Xiao, Wei

11 publications

ICML 2025 ABNet: Adaptive Explicit-Barrier Net for Safe and Scalable Robot Learning Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus

AAAI 2025 Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework Wei Xiao, Hongbin Wang, Ming He, Nianbin Wang

NeurIPS 2025 DyMoDreamer: World Modeling with Dynamic Modulation Boxuan Zhang, Runqing Wang, Wei Xiao, Weipu Zhang, Jian Sun, Gao Huang, Jie Chen, Gang Wang

MLJ 2025 PT4Rec: A Universal Prompt-Tuning Framework for Graph Contrastive Learning-Based Recommendations Wei Xiao, Qifeng Zhou

ICLR 2025 SafeDiffuser: Safe Planning with Diffusion Probabilistic Models Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Ramin Hasani, Mathias Lechner, Daniela Rus

NeurIPS 2023 Adaptive Online Replanning with Diffusion Models Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan

NeurIPS 2023 Gigastep - One Billion Steps per Second Multi-Agent Reinforcement Learning Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin Hasani, Joshua Rountree, Daniela Rus

L4DC 2023 Learning Stability Attention in Vision-Based End-to-End Driving Policies Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin Hasani, Daniela Rus

CoRL 2023 Measuring Interpretability of Neural Policies of Robots with Disentangled Representation Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin Hasani, Daniela Rus

ICML 2023 On the Forward Invariance of Neural ODEs Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus

WACV 2019 Deep Micro-Dictionary Learning and Coding Network Hao Tang, Heng Wei, Wei Xiao, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe