Guozheng Ma

According to our database, Guozheng Ma authored at least 20 papers between 2013 and 2026.

Collaborative distances:

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

2026

STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning.

Junjie Zhang, Guozheng Ma, Shunyu Liu, Zetian Hu, Yongcheng Jing, Ting-En Lin, Yongbin Li, Dacheng Tao

CoRR, May, 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

Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation.

Zhiyao Ren, Yibing Zhan, Siyuan Liang, Guozheng Ma, Baosheng Yu, Dacheng Tao

CoRR, January, 2026

Consistency-Regularized Multi-Stage Joint-Perception Graph Fuzzy Clustering Algorithm.

Wen-li Zhang, Yiping Wang, Fan Li, Xingyu Zhai, Guozheng Ma, Qiuying Shi, Xuelin Lei, Yiwen Wang

Neurocomputing, 2026

2025

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning.

Guozheng Ma, Zhen Wang, Zhecheng Yuan, Xueqian Wang, Bo Yuan, Dacheng Tao

Int. J. Comput. Vis., October, 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

Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.

Mingqi Yuan, Qi Wang, Guozheng Ma, Bo Li, Xin Jin, Yunbo Wang, Xiaokang Yang, Wenjun Zeng, Dacheng Tao

CoRR, April, 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

Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning.

Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao

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

Faster and Better 3D Splatting via Group Training.

Chengbo Wang, Guozheng Ma, Yifei Xue, Yizhen Lao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.

Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Normalization Enhances Generalization in Visual Reinforcement Learning.

Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

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

2022

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning.

Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2013

An optimization scheme for highway emergency dispatching management.

Guozheng Ma, Ziying Guo, Deming Xu, Yutao Chang

Proceedings of the Ninth International Conference on Natural Computation, 2013