Jifeng Hu - RankMe

28 papers A* 4B 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A degree-corrected stochastic block model for community discovery in signed networks with heterogeneous degree distributions. Pattern Recognit. Zhejian Yang, Yang Li, Bo Yu, Jifeng Hu, Hechang Chen
2026	J	`jnl`	Instructed Diffuser With Temporal Condition Guidance for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2026	J	`jnl`	State transition difference prediction for deep reinforcement learning. Pattern Recognit. Haotian Chi, Zhaogeng Liu, Xing Chen, Bohao Qu, Jifeng Hu, Yuan Jiang, Hechang Chen, Yi Chang
2025	J	`jnl`	A Flexible Diffusion Convolution for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Songwei Zhao, Bo Yu, Kang Yang, Sinuo Zhang, Jifeng Hu, Yuan Jiang, Philip S. Yu, Hechang Chen
2025	J	`jnl`	Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning. CoRR Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025	J	`jnl`	Continual Diffuser (CoD): Mastering Continual Offline RL With Experience Rehearsal. IEEE Trans. Neural Networks Learn. Syst. Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025	J	`jnl`	Decision Flow Policy Optimization. CoRR Jifeng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Dacheng Tao
2025	J	`jnl`	EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios. IEEE Trans. Knowl. Data Eng. Songwei Zhao, Bo Yu, Sinuo Zhang, Zhejian Yang, Jifeng Hu, Philip S. Yu, Hechang Chen
2025	J	`jnl`	Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments. IEEE Trans. Ind. Informatics Sili Huang, Jifeng Hu, Hechang Chen, Peng Cui, Haiyin Piao, Lichao Sun, Bo Yang
2024	J	`jnl`	Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. CoRR Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2024	J	`jnl`	Continual Task Learning through Adaptive Policy Self-Composition. CoRR Shengchao Hu, Yuhang Zhou, Ziqing Fan, Jifeng Hu, Li Shen, Ya Zhang, Dacheng Tao
2024	A*	`conf`	Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. NeurIPS Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024	J	`jnl`	Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. CoRR Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024	B	`conf`	Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning. IJCNN Sinuo Zhang, Jifeng Hu, Xinqi Du, Zhejian Yang, Yang Yu, Hechang Chen
2024	J	`jnl`	Generalized multi-agent competitive reinforcement learning with differential augmentation. Expert Syst. Appl. Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang
2024	A*	`conf`	In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. ICML Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
2024	J	`jnl`	In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. CoRR Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
2024	J	`jnl`	Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. CoRR Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun
2023	J	`jnl`	A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. CoRR Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang
2023	—	`conf`	Cross-Modal Audio-Text Retrieval via Sequential Feature Augmentation. CACML Fuhu Song, Jifeng Hu, Che Wang, Jiao Huang, Haowen Zhang, Yi Wang
2023	J	`jnl`	Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. CoRR Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2023	J	`jnl`	Learning Generalizable Agents via Saliency-Guided Features Decorrelation. CoRR Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023	A*	`conf`	Learning Generalizable Agents via Saliency-guided Features Decorrelation. NeurIPS Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023	—	`conf`	Multiple Frequency Bands Temporal State Representation for Deep Reinforcement Learning. CACML Che Wang, Jifeng Hu, Fuhu Song, Jiao Huang, Zixuan Yang, Yusen Wang
2023	B	`conf`	QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework. IJCNN Jiao Huang, Jifeng Hu, Luheng Yang, Zhihang Ren, Hechang Chen, Bo Yang
2022	J	`jnl`	Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning. CoRR Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
2022	A*	`conf`	Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. NeurIPS Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
2022	J	`jnl`	Electromagnetic Structure of the Neutron from Annihilation Reactions. Symmetry Paul Larin, Xiaorong Zhou, Jifeng Hu, Frank E. Maas, Rinaldo Baldini Ferroli, Haiming Hu, Guangshun Huang