Guozheng Ma - RankMe

27 papers A* 5A 1Misc 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Consistency-Regularized Multi-Stage Joint-Perception Graph Fuzzy Clustering Algorithm. Neurocomputing Wen-Li Zhang, Yiping Wang, Fan Li, Xingyu Zhai, Guozheng Ma, Qiuying Shi, Xuelin Lei, Yiwen Wang
2026	J	`jnl`	Language-based Trial and Error Falls Behind in the Era of Experience. CoRR Haoyu Wang, Guozheng Ma, Shugang Cui, Yilun Kong, Haotian Luo, Li Shen, Mengya Gao, Yichao Wu, Xiaogang Wang, Dacheng Tao
2026	J	`jnl`	Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation. CoRR Zhiyao Ren, Yibing Zhan, Siyuan Liang, Guozheng Ma, Baosheng Yu, Dacheng Tao
2026	J	`jnl`	What Makes Value Learning Efficient in Residual Reinforcement Learning? CoRR Guozheng Ma, Lu Li, Haoyu Wang, Zixuan Liu, Pierre-Luc Bacon, Dacheng Tao
2025	J	`jnl`	A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning. Int. J. Comput. Vis. Guozheng Ma, Zhen Wang, Zhecheng Yuan, Xueqian Wang, Bo Yuan, Dacheng Tao
2025	J	`jnl`	Are Large Language Models Really Robust to Word-Level Perturbations? Trans. Mach. Learn. Res. 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
2025	A*	`conf`	Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer. ICML Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao
2025	J	`jnl`	Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer. CoRR Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao
2025	J	`jnl`	MeRF: Motivation-enhanced Reinforcement Finetuning for Large Reasoning Models. CoRR Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao
2025	A*	`conf`	Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning. ICML Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao
2025	J	`jnl`	Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning. CoRR Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao
2025	J	`jnl`	Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning. CoRR Mingqi Yuan, Qi Wang, Guozheng Ma, Bo Li, Xin Jin, Yunbo Wang, Xiaokang Yang, Wenjun Zeng, Dacheng Tao
2025	J	`jnl`	Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning. CoRR Guozheng Ma, Lu Li, Zilin Wang, Haoyu Wang, Shengchao Hu, Leszek Rutkowski, Dacheng Tao
2025	J	`jnl`	UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios. CoRR 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
2024	J	`jnl`	Faster and Better 3D Splatting via Group Training. CoRR Chengbo Wang, Guozheng Ma, Yifei Xue, Yizhen Lao
2024	A	`conf`	Normalization Enhances Generalization in Visual Reinforcement Learning. AAMAS Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li
2024	A*	`conf`	Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. ICLR Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
2024	J	`jnl`	Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
2023	J	`jnl`	Are Large Language Models Really Robust to Word-Level Perturbations? CoRR 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
2023	A*	`conf`	Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. NeurIPS Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
2023	J	`jnl`	Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. CoRR Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
2023	J	`jnl`	Normalization Enhances Generalization in Visual Reinforcement Learning. CoRR Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li
2023	J	`jnl`	Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. CoRR Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
2022	J	`jnl`	A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning. CoRR Guozheng Ma, Zhen Wang, Zhecheng Yuan, Xueqian Wang, Bo Yuan, Dacheng Tao
2022	A*	`conf`	Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. IJCAI Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
2022	J	`jnl`	Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. CoRR Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
2013	Misc	`conf`	An optimization scheme for highway emergency dispatching management. ICNC Guozheng Ma, Ziying Guo, Deming Xu, Yutao Chang