Wang, Kaixin

18 publications

NeurIPS 2025 Dyn-O: Building Structured World Models with Object-Centric Representations Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian

ICML 2025 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

ICCV 2025 TurboReg: TurboClique for Robust and Efficient Point Cloud Registration Shaocheng Yan, Pengcheng Shi, Zhenjun Zhao, Kaixin Wang, Kuang Cao, Ji Wu, Jiayuan Li

NeurIPS 2025 What Do Latent Action Models Actually Learn? Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian

ICML 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

ICML 2024 Efficient Value Iteration for S-Rectangular Robust Markov Decision Processes Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor

NeurIPS 2024 Implicit Curriculum in Procgen Made Explicit Zhenxiong Tan, Kaixin Wang, Xinchao Wang

ICML 2024 Improving Token-Based World Models with Parallel Observation Prediction Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor

ICML 2023 PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor

ICML 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang

ICLR 2023 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan

NeurIPSW 2023 Targeted Uncertainty Reduction in Robust MDPs Uri Gadot, Kaixin Wang, Esther Derman, Navdeep Kumar, Kfir Levy, Shie Mannor

LoG 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

NeurIPS 2022 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Tan, Zhuoran Yang, Zhaoran Wang

ICML 2022 The Geometry of Robust Value Functions Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor

ICML 2021 Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng

NeurIPS 2020 Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng

ICLR 2020 Neural Epitome Search for Architecture-Agnostic Network Compression Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng