Publications

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 Source Document
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
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
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 Source Document
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