Kaixin Wang

According to our database, Kaixin Wang authored at least 61 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Lightweight multi-scale attention group fusion structure for nuclei segmentation.

Xingpeng Zhang, Jing Xu, Dong He, Kaixin Wang, Liping Wang

J. Supercomput., January, 2025

2024

Efficient k-Clique Listing: An Edge-Oriented Branching Strategy.

Kaixin Wang, Kaiqiang Yu, Cheng Long

Proc. ACM Manag. Data, February, 2024

Deciphering the Roles of 2-D and 3-D Urban Landscape Metrics in Diurnal Surface Thermal Environment Along Urban Gradients.

Jiabao Niu, Jike Chen, Yufu Zang, Kaixin Wang, Decheng Ni, Zhigang Xu, Peibin Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Evaluating and Improving ChatGPT for Unit Test Generation.

Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, Yiling Lou

Proc. ACM Softw. Eng., 2024

Deep learning-based efficient diagnosis of periapical diseases with dental X-rays.

Kaixin Wang, Shengben Zhang, Zhiyuan Wei, Xinle Fang, Feng Liu, Min Han, Mi Du

Image Vis. Comput., 2024

Large Language Model-Based Agents for Software Engineering: A Survey.

Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou

CoRR, 2024

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG.

Xueying Du, Geng Zheng, Kaixin Wang, Jiayi Feng, Wentai Deng, Mingwei Liu, Bihuan Chen, Xin Peng, Tao Ma, Yiling Lou

CoRR, 2024

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.

Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao

CoRR, 2024

Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm.

Hongpu Liu, Jingfei Jiang, Kaixin Wang, Lingshu Kong, Jingshu Wang

Proceedings of the Knowledge Science, Engineering and Management, 2024

Evaluating Large Language Models in Class-Level Code Generation.

Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Multi-scale Enhanced Convolutional Intermediary Attention Networks for Multivariate Long-Term Time Series Forecasting.

Lei Yang, Pinjie Zhao, Kaixin Wang, Yuhan Jiang, Kangshun Li

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Efficient Value Iteration for s-rectangular Robust Markov Decision Processes.

Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel.

Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Token-Based World Models with Parallel Observation Prediction.

Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Policy Gradient for Reinforcement Learning with General Utilities.

Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Learning the Uncertainty Set in Robust Markov Decision Process.

Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach.

Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang, Xue-Ming Yuan

IEEE Trans. Knowl. Data Eng., October, 2023

Analysis of Winter Anomaly and Annual Anomaly Based on Regression Approach.

Kaixin Wang, Jiandi Feng, Zhenzhen Zhao, Baomin Han

Remote. Sens., October, 2023

Efficient k-Clique Listing: An Edge-Oriented Branching Strategy.

Kaixin Wang, Kaiqiang Yu, Cheng Long

CoRR, 2023

C-Procgen: Empowering Procgen with Controllable Contexts.

Zhenxiong Tan, Kaixin Wang, Xinchao Wang

CoRR, 2023

ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation.

Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou

CoRR, 2023

Robust Reinforcement Learning via Adversarial Kernel Approximation.

Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor

CoRR, 2023

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation.

Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng

CoRR, 2023

An Efficient Solution to s-Rectangular Robust Markov Decision Processes.

Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor

CoRR, 2023

PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient.

Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2023

Reachability-Aware Laplacian Representation in Reinforcement Learning.

Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang

Proceedings of the International Conference on Machine Learning, 2023

Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments.

Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams.

Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Policy Gradient for Reinforcement Learning with General Utilities.

Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor

CoRR, 2022

Efficient Policy Iteration for Robust Markov Decision Processes via Regularization.

Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor

CoRR, 2022

Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction.

Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang

CoRR, 2022

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL.

Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis.

Shuai Li, Kaixin Wang, Yanbo Gao, Xun Cai, Mao Ye

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction.

Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang

Proceedings of the Learning on Graphs Conference, 2022

The Geometry of Robust Value Functions.

Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor

Proceedings of the International Conference on Machine Learning, 2022

A Robust Blind Deblurring Method for Natural Blurry Images.

Renfang Wen, Jian Chen, Linhuang Wu, Kaixin Wang

Proceedings of the IEEE International Conference on Industrial Technology, 2022

Night Vision Enhancement for License Plate Recognition based on Deep Learning.

Kaixin Wang, Linhuang Wu, Shihao Zhang, Renfang Wen

Proceedings of the IEEE International Conference on Industrial Technology, 2022

An Image Denoising Method for Real Scene Based on Pixel-Level Noise Estimation.

Hui Hong, Mingsen He, Kaixin Wang, Linhuang Wu

Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

2021

The Cramer-Rao lower bound in a non-AWGN model for the affine phase retrieval.

Zhitao Zhuang, Kaixin Wang

Int. J. Wavelets Multiresolution Inf. Process., 2021

Adaptive Holding for Online Bottleneck Matching with Delays.

Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing.

Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng

Proceedings of the 38th International Conference on Machine Learning, 2021

A Discrete Grey Wolf Optimizer for Solving Flexible Job Shop Scheduling Problem with Lot-streaming.

Chunjiang Zhang, Kaixin Wang, Qingji Ma, Xinyu Li, Liang Gao

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks.

Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification.

Kaixin Wang, Xiujuan Xu, Yu Liu, Zhehuan Zhao

Proceedings of the Information Retrieval - 27th China Conference, 2021

2020

Improving Generalization in Reinforcement Learning with Mixture Regularization.

Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A cascaded step-temporal attention network for ECG arrhythmia classification.

Yanyun Tao, Guoqi Yue, Kaixin Wang, Yuzhen Zhang, Bin Jiang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Neural Epitome Search for Architecture-Agnostic Network Compression.

Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Deep Model Compression via Filter Auto-sampling.

Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng

CoRR, 2019

Online Multi-Skilled Task Assignment on Road Networks.

Yu Liang, Wenjun Wu, Kaixin Wang, Chunming Hu

IEEE Access, 2019

PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment.

Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Evolutionary synthetic minority oversampling technique with random forest for warfarin dose prediction in Chinese patients.

Yanyun Tao, Kaixin Wang, Yuzhen Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

<i>Research Notes</i>: User Identification Model Based on Mouse Behaviors.

Bailing Wang, Hongri Liu, Kaixin Wang, Guodong Xin, Jia Song

Int. J. Softw. Eng. Knowl. Eng., 2018

Mining social lending motivations for loan project recommendations.

Jiaqi Yan, Kaixin Wang, Yi Liu, Kaiquan Xu, Lele Kang, Xi Chen, Hong Zhu

Expert Syst. Appl., 2018

2017

Lending Motivation Meets Home and Cultural Bias: A Study on Kiva.

Jiaqi Yan, Yi Liu, Yani Shi, Kaixin Wang

Proceedings of the International Conference on Information Systems, 2017

2016

An integrated static detection and analysis framework for android.

Jun Song, Chunling Han, Kaixin Wang, Jian Zhao, Rajiv Ranjan, Lizhe Wang

Pervasive Mob. Comput., 2016

2011

An O(N log²N) alternating-direction finite difference method for two-dimensional fractional diffusion equations.

Hong Wang, Kaixin Wang

J. Comput. Phys., 2011

2010

Uniform Estimates of an Eulerian-Lagrangian Method for Time-Dependent Convection-Diffusion Equations in Multiple Space Dimensions.

Hong Wang, Kaixin Wang

SIAM J. Numer. Anal., 2010

An Optimal-Order Error Estimate to ELLAM Schemes for Transient Advection-Diffusion Equations on Unstructured Meshes.

Kaixin Wang, Hong Wang

SIAM J. Numer. Anal., 2010

A direct O(N log² N) finite difference method for fractional diffusion equations.

Hong Wang, Kaixin Wang, Treena Sircar

J. Comput. Phys., 2010

2007

Uniform Estimates for Eulerian-Lagrangian Methods for Singularly Perturbed Time-Dependent Problems.

Hong Wang, Kaixin Wang

SIAM J. Numer. Anal., 2007

A characteristic method for porous medium flow.

Mohamed Al-Lawatia, Kaixin Wang, Aleksey S. Telyakovskiy, Hong Wang

Int. J. Comput. Sci. Math., 2007