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
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OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yihang Yao, Zhepeng Cen, Wenhao Ding, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
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Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Assembly
Haohong Lin, Radu Corcodel, Ding Zhao
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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
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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
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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
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Rethinking Controllable Variational Autoencoders
Haohong Lin*, Huajie Shao*, Yifei Yang*, Longzhong Lin, Yizhuo Chen, Qinmin Yang, Han Zhao
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Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration
Wenhao Ding, Haohong Lin, Bo Li, Kim Ji Eun, Ding Zhao
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Controllable and Diverse Text Generation in E-commerce
Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek Abdelzaher
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