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2020 – today
- 2025
[j3]Wenhao Ding
, Haohong Lin, Bo Li, Ding Zhao:
Semantically Adversarial Scene Generation With Explicit Knowledge Guidance. IEEE Trans. Intell. Transp. Syst. 26(2): 1510-1521 (2025)- 2024
- [j2]Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao:
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. 9(5): 4639-4646 (2024) - [c10]Haohong Lin, Radu Corcodel, Ding Zhao:
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. ICRA 2024: 9227-9233 - [c9]Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao:
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. NeurIPS 2024 - [c8]Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao:
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. NeurIPS 2024 - [i12]Haohong Lin, Radu Corcodel, Ding Zhao:
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. CoRR abs/2404.17684 (2024) - [i11]Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao:
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR abs/2407.10967 (2024) - [i10]Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao:
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR abs/2407.14653 (2024) - [i9]Haohong Lin, Xin Huang, Tung Phan-Minh, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen:
Causal Composition Diffusion Model for Closed-loop Traffic Generation. CoRR abs/2412.17920 (2024) - 2023
- [j1]Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao:
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. IEEE Trans. Intell. Transp. Syst. 24(7): 6971-6988 (2023) - [i8]Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao:
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR abs/2306.09303 (2023) - [i7]Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao:
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR abs/2311.10747 (2023) - 2022
- [c7]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. CoRL 2022: 812-823 - [c6]Huajie Shao, Yifei Yang, Haohong Lin, Longzhong Lin, Yizhuo Chen, Qinmin Yang, Han Zhao:
Rethinking Controllable Variational Autoencoders. CVPR 2022: 19228-19237 - [c5]Diana Gómez, Haohong Lin, Peide Huang, Corey Harper, Ding Zhao:
Coalitional Fairness of Autonomous Vehicles at a T-Intersection. ITSC 2022: 2536-2541 - [c4]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. NeurIPS 2022 - [i6]Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao:
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. CoRR abs/2202.02215 (2022) - [i5]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. CoRR abs/2207.09081 (2022) - 2021
- [c3]Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher:
Controllable and Diverse Text Generation in E-commerce. WWW 2021: 2392-2401 - [i4]Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher:
Controllable and Diverse Text Generation in E-commerce. CoRR abs/2102.11497 (2021) - [i3]Huiyan Li, Haohong Lin, You Wang, Hengyang Wang, Han Gao, Qing Ai, Guang Li:
Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model. CoRR abs/2108.00190 (2021) - [i2]Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao:
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation. CoRR abs/2110.13939 (2021) - 2020
- [c2]Hongyi Ye, Haohong Lin, Zijun Song, Ming Zhang, Ruifen Hu, Nan Li, Guang Li:
Attention Bidirectional LSTM Networks Based Mime Speech Recognition Using sEMG Data. SMC 2020: 3162-3167 - [i1]Huajie Shao, Haohong Lin, Qinmin Yang, Shuochao Yao, Tarek F. Abdelzaher:
Challenging β-VAE with β<1 for Disentanglement Via Dynamic Learning. CoRR abs/2009.06795 (2020)
2010 – 2019
- 2014
- [c1]Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di, Song Wu:
GIRAFFE: A scalable distributed coordination service for large-scale systems. CLUSTER 2014: 38-47
Coauthor Index
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