Publications

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

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning

Yihang Yao, Zhepeng Cen, Wenhao Ding, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao

Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Assembly

Haohong Lin, Radu Corcodel, Ding Zhao

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

Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration

Wenhao Ding, Haohong Lin, Bo Li, Kim Ji Eun, Ding Zhao

PDF Code Dataset

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

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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

Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration

Wenhao Ding, Haohong Lin, Bo Li, Kim Ji Eun, Ding Zhao

Controllable and Diverse Text Generation in E-commerce

Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek Abdelzaher