| 2025 | ICCV | Turboreg: Turboclique for Robust and Efficient Point Cloud Registration. | Shaocheng Yan, Pengcheng Shi, Zhenjun Zhao, Kaixin Wang, Kuang Cao, Ji Wu, Jiayuan Li |
| 2025 | ICDE | Maximal Clique Enumeration with Hybrid Branching and Early Termination. | Kaixin Wang, Kaiqiang Yu, Cheng Long |
| 2025 | ICML | How Far Is Video Generation from World Model: A Physical Law Perspective. | Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng |
| 2024 | ICLR | Learning the Uncertainty Set in Robust Markov Decision Process. | Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor |
| 2024 | ICLR | Policy Gradient for Reinforcement Learning with General Utilities. | Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor |
| 2024 | ICML | Improving Token-Based World Models with Parallel Observation Prediction. | Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor |
| 2024 | ICML | 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 |
| 2024 | ICML | Efficient Value Iteration for s-rectangular Robust Markov Decision Processes. | Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor |
| 2024 | ICONIP | EL-LSTM: A Multivariate Time Series Forecasting Model Combining Spiking Neurons and Long Short-Term Memory Networks. | Lei Yang, Yuhan Jiang, Kaixin Wang, Pinjie Zhao, Kangshun Li |
| 2024 | ICPR | Multi-scale Enhanced Convolutional Intermediary Attention Networks for Multivariate Long-Term Time Series Forecasting. | Lei Yang, Pinjie Zhao, Kaixin Wang, Yuhan Jiang, Kangshun Li |
| 2024 | ICSE | 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 |
| 2024 | KSEM | Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. | Hongpu Liu, Jingfei Jiang, Kaixin Wang, Lingshu Kong, Jingshu Wang |
| 2023 | ICDE | 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 |
| 2023 | ICLR | Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. | Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan |
| 2023 | ICML | Reachability-Aware Laplacian Representation in Reinforcement Learning. | Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang |
| 2023 | ICML | PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. | Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor |
| 2022 | ICML | The Geometry of Robust Value Functions. | Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor |
| 2021 | CIKM | 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 |
| 2021 | CSCWD | 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 |
| 2021 | ICML | Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. | Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng |
| 2021 | SDM | Adaptive Holding for Online Bottleneck Matching with Delays. | Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu |
| 2020 | ICLR | Neural Epitome Search for Architecture-Agnostic Network Compression. | Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng |
| 2020 | IJCNN | A cascaded step-temporal attention network for ECG arrhythmia classification. | Yanyun Tao, Guoqi Yue, Kaixin Wang, Yuzhen Zhang, Bin Jiang |
| 2019 | CEC | Evolutionary synthetic minority oversampling technique with random forest for warfarin dose prediction in Chinese patients. | Yanyun Tao, Kaixin Wang, Yuzhen Zhang |
| 2019 | ICCV | PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. | Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng |
| 2017 | ICIS | Lending Motivation Meets Home and Cultural Bias: A Study on Kiva. | Jiaqi Yan, Yi Liu, Yani Shi, Kaixin Wang |