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ORCIDHan Yu 0001
Person information
- affiliation: Nanyang Technological University, School of Computer Science and Engineering, Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Singapore
Other persons with the same name
- Han Yu — disambiguation page
- Han Yu 0002 — General Electric Global Research Center, Niskayuna, NY, USA (and 1 more)
- Han Yu 0003 — University of Central Florida, School of Computer Science, Orlando, FL, USA
- Han Yu 0004
![[0000-0002-0514-2089]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0514-2089")
— Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China - Han Yu 0005 — Shanghai Jiao Tong University, China
- Han Yu 0007 — University at Buffalo, New York, USA
- Han Yu 0008 — Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA
- Han Yu 0009 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Han Yu 0010 — Chalmers University of Technology, Gothenburg, Sweden (and 1 more)
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2020 – today
- 2024
[j86]Chao Ren, Chunran Zou, Zehui Xiong, Han Yu, Zhao Yang Dong, Dusit Niyato:
Achieving 500X Acceleration for Adversarial Robustness Verification of Tree-Based Smart Grid Dynamic Security Assessment. IEEE CAA J. Autom. Sinica 11(3): 800-802 (2024)- [j85]Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, Han Yu, Jiawen Kang, Xuemin Shen:
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication. IEEE Internet Things J. 11(3): 4454-4469 (2024) - [j84]Chao Ren, Han Yu, Rudai Yan, Qiaoqiao Li, Yan Xu, Dusit Niyato, Zhao Yang Dong:
SecFedSA: A Secure Differential-Privacy-Based Federated Learning Approach for Smart Cyber-Physical Grid Stability Assessment. IEEE Internet Things J. 11(4): 5578-5588 (2024) - [j83]Chao Ren, Rudai Yan, Minrui Xu, Han Yu, Yan Xu, Dusit Niyato, Zhao Yang Dong:
QFDSA: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment. IEEE Internet Things J. 11(5): 8414-8426 (2024) - [j82]Xiaoli Tang, Han Yu:
Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning. IEEE Internet Things J. 11(15): 26518-26530 (2024) - [j81]Yuanlu Chen, Alysa Ziying Tan, Siwei Feng, Han Yu, Tao Deng, Libang Zhao, Feng Wu:
General Federated Class-Incremental Learning With Lightweight Generative Replay. IEEE Internet Things J. 11(20): 33927-33939 (2024) - [j80]Yulan Gao, Ziqiang Ye, Han Yu:
Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approach. IEEE J. Sel. Areas Commun. 42(12): 3462-3476 (2024) - [j79]Liping Yi, Xiaorong Shi, Nan Wang, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
pFedKT: Personalized federated learning with dual knowledge transfer. Knowl. Based Syst. 292: 111633 (2024) - [j78]Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan:
Aggregating intrinsic information to enhance BCI performance through federated learning. Neural Networks 172: 106100 (2024) - [j77]Qianyu Li, Bozheng Feng, Xiaoli Tang, Han Yu, Hengjie Song:
MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion. Neural Networks 174: 106222 (2024) - [j76]Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Anh Tuan Luu, Han Yu:
Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. Proc. ACM Manag. Data 2(3): 144 (2024) - [j75]Siwei Feng, Han Yu, Yuebing Zhu:
MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios. Sensors 24(2): 619 (2024) - [j74]Xiaohu Wu, Han Yu:
MarS-FL: Enabling Competitors to Collaborate in Federated Learning. IEEE Trans. Big Data 10(6): 801-811 (2024) - [j73]Chen Chen, Lingjuan Lyu, Han Yu, Gang Chen:
Practical Attribute Reconstruction Attack Against Federated Learning. IEEE Trans. Big Data 10(6): 851-863 (2024) - [j72]Pengwei Xing, Songtao Lu, Lingfei Wu, Han Yu:
BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning. IEEE Trans. Big Data 10(6): 903-914 (2024) - [j71]Haoran Shi, Yonghui Xu, Yali Jiang, Han Yu, Lizhen Cui:
Efficient Asynchronous Multi-Participant Vertical Federated Learning. IEEE Trans. Big Data 10(6): 940-952 (2024) - [j70]Xavier Tan, Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Han Yu:
Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming. IEEE Trans. Big Data 10(6): 953-964 (2024) - [j69]Sheng Liu, Linlin You, Rui Zhu, Bing Liu, Rui Liu, Han Yu, Chau Yuen:
AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection. IEEE Trans. Intell. Transp. Syst. 25(8): 9659-9674 (2024) - [j68]Anran Li, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang, Luu Anh Tuan, Han Yu, Xiang-Yang Li:
Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning. IEEE Trans. Mob. Comput. 23(6): 7238-7255 (2024) - [j67]Anran Li, Guangjing Wang, Ming Hu, Jianfei Sun, Lan Zhang, Luu Anh Tuan, Han Yu:
Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization. IEEE Trans. Mob. Comput. 23(12): 15196-15209 (2024) - [j66]Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8726-8746 (2024) - [j65]Yuxin Shi, Han Yu, Cyril Leung:
Towards Fairness-Aware Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11922-11938 (2024) - [c158]Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu:
Multi-Dimensional Fair Federated Learning. AAAI 2024: 15083-15090 - [c157]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 - [c156]Chang Liu, Peng Hou, Anxiang Zeng, Han Yu:
Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce. AAAI 2024: 22770-22778 - [c155]Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li, Xiaoli Tang, Han Yu, Zhiqi Shen, Cyril Leung:
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment. AAAI 2024: 22815-22823 - [c154]Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. AAAI 2024: 22824-22832 - [c153]Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren, Han Yu:
Image Aesthetics Assessment Via Learnable Queries. ICASSP 2024: 2805-2809 - [c152]Yuxin Shi, Han Yu:
Fairness-Aware Job Scheduling for Multi-Job Federated Learning. ICASSP 2024: 6350-6354 - [c151]Zichao Deng, Han Yu:
Noise-Resistant Graph Neural Network for Node Classification. ICASSP 2024: 7560-7564 - [c150]Chao Ren, Minrui Xu, Han Yu, Zehui Xiong, Zhenyong Zhang, Dusit Niyato:
Variational Quantum Circuit and Quantum Key Distribution-Based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment. ICC 2024: 1115-1120 - [c149]Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu, Xiaoxiao Li:
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models. ICME 2024: 1-6 - [c148]Qianyu Li, Xiaoli Tang, Siyao Zhou, Han Yu, Hengjie Song, Lizhen Cui, Xiaoxiao Li:
FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization. ICME 2024: 1-6 - [c147]Alysa Ziying Tan, Siwei Feng, Han Yu:
FL-Clip: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models. ICME 2024: 1-6 - [c146]Xiaoli Tang, Han Yu, Xiaoxiao Li:
Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning. ICME 2024: 1-6 - [c145]Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren, Han Yu:
Multi-modal Learnable Queries for Image Aesthetics Assessment. ICME 2024: 1-6 - [c144]Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li:
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. ICML 2024 - [c143]Pengwei Xing, Songtao Lu, Han Yu:
Federated Neuro-Symbolic Learning. ICML 2024 - [c142]Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li:
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. IJCAI 2024: 4071-4079 - [c141]Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li:
Dual Calibration-based Personalised Federated Learning. IJCAI 2024: 4982-4990 - [c140]Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li:
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. IJCAI 2024: 4991-4999 - [c139]Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li:
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. IJCAI 2024: 5371-5379 - [c138]Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus:
Intelligent Agents for Auction-based Federated Learning: A Survey. IJCAI 2024: 8253-8261 - [c137]Qianyu Li, Jiebin Chen, Xiaoli Tang, Han Yu, Hengjie Song:
Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process. IJCNN 2024: 1-8 - [c136]Xavier Tan, Han Yu:
Hire When You Need to: Gradual Participant Recruitment for Auction-Based Federated Learning. IJCNN 2024: 1-8 - [c135]Xiaoli Tang, Han Yu:
Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning. IJCNN 2024: 1-8 - [c134]Yansong Zhao, Siyao Zhou, Yulan Gao, Han Yu:
A Fair Incentive Mechanism for Federated Auctioning Networks. IJCNN 2024: 1-8 - [c133]Jianfu Zhang, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawen Liu, Yawei Sun, Chen Liang, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Han Yu:
An E-Commerce Dataset Revealing Variations during Sales. SIGIR 2024: 1162-1171 - [c132]Irwin King, Guodong Long, Zenglin Xu, Han Yu:
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) 2024: 1546-1547 - [i97]Yuxin Shi, Han Yu:
Fairness-Aware Job Scheduling for Multi-Job Federated Learning. CoRR abs/2401.02740 (2024) - [i96]Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Yuan Cao, Yulan Gao, Chao Ren, Han Yu:
Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation. CoRR abs/2401.07120 (2024) - [i95]Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning. CoRR abs/2402.01350 (2024) - [i94]Yulan Gao, Chao Ren, Han Yu:
Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks. CoRR abs/2403.09153 (2024) - [i93]Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus:
Intelligent Agents for Auction-based Federated Learning: A Survey. CoRR abs/2404.13244 (2024) - [i92]Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang:
Advances and Open Challenges in Federated Learning with Foundation Models. CoRR abs/2404.15381 (2024) - [i91]Liping Yi, Han Yu, Chao Ren, Heng Zhang, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning. CoRR abs/2404.17847 (2024) - [i90]Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren, Han Yu:
Multi-modal Learnable Queries for Image Aesthetics Assessment. CoRR abs/2405.01326 (2024) - [i89]Xiaoli Tang, Han Yu, Xiaoxiao Li:
Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning. CoRR abs/2405.05991 (2024) - [i88]Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li:
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler. CoRR abs/2405.15458 (2024) - [i87]Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
Federated Model Heterogeneous Matryoshka Representation Learning. CoRR abs/2406.00488 (2024) - [i86]Yulan Gao, Ziqiang Ye, Han Yu:
Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approach. CoRR abs/2407.05571 (2024) - [i85]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) - [i84]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) - [i83]Yifei Zhang, Hao Zhu, Aiwei Liu, Han Yu, Piotr Koniusz, Irwin King:
Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs. CoRR abs/2410.19694 (2024) - 2023
- [j64]Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. AI Mag. 44(1): 4-15 (2023) - [j63]Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent online selling point extraction and generation for e-commerce recommendation. AI Mag. 44(1): 16-29 (2023) - [j62]Yanyan Zou, Xueying Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Mian Ma, Sulong Xu, Han Yu, Lingfei Wu:
Automatic product copywriting for e-commerce. AI Mag. 44(1): 41-53 (2023) - [j61]Chang Liu, Han Yu:
AI-Empowered Persuasive Video Generation: A Survey. ACM Comput. Surv. 55(13s): 285:1-285:31 (2023) - [j60]Chao Ren, Tianjing Wang, Han Yu, Yan Xu, Zhao Yang Dong:
EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(3): 817-828 (2023) - [j59]Jihu Wang, Yuliang Shi, Han Yu, Kun Zhang, Xinjun Wang, Zhongmin Yan, Hui Li:
Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning. Expert Syst. Appl. 211: 118563 (2023) - [j58]Jiehuang Zhang, Ying Shu, Han Yu:
Fairness in Design: A Framework for Facilitating Ethical Artificial Intelligence Designs. Int. J. Crowd Sci. 7(1): 32-39 (2023) - [j57]Jiehuang Zhang, Han Yu:
EID: Facilitating Explainable AI Design Discussions in Team-Based Settings. Int. J. Crowd Sci. 7(2): 47-54 (2023) - [j56]Lin Cheng, Yuliang Shi, Lin Li, Han Yu, Xinjun Wang, Zhongmin Yan:
KLECA: knowledge-level-evolution and category-aware personalized knowledge recommendation. Knowl. Inf. Syst. 65(3): 1045-1065 (2023) - [j55]Tengyun Wang, Haizhi Yang, Yang Liu, Han Yu, Hengjie Song:
A multimodal approach for improving market price estimation in online advertising. Knowl. Based Syst. 266: 110392 (2023) - [j54]Hongli Bian, Jie Tian, Jialiang Yu, Han Yu:
Bayesian Co-evolutionary Optimization based entropy search for high-dimensional many-objective optimization. Knowl. Based Syst. 274: 110630 (2023) - [j53]Jihu Wang, Yuliang Shi, Han Yu, Zhongmin Yan, Hui Li, Zhenjie Chen:
A novel KG-based recommendation model via relation-aware attentional GCN. Knowl. Based Syst. 275: 110702 (2023) - [j52]Yuan-Ai Xie, Jiawen Kang, Dusit Niyato, Nguyen Thi Thanh Van, Nguyen Cong Luong, Zhixin Liu, Han Yu:
Securing Federated Learning: A Covert Communication-Based Approach. IEEE Netw. 37(1): 118-124 (2023) - [j51]Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, Siyu Jiang, Haizhi Yang, Hengjie Song:
Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion. Neural Networks 164: 323-334 (2023) - [j50]Anran Li, Yue Cao, Jiabao Guo, Hongyi Peng, Qing Guo, Han Yu:
FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning. Proc. ACM Manag. Data 1(3): 212:1-212:24 (2023) - [j49]Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu, Hengjie Song:
Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings. IEEE Trans. Knowl. Data Eng. 35(1): 362-376 (2023) - [j48]Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu, Yang Yu, Zhi-Hua Zhou:
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. 35(2): 1214-1226 (2023) - [j47]Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin:
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12068-12080 (2023) - [j46]Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu:
Multicomponent Adversarial Domain Adaptation: A General Framework. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6824-6838 (2023) - [j45]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9587-9603 (2023) - [j44]Rakpong Kaewpuang, Suttinee Sawadsitang, Dusit Niyato, Han Yu:
Evolutionary Carrier Selection for Shared Truck Delivery Services. IEEE Trans. Veh. Technol. 72(5): 6778-6782 (2023) - [j43]Yu Guo, Ryan Wen Liu, Yuxu Lu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato:
Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation. IEEE Trans. Veh. Technol. 72(12): 15421-15435 (2023) - [c131]Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. AAAI 2023: 15485-15493 - [c130]Zi Qin Liew, Hongyang Du, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Han Yu:
Economics of Semantic Communication in Metaverse: An Auction Approach. CCNC 2023: 398-403 - [c129]Shaojun Chen, Xavier Tan, Wei Yang Bryan Lim, Zehui Xiong, Han Yu:
Privacy Budget-Aware Incentive Mechanism for Federated Learning in Intelligent Transportation Systems. ICC 2023: 3060-3065 - [c128]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Xuemin Sherman Shen:
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning. ICNC 2023: 71-76 - [c127]Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu:
Fairness-Aware Client Selection for Federated Learning. ICME 2023: 324-329 - [c126]Xiaoli Tang, Han Yu:
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning. ICME 2023: 330-335 - [c125]Zhiwei Xiong, Han Yu, Zhiqi Shen:
Federated Learning for Personalized Image Aesthetics Assessment. ICME 2023: 336-341 - [c124]Yulan Gao, Yansong Zhao, Han Yu:
Multi-Tier Client Selection for Mobile Federated Learning Networks. ICME 2023: 666-671 - [c123]Zhuan Shi, Zhenyu Yao, Liping Yi, Han Yu, Lan Zhang, Xiang-Yang Li:
FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness. ICWS 2023: 152-160 - [c122]Shipeng Wang, Qingzhong Li, Lizhen Cui, Yali Jiang, Zhiqi Shen, Han Yu:
CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers. ICWS 2023: 161-169 - [c121]Xiaoli Tang, Han Yu:
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning. IJCAI 2023: 4262-4270 - [c120]Xavier Tan, Wei Yang Bryan Lim, Dusit Niyato, Han Yu:
Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning. IJCNN 2023: 1-8 - [c119]Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. INFOCOM 2023: 1-10 - [c118]Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
FedGH: Heterogeneous Federated Learning with Generalized Global Header. ACM Multimedia 2023: 8686-8696 - [c117]Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou:
Recurrent Temporal Revision Graph Networks. NeurIPS 2023 - [c116]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Jiawen Kang:
Stochastic Qubit Resource Allocation for Quantum Cloud Computing. NOMS 2023: 1-5 - [c115]Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. SIGIR 2023: 372-382 - [c114]Ziqiang Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, Dusit Niyato:
Smart Healthcare with Hybrid Mobile Edge-Quantum Computing: Dynamic Computation Offloading for Latency Improvement. VTC Fall 2023: 1-5 - [c113]Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou:
Clustered Embedding Learning for Recommender Systems. WWW 2023: 1074-1084 - [e5]Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong:
Trustworthy Federated Learning - First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13448, Springer 2023, ISBN 978-3-031-28995-8 [contents] - [i82]Rakpong Kaewpuang, Suttinee Sawadsitang, Dusit Niyato, Han Yu:
Evolutionary Carrier Selection for Shared Truck Delivery Services. CoRR abs/2301.03635 (2023) - [i81]Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou:
Clustered Embedding Learning for Recommender Systems. CoRR abs/2302.01478 (2023) - [i80]Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu:
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning. CoRR abs/2302.10417 (2023) - [i79]Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. CoRR abs/2302.11485 (2023) - [i78]Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu:
Towards Interpretable Federated Learning. CoRR abs/2302.13473 (2023) - [i77]Liping Yi, Gang Wang, Xiaoguang Liu, Zhuan Shi, Han Yu:
FedGH: Heterogeneous Federated Learning with Generalized Global Header. CoRR abs/2303.13137 (2023) - [i76]Rakpong Kaewpuang, Minrui Xu, Stephen John Turner, Dusit Niyato, Han Yu, Dong In Kim:
Entangled Pair Resource Allocation under Uncertain Fidelity Requirements. CoRR abs/2304.04425 (2023) - [i75]Yu Guo, Ryan Wen Liu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato:
DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation. CoRR abs/2304.09588 (2023) - [i74]Xiaoli Tang, Han Yu:
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. CoRR abs/2305.06784 (2023) - [i73]Yulan Gao, Yansong Zhao, Han Yu:
Multi-Tier Client Selection for Mobile Federated Learning Networks. CoRR abs/2305.06865 (2023) - [i72]Chao Ren, Han Yu, Rudai Yan, Minrui Xu, Yuan Shen, Huihui Zhu, Dusit Niyato, Zhao Yang Dong, Leong Chuan Kwek:
Towards Quantum Federated Learning. CoRR abs/2306.09912 (2023) - [i71]Ziqiang Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, Dusit Niyato:
Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing. CoRR abs/2306.14588 (2023) - [i70]Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
Hierarchical Federated Learning Incentivization for Gas Usage Estimation. CoRR abs/2307.00233 (2023) - [i69]Yuxin Shi, Zelei Liu, Zhuan Shi, Han Yu:
Fairness-Aware Client Selection for Federated Learning. CoRR abs/2307.10738 (2023) - [i68]Rakpong Kaewpuang, Minrui Xu, Dinh Thai Hoang, Dusit Niyato, Han Yu, Ruidong Li, Zehui Xiong, Jiawen Kang:
Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing. CoRR abs/2307.13185 (2023) - [i67]Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu:
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers. CoRR abs/2308.03945 (2023) - [i66]Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan:
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning. CoRR abs/2308.11636 (2023) - [i65]Pengwei Xing, Songtao Lu, Han Yu:
FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models. CoRR abs/2308.15324 (2023) - [i64]Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren, Han Yu:
Image Aesthetics Assessment via Learnable Queries. CoRR abs/2309.02861 (2023) - [i63]Yizhou Chen, Anxiang Zeng, Guangda Huzhang, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Han Yu, Zhiming Zhou:
Recurrent Temporal Revision Graph Networks. CoRR abs/2309.12694 (2023) - [i62]Xavier Tan, Han Yu:
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning. CoRR abs/2310.02651 (2023) - [i61]Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu:
FedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning. CoRR abs/2310.13283 (2023) - [i60]Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu:
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing. CoRR abs/2311.06879 (2023) - [i59]Xiaoli Tang, Han Yu:
Multi-Session Budget Optimization for Forward Auction-based Federated Learning. CoRR abs/2311.12548 (2023) - [i58]Chang Liu, Peng Hou, Anxiang Zeng, Han Yu:
Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce. CoRR abs/2311.17954 (2023) - [i57]Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu:
Multi-dimensional Fair Federated Learning. CoRR abs/2312.05551 (2023) - [i56]Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu:
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning. CoRR abs/2312.09006 (2023) - [i55]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) - 2022
- [j42]Chunyu Hu, Yiqiang Chen, Lisha Hu, Han Yu, Dianjie Lu:
Disagreement-based class incremental random forest for sensor-based activity recognition. Knowl. Based Syst. 239: 108044 (2022) - [j41]Tengyun Wang, Haizhi Yang, Siyu Jiang, Yueyue Shi, Qianyu Li, Xiaoli Tang, Han Yu, Hengjie Song:
Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising. Knowl. Based Syst. 251: 109248 (2022) - [j40]Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang:
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252: 109384 (2022) - [j39]Shangwei Guo, Tianwei Zhang, Guowen Xu, Han Yu, Tao Xiang, Yang Liu:
Topology-Aware Differential Privacy for Decentralized Image Classification. IEEE Trans. Circuits Syst. Video Technol. 32(6): 4016-4027 (2022) - [j38]Shangwei Guo, Tianwei Zhang, Han Yu, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu:
Byzantine-Resilient Decentralized Stochastic Gradient Descent. IEEE Trans. Circuits Syst. Video Technol. 32(6): 4096-4106 (2022) - [j37]Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, Mohsen Guizani:
Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things. IEEE Trans. Green Commun. Netw. 6(3): 1574-1587 (2022) - [j36]Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu, Nadra Guizani:
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network. IEEE Trans. Ind. Informatics 18(11): 7977-7987 (2022) - [j35]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. 13(4): 60:1-60:21 (2022) - [j34]Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao:
Federated Learning for Personalized Humor Recognition. ACM Trans. Intell. Syst. Technol. 13(4): 68:1-68:18 (2022) - [c112]Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent Online Selling Point Extraction for E-commerce Recommendation. AAAI 2022: 12360-12368 - [c111]Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao:
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce. AAAI 2022: 12387-12395 - [c110]Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
Contribution-Aware Federated Learning for Smart Healthcare. AAAI 2022: 12396-12404 - [c109]Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Automatic Product Copywriting for E-commerce. AAAI 2022: 12423-12431 - [c108]Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Chunyan Miao:
CrowdFL: A Marketplace for Crowdsourced Federated Learning. AAAI 2022: 13164-13166 - [c107]Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao:
Dynamic Incentive Mechanism Design for COVID-19 Social Distancing. AAAI 2022: 13173-13175 - [c106]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong:
Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks. CAMAD 2022: 71-76 - [c105]Jingxiang Qu, Ryan Wen Liu, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Yang Zhang, Han Yu, Dusit Niyato:
Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c104]Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. DASFAA (2) 2022: 455-471 - [c103]Xu Guo, Boyang Li, Han Yu:
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation. EMNLP (Findings) 2022: 3523-3537 - [c102]Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato:
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems. GLOBECOM 2022: 160-165 - [c101]Minrui Xu, Wei Chong Ng, Dusit Niyato, Han Yu, Chunyan Miao, Dong In Kim, Xuemin Sherman Shen:
Stochastic Resource Allocation in Quantum Key Distribution for Secure Federated Learning. GLOBECOM 2022: 4377-4382 - [c100]Yuanchao Loh, Zichen Chen, Yansong Zhao, Han Yu:
FLAS: A Platform for Studying Attacks on Federated Learning. HCI (14) 2022: 160-169 - [c99]Jiehuang Zhang, Han Yu:
A Methodological Framework for Facilitating Explainable AI Design. HCI (14) 2022: 437-446 - [c98]Ruli Xu, Ryan Wen Liu, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Wenchao Jiang, Han Yu, Dusit Niyato:
AIS Data-Based Efficient Ship Trajectory Clustering. ISPA/BDCloud/SocialCom/SustainCom 2022: 581-588 - [c97]Xianshuai Cao, Yuliang Shi, Jihu Wang, Han Yu, Xinjun Wang, Zhongmin Yan:
Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation. ACM Multimedia 2022: 3694-3702 - [e4]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13087, Springer 2022, ISBN 978-3-030-95404-8 [contents] - [e3]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13088, Springer 2022, ISBN 978-3-030-95407-9 [contents] - [i54]Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin:
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection. CoRR abs/2201.00464 (2022) - [i53]Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. CoRR abs/2201.12976 (2022) - [i52]Rui Liu, Han Yu:
Federated Graph Neural Networks: Overview, Techniques and Challenges. CoRR abs/2202.07256 (2022) - [i51]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong:
Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks. CoRR abs/2208.08009 (2022) - [i50]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Xuemin Sherman Shen:
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning. CoRR abs/2208.11270 (2022) - [i49]Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, Han Yu, Jiawen Kang, Xuemin Sherman Shen:
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication. CoRR abs/2209.11957 (2022) - [i48]Napat Ngoenriang, Minrui Xu, Sucha Supittayapornpong, Dusit Niyato, Han Yu, Xuemin Shen:
Optimal Stochastic Resource Allocation for Distributed Quantum Computing. CoRR abs/2210.02886 (2022) - [i47]Napat Ngoenriang, Minrui Xu, Jiawen Kang, Dusit Niyato, Han Yu, Xuemin Shen:
DQC2O: Distributed Quantum Computing for Collaborative Optimization in Future Networks. CoRR abs/2210.02887 (2022) - [i46]Xu Guo, Boyang Li, Han Yu:
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation. CoRR abs/2210.02952 (2022) - [i45]Xiaoli Tang, Han Yu:
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning. CoRR abs/2210.07770 (2022) - [i44]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Jiawen Kang:
Stochastic Qubit Resource Allocation for Quantum Cloud Computing. CoRR abs/2210.12343 (2022) - [i43]Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato:
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems. CoRR abs/2211.00481 (2022) - [i42]Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie:
FIXED: Frustratingly Easy Domain Generalization with Mixup. CoRR abs/2211.05228 (2022) - [i41]Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu:
Towards AI-Empowered Crowdsourcing. CoRR abs/2212.14676 (2022) - 2021
- [j33]Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
Federated Learning-Powered Visual Object Detection for Safety Monitoring. AI Mag. 42(2): 19-27 (2021) - [j32]Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
Optimizing Smart Grid Operations from the Demand Side. AI Mag. 42(2): 28-37 (2021) - [j31]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Jingren Zhou, Chunyan Miao:
Improving Search Engine Efficiency through Contextual Factor Selection. AI Mag. 42(2): 50-58 (2021) - [j30]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j29]Yuan Liu, Xin Zhou, Han Yu:
3R model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce. Knowl. Based Syst. 231: 107441 (2021) - [j28]Xiaojing Yin, Jiwei Huang, Wei He, Wei Guo, Han Yu, Lizhen Cui:
Group task allocation approach for heterogeneous software crowdsourcing tasks. Peer-to-Peer Netw. Appl. 14(3): 1736-1747 (2021) - [c96]Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. AAAI 2021: 7081-7089 - [c95]Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao:
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. AAAI 2021: 15214-15222 - [c94]Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao:
AI-Empowered Decision Support for COVID-19 Social Distancing. AAAI 2021: 16044-16047 - [c93]Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song:
Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising. CIKM 2021: 2291-2300 - [c92]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection. CVPR 2021: 6811-6820 - [c91]Jiehuang Zhang, Ying Shu, Han Yu:
Human-Machine Interaction for Autonomous Vehicles: A Review. HCI (13) 2021: 190-201 - [c90]Ying Shu, Jiehuang Zhang, Han Yu:
Fairness in Design: A Tool for Guidance in Ethical Artificial Intelligence Design. HCI (13) 2021: 500-510 - [c89]Chang Liu, Han Yu, Zhiqi Shen, Ian Dixon, Yingxue Yu, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos. ICME 2021: 1-6 - [c88]Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao:
Predictive Analytics for COVID-19 Social Distancing. IJCAI 2021: 5016-5019 - [c87]Han Yu, Dusit Niyato, Cyril Leung, Dong In Kim:
Opportunistic Coded Distributed Computing: An Evolutionary Game Approach. IWCMC 2021: 1430-1435 - [c86]Xu Guo, Boyang Li, Han Yu, Chunyan Miao:
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. NAACL-HLT 2021: 5394-5407 - [c85]Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan, Zhiyong Chen:
DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. SIGIR 2021: 203-212 - [i40]Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. CoRR abs/2102.02515 (2021) - [i39]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. CoRR abs/2103.00710 (2021) - [i38]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection. CoRR abs/2103.16047 (2021) - [i37]Xu Guo, Boyang Li, Han Yu, Chunyan Miao:
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. CoRR abs/2104.09261 (2021) - [i36]Xiaohu Wu, Han Yu, Giuliano Casale, Guanyu Gao:
Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning. CoRR abs/2106.01847 (2021) - [i35]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering. CoRR abs/2108.01431 (2021) - [i34]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. CoRR abs/2109.02053 (2021) - [i33]Yuan-Ai Xie, Jiawen Kang, Dusit Niyato, Nguyen Thi Thanh Van, Nguyen Cong Luong, Zhixin Liu, Han Yu:
Securing Federated Learning: A Covert Communication-based Approach. CoRR abs/2110.02221 (2021) - [i32]Xiaohu Wu, Han Yu:
MarS-FL: A Market Share-based Decision Support Framework for Participation in Federated Learning. CoRR abs/2110.13464 (2021) - [i31]Yuxin Shi, Han Yu, Cyril Leung:
A Survey of Fairness-Aware Federated Learning. CoRR abs/2111.01872 (2021) - [i30]Chang Liu, Han Yu:
AI-Empowered Persuasive Video Generation: A Survey. CoRR abs/2112.09401 (2021) - [i29]Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent Online Selling Point Extraction for E-Commerce Recommendation. CoRR abs/2112.10613 (2021) - [i28]Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Automatic Product Copywriting for E-Commerce. CoRR abs/2112.11915 (2021) - 2020
- [j27]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang:
Addressing the Challenges of Government Service Provision with AI. AI Mag. 41(1): 33-43 (2020) - [j26]Yang Liu, Han Yu, Qiang Yang:
Introduction to the Special Issue on Federated Machine Learning. IEEE Intell. Syst. 35(4): 3-4 (2020) - [j25]Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Sustainable Incentive Scheme for Federated Learning. IEEE Intell. Syst. 35(4): 58-69 (2020) - [j24]Siwei Feng, Han Yu, Marco F. Duarte:
Autoencoder based sample selection for self-taught learning. Knowl. Based Syst. 192: 105343 (2020) - [j23]Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu:
Multi-component transfer metric learning for handling unrelated source domain samples. Knowl. Based Syst. 203: 106132 (2020) - [j22]Liang Zou, Xinhui Yu, Ming Li, Meng Lei, Han Yu:
Nondestructive Identification of Coal and Gangue via Near-Infrared Spectroscopy Based on Improved Broad Learning. IEEE Trans. Instrum. Meas. 69(10): 8043-8052 (2020) - [j21]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. ACM Trans. Intell. Syst. Technol. 11(1): 6:1-6:25 (2020) - [j20]Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng:
Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. 31(11): 2524-2541 (2020) - [c84]Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. AAAI 2020: 13172-13179 - [c83]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao:
Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. AAAI 2020: 13212-13219 - [c82]Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
PIDS: An Intelligent Electric Power Management Platform. AAAI 2020: 13220-13227 - [c81]Zichao Deng, Anqi Tu, Zelei Liu, Han Yu:
Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract). AAAI 2020: 13775-13776 - [c80]Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract). AAAI 2020: 13865-13866 - [c79]Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Fairness-aware Incentive Scheme for Federated Learning. AIES 2020: 393-399 - [c78]Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li:
CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. BIBM 2020: 469-472 - [c77]Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
An AI-empowered Visual Storyline Generator. IJCAI 2020: 5267-5269 - [c76]Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang:
A Multi-player Game for Studying Federated Learning Incentive Schemes. IJCAI 2020: 5279-5281 - [c75]Harrison Jun Yong Wong, Zichao Deng, Han Yu, Jianqiang Huang, Cyril Leung, Chunyan Miao:
A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems. IJCAI 2020: 5294-5296 - [p6]Lingjuan Lyu, Han Yu, Jun Zhao, Qiang Yang:
Threats to Federated Learning. Federated Learning 2020: 3-16 - [p5]Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Piu Chan, Zhiqi Shen:
Dealing with Label Quality Disparity in Federated Learning. Federated Learning 2020: 108-121 - [p4]Yuan Liu, Zhengpeng Ai, Shuai Sun, Shuangfeng Zhang, Zelei Liu, Han Yu:
FedCoin: A Peer-to-Peer Payment System for Federated Learning. Federated Learning 2020: 125-138 - [p3]Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang:
A Gamified Research Tool for Incentive Mechanism Design in Federated Learning. Federated Learning 2020: 168-175 - [p2]Lingjuan Lyu, Xinyi Xu, Qian Wang, Han Yu:
Collaborative Fairness in Federated Learning. Federated Learning 2020: 189-204 - [p1]Mingshu Cong, Han Yu, Xi Weng, Siu-Ming Yiu:
A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning. Federated Learning 2020: 205-222 - [e2]Qiang Yang, Lixin Fan, Han Yu:
Federated Learning - Privacy and Incentive. Lecture Notes in Computer Science 12500, Springer 2020, ISBN 978-3-030-63075-1 [contents] - [i27]Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. CoRR abs/2001.06202 (2020) - [i26]Siwei Feng, Han Yu:
Multi-Participant Multi-Class Vertical Federated Learning. CoRR abs/2001.11154 (2020) - [i25]Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Biao Chen, Zhiqi Shen:
FOCUS: Dealing with Label Quality Disparity in Federated Learning. CoRR abs/2001.11359 (2020) - [i24]Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu:
FedCoin: A Peer-to-Peer Payment System for Federated Learning. CoRR abs/2002.11711 (2020) - [i23]Lingjuan Lyu, Han Yu, Qiang Yang:
Threats to Federated Learning: A Survey. CoRR abs/2003.02133 (2020) - [i22]Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin:
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention. CoRR abs/2006.10517 (2020) - [i21]Mingshu Cong, Xi Weng, Han Yu, Jiabao Qu, Siu-Ming Yiu:
Optimal Procurement Auction for Cooperative Production of Virtual Products: Vickrey-Clarke-Groves Meet Cremer-McLean. CoRR abs/2007.14780 (2020) - [i20]Guanlin Li, Chang Liu, Han Yu, Yanhong Fan, Libang Zhang, Zongyue Wang, Meiqin Wang:
SCNet: A Neural Network for Automated Side-Channel Attack. CoRR abs/2008.00476 (2020) - [i19]Mingshu Cong, Han Yu, Xi Weng, Jiabao Qu, Yang Liu, Siu-Ming Yiu:
A VCG-based Fair Incentive Mechanism for Federated Learning. CoRR abs/2008.06680 (2020) - [i18]Leye Wang, Han Yu, Xiao Han:
Federated Crowdsensing: Framework and Challenges. CoRR abs/2011.03208 (2020) - [i17]Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. CoRR abs/2012.06337 (2020)
2010 – 2019
- 2019
- [b2]Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu:
Federated Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00457-5 - [j19]Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song:
Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence. IEEE Access 7: 10362-10373 (2019) - [j18]Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song:
A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms. IEEE Access 7: 68692-68706 (2019) - [j17]Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu:
Cross-position activity recognition with stratified transfer learning. Pervasive Mob. Comput. 57: 1-13 (2019) - [j16]Wei Wang, Vincent W. Zheng, Han Yu, Chunyan Miao:
A Survey of Zero-Shot Learning: Settings, Methods, and Applications. ACM Trans. Intell. Syst. Technol. 10(2): 13:1-13:37 (2019) - [j15]Chunyu Hu, Yiqiang Chen, Xiaohui Peng, Han Yu, Chenlong Gao, Lisha Hu:
A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition. IEEE Trans. Knowl. Data Eng. 31(6): 1038-1050 (2019) - [c74]Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. AAAI 2019: 9983-9984 - [c73]Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung:
Ethically Aligned Opportunistic Scheduling for Productive Laziness. AIES 2019: 45-51 - [c72]Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim:
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach. APWCS 2019: 1-5 - [c71]Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. AAMAS 2019: 2099-2101 - [c70]Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng, Victor R. Lesser:
Ethically Aligned Multi-agent Coordination to Enhance Social Welfare. AAMAS 2019: 2300-2302 - [c69]Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang:
Privacy-preserving Heterogeneous Federated Transfer Learning. IEEE BigData 2019: 2552-2559 - [c68]Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Persuasive Visual Storylines for Promotional Videos. CIKM 2019: 901-910 - [c67]Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. CIKM 2019: 1311-1320 - [c66]Jie Wei Kong, Yonghui Xu, Han Yu:
Deep Transfer Learning For Abnormality Detection. ICCSE 2019: 233-237 - [c65]Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-Domain Structures. ICME 2019: 1210-1215 - [c64]Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen:
Agent-based Decision Support for Pain Management in Primary Care Settings. IJCAI 2019: 6521-6523 - [c63]Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang:
Multi-Agent Visualization for Explaining Federated Learning. IJCAI 2019: 6572-6574 - [c62]Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng:
Fair and Explainable Dynamic Engagement of Crowd Workers. IJCAI 2019: 6575-6577 - [c61]Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao:
An Online Intelligent Visual Interaction System. IJCAI 2019: 6578-6580 - [c60]Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao:
Intelligent Decision Support for Improving Power Management. IJCAI 2019: 6587-6589 - [c59]Yi Dong, Chang Liu, Zhiqi Shen, Han Yu, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie:
Personalized Video Summarization with Idiom Adaptation. ACM Multimedia 2019: 1041-1043 - [c58]Yi Dong, Chang Liu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Han Yu, Qingming Huang:
Domain Specific and Idiom Adaptive Video Summarization. MMAsia 2019: 49:1-49:6 - [e1]Huáscar Espinoza, Han Yu, Xiaowei Huang, Freddy Lécué, Cynthia Chen, José Hernández-Orallo, Seán Ó hÉigeartaigh, Richard Mallah:
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, AISafety@IJCAI 2019, Macao, China, August 11-12, 2019. CEUR Workshop Proceedings 2419, CEUR-WS.org 2019 [contents] - [i16]Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung:
Ethically Aligned Opportunistic Scheduling for Productive Laziness. CoRR abs/1901.00298 (2019) - [i15]Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-domain Structures. CoRR abs/1904.01376 (2019) - [i14]Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim:
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach. CoRR abs/1905.07479 (2019) - [i13]Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. CoRR abs/1906.01562 (2019) - [i12]Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Persuasive Visual Storylines for Promotional Videos. CoRR abs/1908.11588 (2019) - [i11]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. CoRR abs/1909.08531 (2019) - [i10]Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu:
Reviewing and Improving the Gaussian Mechanism for Differential Privacy. CoRR abs/1911.12060 (2019) - [i9]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - 2018
- [j14]Jun Lin, Han Yu, Zhengxiang Pan, Zhiqi Shen, Lizhen Cui:
Towards data-driven software engineering skills assessment. Int. J. Crowd Sci. 2(2): 123-135 (2018) - [j13]Zhiqi Shen, Han Yu, Ling Yu, Chunyan Miao, Yiqiang Chen, Victor R. Lesser:
Dynamic Generation of Internet of Things Organizational Structures Through Evolutionary Computing. IEEE Internet Things J. 5(2): 943-954 (2018) - [j12]Yiqiang Chen, Chunyu Hu, Bin Hu, Lisha Hu, Han Yu, Chunyan Miao:
Inferring Cognitive Wellness from Motor Patterns. IEEE Trans. Knowl. Data Eng. 30(12): 2340-2353 (2018) - [c57]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang:
SmartHS: An AI Platform for Improving Government Service Provision. AAAI 2018: 7704-7712 - [c56]Yi Dong, Han Hu, Yonggang Wen, Han Yu, Chunyan Miao:
Personalized Emotion-Aware Video Streaming for the Elderly. HCI (14) 2018: 372-382 - [c55]Han Yu, Chunyan Miao, Lizhen Cui, Yiqiang Chen, Simon Fauvel, Qiang Yang:
Opportunistic Work-Rest Scheduling for Productive Aging. HCI (14) 2018: 413-428 - [c54]Simon Fauvel, Han Yu, Chunyan Miao, Lizhen Cui, Hengjie Song, Liang Zhang, Xiaoming Li, Cyril Leung:
Artificial Intelligence Powered MOOCs: A Brief Survey. ICA 2018: 56-61 - [c53]Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang:
Building Ethics into Artificial Intelligence. IJCAI 2018: 5527-5533 - [c52]Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu:
Visual Domain Adaptation with Manifold Embedded Distribution Alignment. ACM Multimedia 2018: 402-410 - [i8]Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu:
Cross-position Activity Recognition with Stratified Transfer Learning. CoRR abs/1806.09776 (2018) - [i7]Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu:
Visual Domain Adaptation with Manifold Embedded Distribution Alignment. CoRR abs/1807.07258 (2018) - [i6]Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang:
Building Ethics into Artificial Intelligence. CoRR abs/1812.02953 (2018) - 2017
- [j11]Jian-Ping Mei, Han Yu, Zhiqi Shen, Chunyan Miao:
A social influence based trust model for recommender systems. Intell. Data Anal. 21(2): 263-277 (2017) - [j10]Lizhen Cui, Xudong Zhao, Lei Liu, Han Yu, Yuan Miao:
Complex crowdsourcing task allocation strategies employing supervised and reinforcement learning. Int. J. Crowd Sci. 1(2): 146-160 (2017) - [c51]Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung:
Crowdsensing Air Quality with Camera-Enabled Mobile Devices. AAAI 2017: 4728-4733 - [c50]Hao Zhang, Chunyan Miao, Han Yu, Cyril Leung:
A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly. AAAI 2017: 5021-5022 - [c49]Hao Zhang, Chunyan Miao, Han Yu:
Fuzzy logic based assessment on the adaptive level of rehabilitation exergames for the elderly. GlobalSIP 2017: 423-427 - [c48]Han Yu, Zhiqi Shen, Simon Fauvel, Lizhen Cui:
Efficient scheduling in crowdsourcing based on workers' mood. ICA 2017: 121-126 - [c47]Wei Wang, Han Yu, Chunyan Miao:
Deep Model for Dropout Prediction in MOOCs. ICCSE 2017: 26-32 - [c46]Lizhen Cui, Xudong Zhao, Lei Liu, Han Yu, Yuan Miao:
Learning Complex Crowdsourcing Task Allocation Strategies from Humans. ICCSE 2017: 33-37 - [c45]Xinping Min, Yuliang Shi, Lizhen Cui, Han Yu, Yuan Miao:
Efficient Crowd-Powered Active Learning for Reliable Review Evaluation. ICCSE 2017: 136-143 - 2016
- [j9]Chunyan Miao, Han Yu, Zhiqi Shen, Cyril Leung:
Balancing quality and budget considerations in mobile crowdsourcing. Decis. Support Syst. 90: 56-64 (2016) - [j8]Yuliang Shi, Kaihui Zhang, Lizhen Cui, Lei Liu, Yongqing Zheng, Shidong Zhang, Han Yu:
MapReduce short jobs optimization based on resource reuse. Microprocess. Microsystems 47: 178-187 (2016) - [j7]Wenbin Zhang, Yuliang Shi, Lei Liu, Shidong Zhang, Yongqing Zheng, Lizhen Cui, Han Yu:
CTP: A scheduling strategy to smooth response time fluctuations in multi-tier website system. Microprocess. Microsystems 47: 198-208 (2016) - [c44]Han Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang:
Infusing Human Factors into Algorithmic Crowdsourcing. AAAI 2016: 4062-4064 - [c43]Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung:
Efficient Collaborative Crowdsourcing. AAAI 2016: 4248-4249 - [c42]Zhiqi Shen, Han Yu, Chunyan Miao, Siyao Li, Yiqiang Chen:
Multi-Agent System Development MADE Easy. AAAI 2016: 4391-4392 - [c41]Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao:
A Fraud Resilient Medical Insurance Claim System. AAAI 2016: 4393-4394 - [c40]Han Yu, Chunyan Miao, Siyuan Liu, Zhengxiang Pan, Nur Syahidah Bte Khalid, Zhiqi Shen, Cyril Leung:
Productive Aging through Intelligent Personalized Crowdsourcing. AAAI 2016: 4405- - [c39]Chenfei Sun, Yuliang Shi, Qingzhong Li, Li-zhen Cui, Han Yu, Chunyan Miao:
A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims: (Extended Abstract). AAMAS 2016: 1287-1288 - [c38]Siyuan Liu, Zhiqi Shen, Han Yu, Han Lin, Zhengjin Guo, Zhengxiang Pan, Chunyan Miao, Cyril Leung:
A Kinect-based Interactive Game to Improve the Cognitive Inhibition of the Elderly: (Demonstration). AAMAS 2016: 1479-1481 - [c37]Han Lin, Han Yu, Chunyan Miao, Lin Qiu:
Towards Emotionally Intelligent Machines: Taking Social Contexts into Account. HCI (12) 2016: 12-24 - [i5]Simon Fauvel, Han Yu:
A Survey on Artificial Intelligence and Data Mining for MOOCs. CoRR abs/1601.06862 (2016) - 2015
- [c36]Siyuan Liu, Chunyan Miao, Yuan Liu, Hui Fang, Han Yu, Jie Zhang, Yueting Chai, Cyril Leung:
A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings. ICEC 2015: 7:1-7:8 - [c35]Han Yu, Chunyan Miao, Zhiqi Shen, Cyril Leung, Yiqiang Chen, Qiang Yang:
Efficient Task Sub-Delegation for Crowdsourcing. AAAI 2015: 1305-1312 - [c34]Han Yu, Han Lin, Su Fang Lim, Jun Lin, Zhiqi Shen, Chunyan Miao:
Empirical Analysis of Reputation-aware Task Delegation by Humans from a Multi-agent Game. AAMAS 2015: 1687-1688 - [c33]Han Yu, Chunyan Miao, Zhiqi Shen, Cyril Leung:
Quality and Budget Aware Task Allocation for Spatial Crowdsourcing. AAMAS 2015: 1689-1690 - [c32]Jun Lin, Han Yu, Chunyan Miao, Zhiqi Shen:
An Affective Agent for Studying Composite Emotions. AAMAS 2015: 1947-1948 - [c31]Boyang Li, Han Yu, Zhiqi Shen, Lizhen Cui, Victor R. Lesser:
An Evolutionary Framework for Multi-agent Organizations. WI-IAT (2) 2015: 35-38 - [c30]Siyuan Liu, Chunyan Miao, Yuan Liu, Han Yu, Jie Zhang, Cyril Leung:
An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks. WI-IAT (2) 2015: 96-103 - [c29]Han Lin, Jinghua Hou, Han Yu, Zhiqi Shen, Chunyan Miao:
An Agent-Based Game Platform for Exercising People's Prospective Memory. WI-IAT (3) 2015: 235-236 - [c28]Zhengxiang Pan, Chunyan Miao, Benny Toh Hsiang Tan, Han Yu, Cyril Leung:
Agent Augmented Inter-Generational Crowdsourcing. WI-IAT (3) 2015: 237-238 - [c27]Zhengxiang Pan, Chunyan Miao, Han Yu, Cyril Leung, Jing Jih Chin:
The Effects of Familiarity Design on the Adoption of Wellness Games by the Elderly. WI-IAT (2) 2015: 387-390 - 2014
- [b1]Han Yu:
Situation-aware trust management in multi-agent systems. Nanyang Technological University, Singapore, 2014 - [j6]Han Yu, Zhiqi Shen, Chunyan Miao, Bo An, Cyril Leung:
Filtering trust opinions through reinforcement learning. Decis. Support Syst. 66: 102-113 (2014) - [c26]Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao:
RepRev: Mitigating the Negative Effects of Misreported Ratings. AAAI 2014: 3124-3125 - [c25]Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao:
Reputation-Aware Continuous Double Auction. AAAI 2014: 3126-3127 - [c24]Han Yu, Chunyan Miao, Bo An, Zhiqi Shen, Cyril Leung:
Reputation-aware task allocation for human trustees. AAMAS 2014: 357-364 - [c23]Han Yu, Xinjia Yu, Su Fang Lim, Jun Lin, Zhiqi Shen, Chunyan Miao:
A multi-agent game for studying human decision-making. AAMAS 2014: 1661-1662 - [c22]Yundong Cai, Zhiqi Shen, Siyuan Liu, Han Yu, Xiaogang Han, Jun Ji, Martin J. McKeown, Cyril Leung, Chunyan Miao:
An agent-based game for the predictive diagnosis of parkinson's disease. AAMAS 2014: 1663-1664 - [c21]Jun Lin, Han Yu, Zhiqi Shen, Chunyan Miao:
Studying task allocation decisions of novice agile teams with data from agile project management tools. ASE 2014: 689-694 - [c20]Jian-Ping Mei, Han Yu, Yong Liu, Zhiqi Shen, Chunyan Miao:
A Social Trust Model Considering Trustees' Influence. PRIMA 2014: 357-364 - [c19]Jun Lin, Han Yu, Zhiqi Shen, Chunyan Miao:
Using goal net to model user stories in agile software development. SNPD 2014: 1-6 - [i4]Jun Lin, Han Yu, Zhiqi Shen:
Identifying Talented Software Engineering Students through Data-driven Skill Assessment. CoRR abs/1411.6197 (2014) - [i3]Jun Lin, Han Yu, Zhiqi Shen:
An Empirical Analysis of Task Allocation in Scrum-based Agile Programming. CoRR abs/1411.6201 (2014) - [i2]Zhiqi Shen, Ling Yu, Han Yu:
An Evolutionary Approach for Optimizing Hierarchical Multi-Agent System Organization. CoRR abs/1411.6202 (2014) - [i1]Han Yu, Zhiqi Shen, Qiong Wu, Chunyan Miao:
Designing Socially Intelligent Virtual Companions. CoRR abs/1411.7090 (2014) - 2013
- [j5]Han Yu, Zhiqi Shen, Cyril Leung, Chunyan Miao, Victor R. Lesser:
A Survey of Multi-Agent Trust Management Systems. IEEE Access 1: 35-50 (2013) - [c18]Han Yu, Zhiqi Shen, Cyril Leung:
Bringing reputation-awareness into crowdsourcing. ICICS 2013: 1-5 - [c17]Siyuan Liu, Han Yu, Chunyan Miao, Alex C. Kot:
A fuzzy logic based reputation model against unfair ratings. AAMAS 2013: 821-828 - [c16]Qiong Wu, Xiaogang Han, Han Yu, Zhiqi Shen, Chunyan Miao:
The innovative application of learning companions in virtual singapura. AAMAS 2013: 1171-1172 - [c15]Han Yu, Zhiqi Shen, Chunyan Miao, Bo An:
A reputation-aware decision-making approach for improving the efficiency of crowdsourcing systems. AAMAS 2013: 1315-1316 - [c14]Han Yu, Zhiqi Shen, Cyril Leung:
From Internet of Things to Internet of Agents. GreenCom/iThings/CPScom 2013: 1054-1057 - [c13]Han Yu, Chunyan Miao, Bo An, Cyril Leung, Victor R. Lesser:
A Reputation Management Approach for Resource Constrained Trustee Agents. IJCAI 2013: 418-424 - 2012
- [c12]Han Yu, Zhiqi Shen, Chunyan Miao, Bo An:
Challenges and Opportunities for Trust Management in Crowdsourcing. IAT 2012: 486-493 - [c11]Han Yu, Zhiqi Shen, Bo An:
An Adaptive Witness Selection Method for Reputation-Based Trust Models. PRIMA 2012: 184-198 - 2011
- [j4]Zhiqi Shen, Han Yu, Chunyan Miao, Jianshu Weng:
Trust-based web service selection in virtual communities. Web Intell. Agent Syst. 9(3): 227-238 (2011) - [c10]Han Yu, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan:
A simple curious agent to help people be curious. AAMAS 2011: 1159-1160 - [c9]Jun Lin, Chunyan Miao, Han Yu:
A Cloud and Agent Based Architecture Design for an Educational Mobile SNS Game. Edutainment 2011: 212-219 - 2010
- [j3]Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Dusit Niyato:
A Survey of Trust and Reputation Management Systems in Wireless Communications. Proc. IEEE 98(10): 1755-1772 (2010) - [c8]Zhiqi Shen, Chunyan Miao, Liang Zhang, Han Yu, Mark J. Chavez:
An emotion aware agent platform for interactive storytelling and gaming. Future Play 2010: 257-258 - [c7]Han Yu, Yundong Cai, Zhiqi Shen, Xuehong Tao, Chunyan Miao:
Agents as intelligent user interfaces for the net generation. IUI 2010: 429-430
2000 – 2009
- 2009
- [j2]Tao Qin, Han Yu, Cyril Leung, Zhiqi Shen, Chunyan Miao:
Towards a trust aware cognitive radio architecture. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13(2): 86-95 (2009) - [c6]Boyang Li, Han Yu, Zhiqi Shen, Chunyan Miao:
Evolutionary organizational search. AAMAS (2) 2009: 1329-1330 - 2008
- [j1]Han Yu, Zhiqi Shen, Chunyan Miao:
A goal-oriented development tool to automate the incorporation of intelligent agents into interactive digital media applications. Comput. Entertain. 6(2): 24:1-24:15 (2008) - [c5]Han Yu, Zhiqi Shen, ChorPing Low, Chunyan Miao:
Transforming Learning through Agent Augmented Virtual World. ICALT 2008: 933-937 - 2007
- [c4]Han Yu, Zhiqi Shen, Chunyan Miao, Jing Wen, Qizhen Yang:
A service based multi-agent system design tool for modelling integrated manufacturing and service systems. ETFA 2007: 149-154 - [c3]Han Yu, Zhiqi Shen, Chunyan Miao:
Intelligent Software Agent Design Tool Using Goal Net Methodology. IAT 2007: 43-46 - [c2]Yin Leng Theng, Kuah-Li Tan, Ee-Peng Lim, Jun Zhang, Dion Hoe-Lian Goh, Kalyani Chatterjea, Chew-Hung Chang, Aixin Sun, Han Yu, Nam Hai Dang, Yuanyuan Li, Minh Chanh Vo:
Mobile G-Portal supporting collaborative sharing and learning in geography fieldwork: an empirical study. JCDL 2007: 462-471 - 2006
- [c1]Han Yu, Ling Ding, Xin Lu, Boya Xie:
A virtual agent based mobile 3D game with mascot capsule Micro3D API. Mobility Conference 2006: 36
Coauthor Index
Li-zhen Cui
aka: Lizhen Cui
aka: Lizhen Cui
[j34] [c111] [c108] [c107] [c101] [j32] [j31] [c96] [c95] [c94] [c92] [c89] [c88] [c86] [i40] [i38] [i37] [i35] [j27] [c83] [c82] [c80] [c77] [c75] [j16] [c73] [c68] [c64] [c61] [c60] [i16] [i12] [j13] [j12] [c57] [c56] [c55] [c54] [c53] [i6] [j11] [c51] [c50] [c49] [c47] [j9] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [j6] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i1] [j5] [c17] [c16] [c15] [c13] [c12] [j4] [c10] [c9] [j3] [c8] [c7] [j2] [c6] [j1] [c5] [c4] [c3]
[c155] [c153] [c145] [i90] [c125] [c122] [i64] [i41] [c92] [c89] [i38] [i35] [c80] [c77] [p5] [i25] [c70] [c68] [c59] [c58] [i12] [j14] [j13] [c53] [i6] [j11] [c48] [j9] [c44] [c42] [c40] [c38] [c35] [c34] [c33] [c32] [c31] [c29] [j6] [c24] [c23] [c22] [c21] [c20] [c19] [i4] [i3] [i2] [i1] [j5] [c18] [c16] [c15] [c14] [c12] [c11] [j4] [c10] [j3] [c8] [c7] [j2] [c6] [j1] [c5] [c4] [c3]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
