterization Using Support Vector Machines. CIMCA/IAWTIC 2005: 354-359 - [c13]Hee-Khiang Ng, Yew-Soon Ong, Terence Hung, Bu-Sung Lee:
Grid Enabled Optimization. EGC 2005: 296-304 - [c12]Dudy Lim, Yew-Soon Ong, Bu-Sung Lee:
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty. GECCO Workshops 2005: 55-62 - [c11]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er:
Solving large scale combinatorial optimization using PMA-SLS. GECCO 2005: 621-628 - [c10]Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff:
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. ICNC (2) 2005: 1112-1121 - [e3]Lipo Wang, Ke Chen, Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3610, Springer 2005, ISBN 3-540-28323-4 [contents] - [e2]Lipo Wang, Ke Chen, Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3611, Springer 2005, ISBN 3-540-28325-0 [contents] - [e1]Lipo Wang, Ke Chen, Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III. Lecture Notes in Computer Science 3612, Springer 2005, ISBN 3-540-28320-X [contents] - 2004
- [j2]Ning Zhu, Yew-Soon Ong, Kok Wai Wong, Kiam Tian Seow:
Using Memetic Algorithms for Fuzzy Modelling. Aust. J. Intell. Inf. Process. Syst. 8(3): 147-154 (2004) - [j1]Yew-Soon Ong, Andy J. Keane:
Meta-Lamarckian learning in memetic algorithms. IEEE Trans. Evol. Comput. 8(2): 99-110 (2004) - [c9]See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong:
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data. APBC 2004: 123-129 - [c8]Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair:
Hierarchical surrogate-assisted evolutionary optimization framework. IEEE Congress on Evolutionary Computation 2004: 1586-1593 - [c7]Wenbin Song, Yew-Soon Ong, Hee-Khiang Ng, Andy J. Keane, Simon J. Cox, Bu-Sung Lee:
A service-oriented approach for aerodynamic shape optimisation across institutional boundaries. ICARCV 2004: 2274-2279 - [c6]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er:
Study of migration topology in island model parallel hybrid-GA for large scale quadratic assignment problems. ICARCV 2004: 2286-2291 - [c5]Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai, Hee-Khiang Ng, Bu-Sung Lee:
GAD Kit - A Toolkit for "Gridifying" Applications. PDCAT 2004: 868-871 - 2003
- [c4]Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair, Daming Shi, Z. K. Zhang:
Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design. IEEE Congress on Evolutionary Computation 2003: 1856-1863 - [c3]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong:
A parallel hybrid GA for combinatorial optimization using grid technology. IEEE Congress on Evolutionary Computation 2003: 1895-1902 - [c2]Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai:
"Gridifying" Aerodynamic Design Problem Using GridRPC. GCC (1) 2003: 83-90 - [c1]Daming Shi, Yew-Soon Ong, Eng Chong Tan:
Handwritten Chinese character recognition using kernel active handwriting model. SMC 2003: 251-255 - 2002
- [b1]Yew-Soon Ong:
Artificial intelligence technologies in complex engineering design. University of Southampton, UK, 2002
Coauthor Index
Jonathan M. Garibaldi
aka: Jon Garibaldi
aka: Jon Garibaldi
Chi Keong Goh
aka: Chi-Keong Goh
aka: Chi-Keong Goh
[j232] [j229] [j228] [c160] [i97] [i93] [j215] [j207] [j202] [j199] [c156] [i75] [i67] [i63] [j194] [j186] [j184] [j181] [j180] [j178] [c149] [c142] [c138] [i60] [i59] [i48] [j175] [j172] [j167] [j163] [j162] [j160] [j158] [i47] [i40] [i39] [j147] [j145] [i32] [i28] [j136] [j134] [j133] [j131] [j129] [j128] [j127] [j125] [j123] [c124] [c123] [c120] [i23] [i22] [j111] [j110] [j109] [j108] [j106] [i10] [j100] [j99] [j98] [j95] [j92] [c111] [c110] [p3] [i7] [i6] [i5] [j89] [j88] [j76] [c107] [c103] [c101] [c100] [c99] [c98] [c93] [i3] [c88] [c87]
A. Kai Qin
aka: Alex Kai Qin
aka: Alex Kai Qin
Ivor W. Tsang
aka: Ivor Wai-Hung Tsang
aka: Ivor Wai-Hung Tsang
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