Fei Zhu - RankMe

64 papers Journal 59Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Action adversarial robust reinforcement learning via Stackelberg game. Pattern Recognit. Guofeng Zhu, Fei Zhu
2026	J	`jnl`	Bridging manual heuristics and automated shaping: Elevating exploration via intrinsic-driven dual-agent collaboration. Expert Syst. Appl. Rongqiang Zhu, Fei Zhu
2026	J	`jnl`	HMT-DTI: Hierarchical meta-path learning with transformer for drug-target interaction prediction. Neural Networks Dianlei Gao, Fei Zhu
2026	J	`jnl`	Learning fair representations without labeling sensitive attribute via dynamic environment partitioning and invariant learning. Inf. Process. Manag. Jialing Cai, Fei Zhu
2026	J	`jnl`	LkaM-PTM: Predicting PTM sites through multimodal protein features from capturing cross-field information. Artif. Intell. Medicine Mengjie Liu, Fei Zhu
2026	J	`jnl`	Mitigate discrimination caused by data bias: Learning fair representations with information reinforcement via recurrent encoding. Expert Syst. Appl. Jialing Cai, Fei Zhu
2026	J	`jnl`	Robust reinforcement learning with State-Driven Dual-Mode Alternating Adversarial Training via temporal bounded attacks. Pattern Recognit. Xiao Sun, Fei Zhu
2026	J	`jnl`	Weakly supervised multi-modal imitation learning from incompletely labeled demonstrations. Neural Networks Sijia Gu, Fei Zhu
2025	J	`jnl`	CoSD: Balancing behavioral consistency and diversity in unsupervised skill discovery. Neural Networks Shuai Qing, Yi Sun, Kun Ding, Hui Zhang, Fei Zhu
2025	J	`jnl`	ExSelfRL: An exploration-inspired self-supervised reinforcement learning approach to molecular generation. Expert Syst. Appl. Jing Wang, Fei Zhu
2025	J	`jnl`	GraphCF: Drug-target interaction prediction via multi-feature fusion with contrastive graph neural network. Artif. Intell. Medicine Dianlei Gao, Fei Zhu
2025	J	`jnl`	Improving robustness by action correction via multi-step maximum risk estimation. Neural Networks Qinglong Chen, Kun Ding, Xiaoxiong Zhang, Hui Zhang, Fei Zhu
2025	J	`jnl`	Reconstruction of dynamic protein-protein interaction network via graph convolutional network. Expert Syst. Appl. Yue He, Fei Zhu
2025	J	`jnl`	Scaffold-driven molecular generation via reinforced RNN with centroid distance evaluation. Expert Syst. Appl. Xingzheng Zhu, Zhihong Zhao, Fei Zhu
2024	J	`jnl`	A model for predicting post-translational modification cross-talk based on the Multilayer Network. Expert Syst. Appl. Yuhao Dai, Lei Deng, Fei Zhu
2024	J	`jnl`	BAGAIL: Multi-modal imitation learning from imbalanced demonstrations. Neural Networks Sijia Gu, Fei Zhu
2024	J	`jnl`	Collaborative promotion: Achieving safety and task performance by integrating imitation reinforcement learning. Expert Syst. Appl. Cai Zhang, Xiaoxiong Zhang, Hui Zhang, Fei Zhu
2024	J	`jnl`	Draw on advantages and avoid disadvantages by making a multi-step prediction. Expert Syst. Appl. Guofeng Zhu, Fei Zhu
2024	J	`jnl`	Goal-directed molecule generation with fine-tuning by policy gradient. Expert Syst. Appl. Chunli Sha, Fei Zhu
2024	J	`jnl`	Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces. Expert Syst. Appl. Zhigang Huang, Quan Liu, Fei Zhu, Lihua Zhang, Lan Wu
2024	J	`jnl`	Hitting stride by degrees: Fine grained molecular generation via diffusion model. Expert Syst. Appl. Xinmiao Peng, Fei Zhu
2024	J	`jnl`	Multi-objective molecular generation via clustered Pareto-based reinforcement learning. Neural Networks Jing Wang, Fei Zhu
2024	J	`jnl`	Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. Expert Syst. Appl. Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu
2024	J	`jnl`	RLUC: Strengthening robustness by attaching constraint considerations to policy network. Expert Syst. Appl. Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu
2024	J	`jnl`	RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer. Artif. Intell. Medicine Wenfeng Fan, Yue He, Fei Zhu
2024	J	`jnl`	Refine to the essence: Less-redundant skill learning via diversity clustering. Eng. Appl. Artif. Intell. Shuai Qing, Fei Zhu
2024	J	`jnl`	Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. Expert Syst. Appl. Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu
2023	J	`jnl`	A stable actor-critic algorithm for solving robotic tasks with multiple constraints. Frontiers Comput. Sci. Peiyao Zhao, Fei Zhu, Quan Liu, Xinghong Ling
2023	J	`jnl`	Addressing implicit bias in adversarial imitation learning with mutual information. Neural Networks Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang
2023	J	`jnl`	Hierarchical reinforcement learning with adaptive scheduling for robot control. Eng. Appl. Artif. Intell. Zhigang Huang, Quan Liu, Fei Zhu
2023	J	`jnl`	Integrating safety constraints into adversarial training for robust deep reinforcement learning. Inf. Sci. Jinling Meng, Fei Zhu, Yangyang Ge, Peiyao Zhao
2023	J	`jnl`	Learning fair representations for accuracy parity. Eng. Appl. Artif. Intell. Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li
2023	J	`jnl`	PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk. Briefings Bioinform. Fei Zhu, Lei Deng, Yuhao Dai, Guangyu Zhang, Fanwang Meng, Cheng Luo, Guang Hu, Zhongjie Liang
2023	J	`jnl`	Prediction of post-translational modification cross-talk and mutation within proteins via imbalanced learning. Expert Syst. Appl. Lei Deng, Fei Zhu, Yue He, Fanwang Meng
2023	J	`jnl`	SAPocket: Finding pockets on protein surfaces with a focus towards position and voxel channels. Expert Syst. Appl. Taotao Wang, Yue He, Fei Zhu
2023	J	`jnl`	Seek for commonalities: Shared features extraction for multi-task reinforcement learning via adversarial training. Expert Syst. Appl. Jinling Meng, Fei Zhu
2022	J	`jnl`	Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations. Inf. Sci. Lin Zhang, Fei Zhu, Xinghong Ling, Quan Liu
2022	J	`jnl`	Explore the weakness: Instructive exploration adversarial robust reinforcement learning. J. King Saud Univ. Comput. Inf. Sci. Chunyang Wu, Fei Zhu, Quan Liu
2022	J	`jnl`	Improving deep reinforcement learning by safety guarding model via hazardous experience planning. Frontiers Comput. Sci. Pai Peng, Fei Zhu, Xinghong Ling, Peiyao Zhao, Quan Liu
2022	J	`jnl`	Learning fair representations by separating the relevance of potential information. Inf. Process. Manag. Tangkun Quan, Fei Zhu, Xinghong Ling, Quan Liu
2022	J	`jnl`	Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models. J. Chem. Inf. Model. Fei Zhu, Sijie Yang, Fanwang Meng, Yuxiang Zheng, Xin Ku, Cheng Luo, Guang Hu, Zhongjie Liang
2022	J	`jnl`	Predicting before acting: improving policy quality by taking a vision of consequence. Connect. Sci. Xiaoshu Zhou, Fei Zhu, Peiyao Zhao
2022	J	`jnl`	Vital node searcher: find out critical node measure with deep reinforcement learning. Connect. Sci. Guanting Du, Fei Zhu, Quan Liu
2022	J	`jnl`	Within the scope of prediction: Shaping intrinsic rewards via evaluating uncertainty. Expert Syst. Appl. Xiaoshu Zhou, Fei Zhu, Peiyao Zhao
2021	J	`jnl`	ARAIL: Learning to rank from incomplete demonstrations. Inf. Sci. Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao
2021	J	`jnl`	Gradient temporal-difference learning for off-policy evaluation using emphatic weightings. Inf. Sci. Jiaqing Cao, Quan Liu, Fei Zhu, Qiming Fu, Shan Zhong
2021	J	`jnl`	Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. IEEE CAA J. Autom. Sinica Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu
2021	J	`jnl`	Improving exploration efficiency of deep reinforcement learning through samples produced by generative model. Expert Syst. Appl. Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao
2021	J	`jnl`	PCLiON: An Ontology for Data Standardization and Sharing of Prostate Cancer Associated Lifestyles. Int. J. Medical Informatics Yalan Chen, Chunjiang Yu, Xingyun Liu, Ting Xi, Guangfei Xu, Yan Sun, Fei Zhu, Bairong Shen
2020	J	`jnl`	A resource retrieval method of multimedia recommendation system based on deep learning. Int. J. Auton. Adapt. Commun. Syst. Xiaofei Liu, Fei Zhu, Yuchen Fu, Quan Liu
2020	J	`jnl`	Multi-agent cooperation Q-learning algorithm based on constrained Markov Game. Comput. Sci. Inf. Syst. Yangyang Ge, Fei Zhu, Wei Huang, Peiyao Zhao, Quan Liu
2019	J	`jnl`	ECG Generation With Sequence Generative Adversarial Nets Optimized by Policy Gradient. IEEE Access Fei Ye, Fei Zhu, Yuchen Fu, Bairong Shen
2019	J	`jnl`	SARSA based access control with approximation by TileCoding. Comput. Sci. Inf. Syst. Fei Zhu, Pai Peng, Quan Liu, Yuchen Fu, Shan Zhong
2019	J	`jnl`	Safe Q-Learning Method Based on Constrained Markov Decision Processes. IEEE Access Yangyang Ge, Fei Zhu, Xinghong Ling, Quan Liu
2018	—	`conf`	Deep Deterministic Policy Gradient with Clustered Prioritized Sampling. ICONIP (2) Wen Wu, Fei Zhu, Yuchen Fu, Quan Liu
2018	J	`jnl`	NGS-FC: A Next-Generation Sequencing Data Format Converter. IEEE ACM Trans. Comput. Biol. Bioinform. Chunjiang Yu, Wentao Wu, Jing Wang, Yuxin Lin, Yang Yang, Jiajia Chen, Fei Zhu, Bairong Shen
2017	J	`jnl`	A kernel based true online Sarsa(λ) for continuous space control problems. Comput. Sci. Inf. Syst. Fei Zhu, Haijun Zhu, Yuchen Fu, Donghuo Chen, Xiaoke Zhou
2016	—	`conf`	A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample Sparsification. ICONIP (3) Haijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, JianWei Zhai, Cijia Sun, Peng Zhang
2016	J	`jnl`	Learn to human-level control in dynamic environment using incremental batch interrupting temporal abstraction. Comput. Sci. Inf. Syst. Yuchen Fu, Zhipeng Xu, Fei Zhu, Quan Liu, Xiaoke Zhou
2015	—	`conf`	A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. ICONIP (1) Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu
2015	J	`jnl`	Human-level moving object recognition from traffic video. Comput. Sci. Inf. Syst. Fei Zhu, Quan Liu, Shan Zhong, Yang Yang
2015	—	`conf`	Protein-Protein Interaction Network Constructing Based on Text Mining and Reinforcement Learning with Application to Prostate Cancer. TrustCom/BigDataSE/ISPA (1) Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen
2014	—	`conf`	Protein-protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer. BIBM Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen
2013	J	`jnl`	Biomedical text mining and its applications in cancer research. J. Biomed. Informatics Fei Zhu, Preecha Patumcharoenpol, Cheng Zhang, Yang Yang, Jonathan H. Chan, Asawin Meechai, Wanwipa Vongsangnak, Bairong Shen