Yi Ma - RankMe

37 papers A* 16A 3Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search. WWW Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng
2025	J	`jnl`	Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies. CoRR Yi Ma, Hongyao Tang, Chenjun Xiao, Yaodong Yang, Wei Wei, Jianye Hao, Jiye Liang
2025	J	`jnl`	Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model. CoRR Jing Liang, Hongyao Tang, Yi Ma, Jinyi Liu, Yan Zheng, Shuyue Hu, Lei Bai, Jianye Hao
2024	A	`conf`	A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. AAMAS Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2024	A*	`conf`	CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making. NeurIPS Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
2024	J	`jnl`	CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making. CoRR Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
2024	A	`conf`	ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. AAMAS Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2024	A*	`conf`	ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. IJCAI Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2024	A*	`conf`	Iteratively Refined Behavior Regularization for Offline Reinforcement Learning. NeurIPS Yi Ma, Jianye Hao, Xiaohan Hu, Yan Zheng, Chenjun Xiao
2024	A*	`conf`	Rethinking Decision Transformer via Hierarchical Reinforcement Learning. ICML Yi Ma, Jianye Hao, Hebin Liang, Chenjun Xiao
2024	A*	`conf`	Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. ICLR Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng
2024	J	`jnl`	Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. CoRR Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng
2024	A*	`conf`	Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation. ICML Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia
2024	A*	`conf`	Unlock the Intermittent Control Ability of Model Free Reinforcement Learning. NeurIPS Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangjie Lv
2023	A	`conf`	A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. CIKM Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao
2023	J	`jnl`	Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration. CoRR Kai Zhao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2023	J	`jnl`	HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach. CoRR Shixi Lian, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
2023	J	`jnl`	In-Sample Policy Iteration for Offline Reinforcement Learning. CoRR Xiaohan Hu, Yi Ma, Chenjun Xiao, Yan Zheng, Zhaopeng Meng
2023	J	`jnl`	Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. CoRR Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2023	A*	`conf`	Reining Generalization in Offline Reinforcement Learning via Representation Distinction. NeurIPS Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng
2023	J	`jnl`	Rethinking Decision Transformer via Hierarchical Reinforcement Learning. CoRR Yi Ma, Chenjun Xiao, Hebin Liang, Jianye Hao
2023	A*	`conf`	SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. AAAI Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao
2022	A*	`conf`	PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. IJCAI Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
2022	J	`jnl`	PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. CoRR Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
2022	J	`jnl`	State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. CoRR Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao
2021	A*	`conf`	A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
2021	A*	`conf`	A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. KDD Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He
2020	J	`jnl`	Combining sequence and network information to enhance protein-protein interaction prediction. BMC Bioinform. Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao, Yaodong Yang, Xiaotian Hao, Yue Fu, Li Wang, Jiajie Peng
2020	A*	`conf`	Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. ICML Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
2020	J	`jnl`	Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. CoRR Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
2020	A*	`conf`	KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. IJCAI Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020	J	`jnl`	KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. CoRR Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
2020	—	`conf`	Large Scale Deep Reinforcement Learning in War-games. BIBM Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma
2020	A*	`conf`	Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
2020	J	`jnl`	Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
2019	—	`conf`	Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks. BIBM Leilei Liu, Yi Ma, Xianglei Zhu, Yaodong Yang, Xiaotian Hao, Li Wang, Jiajie Peng
2019	J	`jnl`	Spectral-based Graph Convolutional Network for Directed Graphs. CoRR Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen