Haoyu Wang

According to our database, Haoyu Wang authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

What Makes Value Learning Efficient in Residual Reinforcement Learning?

Guozheng Ma, Lu Li, Haoyu Wang, Zixuan Liu, Pierre-Luc Bacon, Dacheng Tao

CoRR, February, 2026

Language-based Trial and Error Falls Behind in the Era of Experience.

Haoyu Wang, Guozheng Ma, Shugang Cui, Yilun Kong, Haotian Luo, Li Shen, Mengya Gao, Yichao Wu, Xiaogang Wang, Dacheng Tao

CoRR, January, 2026

2025

Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning.

Guozheng Ma, Lu Li, Zilin Wang, Haoyu Wang, Shengchao Hu, Leszek Rutkowski, Dacheng Tao

CoRR, October, 2025

UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios.

Haotian Luo, Huaisong Zhang, Xuelin Zhang, Haoyu Wang, Zeyu Qin, Wenjie Lu, Guozheng Ma, Haiying He, Yingsha Xie, Qiyang Zhou, Zixuan Hu, Hongze Mi, Yibo Wang, Naiqiang Tan, Hong Chen, Yi R. Fung, Chun Yuan, Li Shen

CoRR, September, 2025

MeRF: Motivation-enhanced Reinforcement Finetuning for Large Reasoning Models.

Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao

CoRR, June, 2025

Lifelong Safety Alignment for Language Models.

Haoyu Wang, Zeyu Qin, Yifei Zhao, Chao Du, Min Lin, Xueqian Wang, Tianyu Pang

CoRR, May, 2025

Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment.

Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Minhao Cheng, Dacheng Tao

CoRR, February, 2025

Are Large Language Models Really Robust to Word-Level Perturbations?

Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao

Trans. Mach. Learn. Res., 2025

Safety Reasoning with Guidelines.

Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng

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

Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer.

Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao

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

2024

Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation.

Haoyu Wang, Bingzhe Wu, Yatao Bian, Yongzhe Chang, Xueqian Wang, Peilin Zhao

CoRR, 2024

Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping.

Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao

CoRR, 2024

Integrating Local & Global Features for Estimating Shortest-path Distance in Large-scale Graphs.

Haoyu Wang, Chun Yuan, Yuan Pu

Proceedings of the International Joint Conference on Neural Networks, 2024

MMR: Multi-scale Motion Retargeting between Skeleton-agnostic Characters.

Haoyu Wang, Shaoli Huang, Fang Zhao, Chun Yuan

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting.

Haoyu Wang, Shaoli Huang, Fang Zhao, Chun Yuan, Ying Shan

CoRR, 2023

EPO-S: A Constrained RL Method to Enhance UAV Safety with Spatial Representation.

Qin Zhang, Linrui Zhang, Zaihui Yang, Haoyu Wang, Xueqian Wang, Yongzhe Chang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning.

Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023