Kaixin Wang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 56

Top Topics

Decision Process

Reinforcement Learning

Test Generation

Top Venues

Publications

Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor
Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR (2024)
Kaixin Wang, Kaiqiang Yu, Cheng Long
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. Proc. ACM Manag. Data 2 (1) (2024)
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 (2024)
Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
Improving Token-Based World Models with Parallel Observation Prediction. CoRR (2024)
Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor
Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR (2024)
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)
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 (2024)
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) (2024)
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 (2024)
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)
Kaixin Wang, Jiandi Feng, Zhenzhen Zhao, Baomin Han
Analysis of Winter Anomaly and Annual Anomaly Based on Regression Approach. Remote. Sens. 15 (20) (2023)
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 (2023)
Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML (2023)
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML (2023)
Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR (2023)
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 (2023)
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) (2023)
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)
Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor
Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR (2023)
Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. ICLR (2023)
Zhenxiong Tan, Kaixin Wang, Xinchao Wang
C-Procgen: Empowering Procgen with Controllable Contexts. CoRR (2023)
Kaixin Wang, Kaiqiang Yu, Cheng Long
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. CoRR (2023)
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
The Geometry of Robust Value Functions. CoRR (2022)
Renfang Wen, Jian Chen, Linhuang Wu, Kaixin Wang
A Robust Blind Deblurring Method for Natural Blurry Images. ICIT (2022)
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
The Geometry of Robust Value Functions. ICML (2022)
Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR (2022)
Kaixin Wang, Linhuang Wu, Shihao Zhang, Renfang Wen
Night Vision Enhancement for License Plate Recognition based on Deep Learning. ICIT (2022)
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR (2022)
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 (2022)
Hui Hong, Mingsen He, Kaixin Wang, Linhuang Wu
An Image Denoising Method for Real Scene Based on Pixel-Level Noise Estimation. CSSE (2022)
Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor
Policy Gradient for Reinforcement Learning with General Utilities. CoRR (2022)
Shuai Li, Kaixin Wang, Yanbo Gao, Xun Cai, Mao Ye
Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis. ACM Multimedia (2022)
Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR (2022)
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)
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 (2022)
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)
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)
Kaixin Wang, Xiujuan Xu, Yu Liu, Zhehuan Zhao
A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification. CCIR (2021)
Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu
Adaptive Holding for Online Bottleneck Matching with Delays. SDM (2021)
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) (2021)
Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR (2021)
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)
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)
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
Improving Generalization in Reinforcement Learning with Mixture Regularization. NeurIPS (2020)
Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng
Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR (2020)
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
Improving Generalization in Reinforcement Learning with Mixture Regularization. CoRR (2020)
Yanyun Tao, Guoqi Yue, Kaixin Wang, Yuzhen Zhang, Bin Jiang
A cascaded step-temporal attention network for ECG arrhythmia classification. IJCNN (2020)
Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng
Deep Model Compression via Filter Auto-sampling. CoRR (2019)
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR (2019)
Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV (2019)
Yanyun Tao, Kaixin Wang, Yuzhen Zhang
Evolutionary synthetic minority oversampling technique with random forest for warfarin dose prediction in Chinese patients. CEC (2019)
Yu Liang, Wenjun Wu, Kaixin Wang, Chunming Hu
Online Multi-Skilled Task Assignment on Road Networks. IEEE Access 7 (2019)
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 (2018)
Bailing Wang, Hongri Liu, Kaixin Wang, Guodong Xin, Jia Song
: User Identification Model Based on Mouse Behaviors. Int. J. Softw. Eng. Knowl. Eng. 28 (2) (2018)
Jiaqi Yan, Yi Liu, Yani Shi, Kaixin Wang
Lending Motivation Meets Home and Cultural Bias: A Study on Kiva. ICIS (2017)
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 (2016)
Hong Wang, Kaixin Wang
N) alternating-direction finite difference method for two-dimensional fractional diffusion equations. J. Comput. Phys. 230 (21) (2011)
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) (2010)
Hong Wang, Kaixin Wang, Treena Sircar
N) finite difference method for fractional diffusion equations. J. Comput. Phys. 229 (21) (2010)
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) (2010)
Hong Wang, Kaixin Wang
Uniform Estimates for Eulerian-Lagrangian Methods for Singularly Perturbed Time-Dependent Problems. SIAM J. Numer. Anal. 45 (3) (2007)
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) (2007)