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ORCIDKaixin Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j17]Kaixin Wang, Shengben Zhang, Zhiyuan Wei, Xinle Fang, Feng Liu, Min Han, Mi Du:
Deep learning-based efficient diagnosis of periapical diseases with dental X-rays. Image Vis. Comput. 147: 105061 (2024)- [j16]Kaixin Wang
, Kaiqiang Yu, Cheng Long:
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. Proc. ACM Manag. Data 2(1): 7:1-7:26 (2024) - [j15]Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, Yiling Lou:
Evaluating and Improving ChatGPT for Unit Test Generation. Proc. ACM Softw. Eng. 1(FSE): 1703-1726 (2024) - [j14]Jiabao Niu, Jike Chen, Yufu Zang, Kaixin Wang, Decheng Ni, Zhigang Xu, Peibin Wang:
Deciphering the Roles of 2-D and 3-D Urban Landscape Metrics in Diurnal Surface Thermal Environment Along Urban Gradients. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16449-16466 (2024) - [c29]Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor:
Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR 2024 - [c28]Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR 2024 - [c27]Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor:
Improving Token-Based World Models with Parallel Observation Prediction. ICML 2024 - [c26]Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor:
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel. ICML 2024 - [c25]Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor:
Efficient Value Iteration for s-rectangular Robust Markov Decision Processes. ICML 2024 - [c24]Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou:
Evaluating Large Language Models in Class-Level Code Generation. ICSE 2024: 81:1-81:13 - [c23]Hongpu Liu, Jingfei Jiang, Kaixin Wang, Lingshu Kong, Jingshu Wang:
Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. KSEM (1) 2024: 228-239 - [i21]Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor:
Improving Token-Based World Models with Parallel Observation Prediction. CoRR abs/2402.05643 (2024) - [i20]Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao:
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. CoRR abs/2403.16362 (2024) - [i19]Xueying Du, Geng Zheng, Kaixin Wang, Jiayi Feng, Wentai Deng, Mingwei Liu, Bihuan Chen, Xin Peng, Tao Ma, Yiling Lou:
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG. CoRR abs/2406.11147 (2024) - [i18]Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou:
Large Language Model-Based Agents for Software Engineering: A Survey. CoRR abs/2409.02977 (2024) - 2023
- [j13]Kaixin Wang, Jiandi Feng, Zhenzhen Zhao, Baomin Han:
Analysis of Winter Anomaly and Annual Anomaly Based on Regression Approach. Remote. Sens. 15(20): 4968 (2023) - [j12]Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang, Xue-Ming Yuan:
Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach. IEEE Trans. Knowl. Data Eng. 35(10): 10807-10813 (2023) - [c22]Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. ICDE 2023: 1084-1097 - [c21]Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. ICLR 2023 - [c20]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML 2023: 36670-36693 - [c19]Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor:
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML 2023: 36694-36713 - [i17]Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR abs/2301.13642 (2023) - [i16]Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng:
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation. CoRR abs/2305.04207 (2023) - [i15]Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor:
Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR abs/2306.05859 (2023) - [i14]Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou:
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation. CoRR abs/2308.01861 (2023) - [i13]Zhenxiong Tan, Kaixin Wang, Xinchao Wang:
C-Procgen: Empowering Procgen with Controllable Contexts. CoRR abs/2311.07312 (2023) - [i12]Kaixin Wang, Kaiqiang Yu, Cheng Long:
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. CoRR abs/2311.13798 (2023) - 2022
- [c18]Hui Hong, Mingsen He, Kaixin Wang, Linhuang Wu:
An Image Denoising Method for Real Scene Based on Pixel-Level Noise Estimation. CSSE 2022: 306-311 - [c17]Kaixin Wang, Linhuang Wu, Shihao Zhang, Renfang Wen:
Night Vision Enhancement for License Plate Recognition based on Deep Learning. ICIT 2022: 1-6 - [c16]Renfang Wen, Jian Chen, Linhuang Wu, Kaixin Wang:
A Robust Blind Deblurring Method for Natural Blurry Images. ICIT 2022: 1-6 - [c15]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. ICML 2022: 22727-22751 - [c14]Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang:
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG 2022: 29 - [c13]Shuai Li, Kaixin Wang, Yanbo Gao, Xun Cai, Mao Ye:
Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis. ACM Multimedia 2022: 1512-1521 - [c12]Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang:
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. NeurIPS 2022 - [i11]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i10]Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang:
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR abs/2205.11279 (2022) - [i9]Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR abs/2205.14327 (2022) - [i8]Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang:
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. CoRR abs/2209.09845 (2022) - [i7]Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. CoRR abs/2210.00991 (2022) - [i6]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR abs/2210.13153 (2022) - [i5]Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. CoRR abs/2211.06793 (2022) - 2021
- [j11]Zhitao Zhuang, Kaixin Wang:
The Cramer-Rao lower bound in a non-AWGN model for the affine phase retrieval. Int. J. Wavelets Multiresolution Inf. Process. 19(3): 2050089:1-2050089:12 (2021) - [c11]Kaixin Wang, Xiujuan Xu, Yu Liu, Zhehuan Zhao:
A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification. CCIR 2021: 100-111 - [c10]Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM 2021: 2728-2737 - [c9]Chunjiang Zhang, Kaixin Wang, Qingji Ma, Xinyu Li, Liang Gao:
A Discrete Grey Wolf Optimizer for Solving Flexible Job Shop Scheduling Problem with Lot-streaming. CSCWD 2021: 969-974 - [c8]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML 2021: 11003-11012 - [c7]Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu:
Adaptive Holding for Online Bottleneck Matching with Delays. SDM 2021: 235-243 - [i4]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR abs/2107.05545 (2021) - 2020
- [c6]Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR 2020 - [c5]Yanyun Tao, Guoqi Yue, Kaixin Wang, Yuzhen Zhang, Bin Jiang:
A cascaded step-temporal attention network for ECG arrhythmia classification. IJCNN 2020: 1-8 - [c4]Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng:
Improving Generalization in Reinforcement Learning with Mixture Regularization. NeurIPS 2020 - [i3]Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng:
Improving Generalization in Reinforcement Learning with Mixture Regularization. CoRR abs/2010.10814 (2020)
2010 – 2019
- 2019
- [j10]Yu Liang, Wenjun Wu, Kaixin Wang, Chunming Hu:
Online Multi-Skilled Task Assignment on Road Networks. IEEE Access 7: 57371-57382 (2019) - [c3]Yanyun Tao, Kaixin Wang, Yuzhen Zhang:
Evolutionary synthetic minority oversampling technique with random forest for warfarin dose prediction in Chinese patients. CEC 2019: 2514-2520 - [c2]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV 2019: 9196-9205 - [i2]Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng:
Deep Model Compression via Filter Auto-sampling. CoRR abs/1907.05642 (2019) - [i1]Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng:
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR abs/1908.06391 (2019) - 2018
- [j9]Jiaqi Yan, Kaixin Wang, Yi Liu, Kaiquan Xu, Lele Kang, Xi Chen, Hong Zhu:
Mining social lending motivations for loan project recommendations. Expert Syst. Appl. 111: 100-106 (2018) - [j8]Bailing Wang, Hongri Liu, Kaixin Wang, Guodong Xin, Jia Song:
Research Notes: User Identification Model Based on Mouse Behaviors. Int. J. Softw. Eng. Knowl. Eng. 28(2): 175-192 (2018) - 2017
- [c1]Jiaqi Yan, Yi Liu, Yani Shi, Kaixin Wang:
Lending Motivation Meets Home and Cultural Bias: A Study on Kiva. ICIS 2017 - 2016
- [j7]Jun Song, Chunling Han, Kaixin Wang, Jian Zhao, Rajiv Ranjan, Lizhe Wang:
An integrated static detection and analysis framework for android. Pervasive Mob. Comput. 32: 15-25 (2016) - 2011
- [j6]Hong Wang, Kaixin Wang:
An O(N log2N) alternating-direction finite difference method for two-dimensional fractional diffusion equations. J. Comput. Phys. 230(21): 7830-7839 (2011) - 2010
- [j5]Hong Wang, Kaixin Wang, Treena Sircar:
A direct O(N log2 N) finite difference method for fractional diffusion equations. J. Comput. Phys. 229(21): 8095-8104 (2010) - [j4]Kaixin Wang, Hong Wang:
An Optimal-Order Error Estimate to ELLAM Schemes for Transient Advection-Diffusion Equations on Unstructured Meshes. SIAM J. Numer. Anal. 48(2): 681-707 (2010) - [j3]Hong Wang, Kaixin Wang:
Uniform Estimates of an Eulerian-Lagrangian Method for Time-Dependent Convection-Diffusion Equations in Multiple Space Dimensions. SIAM J. Numer. Anal. 48(4): 1444-1473 (2010)
2000 – 2009
- 2007
- [j2]Mohamed Al-Lawatia, Kaixin Wang, Aleksey S. Telyakovskiy, Hong Wang:
A characteristic method for porous medium flow. Int. J. Comput. Sci. Math. 1(2/3/4): 467-479 (2007) - [j1]Hong Wang, Kaixin Wang:
Uniform Estimates for Eulerian-Lagrangian Methods for Singularly Perturbed Time-Dependent Problems. SIAM J. Numer. Anal. 45(3): 1305-1329 (2007)
Coauthor Index
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