Haohong Lin

According to our database, Haohong Lin authored at least 29 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems.

Yuchen Wang, Jiangtao Kong, Sizhe Wei, Xiaochang Li, Haohong Lin, Hongjue Zhao, Tianyi Zhou, Lu Gan, Huajie Shao

CoRR, March, 2026

A Generalizable Physics-guided Causal Model for Trajectory Prediction in Autonomous Driving.

Zhenyu Zong, Yuchen Wang, Haohong Lin, Lu Gan, Huajie Shao

CoRR, February, 2026

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

CoRR, February, 2026

EVODEX: A Cheminformatics Framework for Mechanistic Abstraction and Prediction of Enzymatic Reactions.

Lais Lastre Conceicao, Haohong Lin, Yu-Chieh Tai, Gongao Xue, Han Zhang, Chenyan Zhang, J. Christopher Anderson

J. Chem. Inf. Model., 2026

2025

Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving.

Haohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, Ding Zhao

CoRR, November, 2025

Query-Centric Diffusion Policy for Generalizable Robotic Assembly.

Ziyi Xu, Haohong Lin, Shiqi Liu, Ding Zhao

CoRR, September, 2025

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning.

Miao Li, Wenhao Ding, Haohong Lin, Yiqi Lyu, Yihang Yao, Yuyou Zhang, Ding Zhao

CoRR, May, 2025

Semantically Adversarial Scene Generation With Explicit Knowledge Guidance.

Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

IEEE Trans. Intell. Transp. Syst., February, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Causal Composition Diffusion Model for Closed-loop Traffic Generation.

Haohong Lin, Xin Huang, Tung Phan, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

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

IEEE Robotics Autom. Lett., May, 2024

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

J. Data-centric Mach. Learn. Res., 2024

Causal Composition Diffusion Model for Closed-loop Traffic Generation.

Haohong Lin, Xin Huang, Tung Phan-Minh, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen

CoRR, 2024

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.

Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao

CoRR, 2024

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.

Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly.

Haohong Lin, Radu Corcodel, Ding Zhao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective.

Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao

IEEE Trans. Intell. Transp. Syst., 2023

Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving.

Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao

CoRR, 2023

2022

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning.

Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coalitional Fairness of Autonomous Vehicles at a T-Intersection.

Diana Gómez, Haohong Lin, Peide Huang, Corey Harper, Ding Zhao

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Rethinking Controllable Variational Autoencoders.

Huajie Shao, Yifei Yang, Haohong Lin, Longzhong Lin, Yizhuo Chen, Qinmin Yang, Han Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation.

Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

Proceedings of the Conference on Robot Learning, 2022

2021

CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation.

Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

CoRR, 2021

Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model.

Huiyan Li, Haohong Lin, You Wang, Hengyang Wang, Han Gao, Qing Ai, Guang Li

CoRR, 2021

Controllable and Diverse Text Generation in E-commerce.

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Challenging β-VAE with β<1 for Disentanglement Via Dynamic Learning.

Huajie Shao, Haohong Lin, Qinmin Yang, Shuochao Yao, Tarek F. Abdelzaher

CoRR, 2020

Attention Bidirectional LSTM Networks Based Mime Speech Recognition Using sEMG Data.

Hongyi Ye, Haohong Lin, Zijun Song, Ming Zhang, Ruifen Hu, Nan Li, Guang Li

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2014

GIRAFFE: A scalable distributed coordination service for large-scale systems.

Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di, Song Wu

Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014