Publications

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
Yihang Yao, Zhepeng Cen, Haohong Lin, Shiqi Liu, Zuxin Liu, Jiacheng Zhu, Zhang-Wei Hong, Laixi Shi, Ding Zhao
PDF Code Project
WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotics
Yuchen Wang, Jiangtao Kong, Sizhe Wei, Xiaochang Li, Haohong Lin, Hongjue Zhao, Tianyi Zhou, Lu Gan, Huajie Shao
PDF Project
A Generalizable Physics-guided Causal Model for Trajectory Prediction in Autonomous Driving
Zhenyu Zong, Yuchen Wang, Haohong Lin, Lu Gan, Huajie Shao
PDF Code Project
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning
Miao Li, Wenhao Ding, Haohong Lin, Yiqi Lyu, Yihang Yao, Yuyou Zhang, Ding Zhao
PDF
Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving
Haohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, Ding Zhao
PDF Code Poster Project
Query-Centric Diffusion Policy for Generalizable Robotic Assembly
Ziyi Xu, Haohong Lin, Shiqi Liu, Ding Zhao
PDF Project
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
Yuchen Wang, Hongjue Zhao, Haohong Lin, Enze Xu, Lifang He, Huajie Shao
PDF Code
Causal Composition Diffusion Model for Closed-loop Traffic Simulation
Haohong Lin, Cyrus Huang, Tung Phan, David Hayden, Huan Zhang, Ding Zhao, Sidd Srinivasa, Eric Wolff, Hongge Chen
PDF Code Project
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinfocement Learning
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
PDF Code Poster Project
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yihang Yao, Zhepeng Cen, Wenhao Ding, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
PDF Code Project
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Assembly
Haohong Lin, Radu Corcodel, Ding Zhao
PDF
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
PDF Code Poster Video Project
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
PDF Code Dataset
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
PDF Code Poster
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
PDF Code Poster
Rethinking Controllable Variational Autoencoders
Haohong Lin*, Huajie Shao*, Yifei Yang*, Longzhong Lin, Yizhuo Chen, Qinmin Yang, Han Zhao
PDF Code
Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration
Wenhao Ding, Haohong Lin, Bo Li, Kim Ji Eun, Ding Zhao
PDF
Controllable and Diverse Text Generation in E-commerce
Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek Abdelzaher
PDF