Fei Zhu

According to our database, Fei Zhu authored at least 55 papers between 2013 and 2025.

Collaborative distances:

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

2025

CoSD: Balancing behavioral consistency and diversity in unsupervised skill discovery.

Shuai Qing, Yi Sun, Kun Ding, Hui Zhang, Fei Zhu

Neural Networks, 2025

Improving robustness by action correction via multi-step maximum risk estimation.

Qinglong Chen, Kun Ding, Xiaoxiong Zhang, Hui Zhang, Fei Zhu

Neural Networks, 2025

Scaffold-driven molecular generation via reinforced RNN with centroid distance evaluation.

Xingzheng Zhu, Zhihong Zhao, Fei Zhu

Expert Syst. Appl., 2025

ExSelfRL: An exploration-inspired self-supervised reinforcement learning approach to molecular generation.

Jing Wang, Fei Zhu

Expert Syst. Appl., 2025

Reconstruction of dynamic protein-protein interaction network via graph convolutional network.

Yue He, Fei Zhu

Expert Syst. Appl., 2025

GraphCF: Drug-target interaction prediction via multi-feature fusion with contrastive graph neural network.

Dianlei Gao, Fei Zhu

Artif. Intell. Medicine, 2025

2024

Draw on advantages and avoid disadvantages by making a multi-step prediction.

Guofeng Zhu, Fei Zhu

Expert Syst. Appl., March, 2024

Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint.

Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu

Expert Syst. Appl., March, 2024

RLUC: Strengthening robustness by attaching constraint considerations to policy network.

Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu

Expert Syst. Appl., March, 2024

Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments.

Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu

Expert Syst. Appl., March, 2024

Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces.

Zhigang Huang, Quan Liu, Fei Zhu, Lihua Zhang, Lan Wu

Expert Syst. Appl., March, 2024

Multi-objective molecular generation via clustered Pareto-based reinforcement learning.

Jing Wang, Fei Zhu

Neural Networks, 2024

BAGAIL: Multi-modal imitation learning from imbalanced demonstrations.

Sijia Gu, Fei Zhu

Neural Networks, 2024

Collaborative promotion: Achieving safety and task performance by integrating imitation reinforcement learning.

Cai Zhang, Xiaoxiong Zhang, Hui Zhang, Fei Zhu

Expert Syst. Appl., 2024

Goal-directed molecule generation with fine-tuning by policy gradient.

Chunli Sha, Fei Zhu

Expert Syst. Appl., 2024

Hitting stride by degrees: Fine grained molecular generation via diffusion model.

Xinmiao Peng, Fei Zhu

Expert Syst. Appl., 2024

A model for predicting post-translational modification cross-talk based on the Multilayer Network.

Yuhao Dai, Lei Deng, Fei Zhu

Expert Syst. Appl., 2024

Refine to the essence: Less-redundant skill learning via diversity clustering.

Shuai Qing, Fei Zhu

Eng. Appl. Artif. Intell., 2024

RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer.

Wenfeng Fan, Yue He, Fei Zhu

Artif. Intell. Medicine, 2024

2023

Hierarchical reinforcement learning with adaptive scheduling for robot control.

Zhigang Huang, Quan Liu, Fei Zhu

Eng. Appl. Artif. Intell., November, 2023

Addressing implicit bias in adversarial imitation learning with mutual information.

Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang

Neural Networks, October, 2023

SAPocket: Finding pockets on protein surfaces with a focus towards position and voxel channels.

Taotao Wang, Yue He, Fei Zhu

Expert Syst. Appl., October, 2023

A stable actor-critic algorithm for solving robotic tasks with multiple constraints.

Peiyao Zhao, Fei Zhu, Quan Liu, Xinghong Ling

Frontiers Comput. Sci., August, 2023

Seek for commonalities: Shared features extraction for multi-task reinforcement learning via adversarial training.

Jinling Meng, Fei Zhu

Expert Syst. Appl., August, 2023

Learning fair representations for accuracy parity.

Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li

Eng. Appl. Artif. Intell., March, 2023

PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk.

Fei Zhu, Lei Deng, Yuhao Dai, Guangyu Zhang, Fanwang Meng, Cheng Luo, Guang Hu, Zhongjie Liang

Briefings Bioinform., March, 2023

Integrating safety constraints into adversarial training for robust deep reinforcement learning.

Jinling Meng, Fei Zhu, Yangyang Ge, Peiyao Zhao

Inf. Sci., 2023

Prediction of post-translational modification cross-talk and mutation within proteins via imbalanced learning.

Lei Deng, Fei Zhu, Yue He, Fanwang Meng

Expert Syst. Appl., 2023

2022

Explore the weakness: Instructive exploration adversarial robust reinforcement learning.

Chunyang Wu, Fei Zhu, Quan Liu

J. King Saud Univ. Comput. Inf. Sci., 2022

Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models.

Fei Zhu, Sijie Yang, Fanwang Meng, Yuxiang Zheng, Xin Ku, Cheng Luo, Guang Hu, Zhongjie Liang

J. Chem. Inf. Model., 2022

Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations.

Lin Zhang, Fei Zhu, Xinghong Ling, Quan Liu

Inf. Sci., 2022

Learning fair representations by separating the relevance of potential information.

Tangkun Quan, Fei Zhu, Xinghong Ling, Quan Liu

Inf. Process. Manag., 2022

Improving deep reinforcement learning by safety guarding model via hazardous experience planning.

Pai Peng, Fei Zhu, Xinghong Ling, Peiyao Zhao, Quan Liu

Frontiers Comput. Sci., 2022

Within the scope of prediction: Shaping intrinsic rewards via evaluating uncertainty.

Xiaoshu Zhou, Fei Zhu, Peiyao Zhao

Expert Syst. Appl., 2022

Predicting before acting: improving policy quality by taking a vision of consequence.

Xiaoshu Zhou, Fei Zhu, Peiyao Zhao

Connect. Sci., 2022

Vital node searcher: find out critical node measure with deep reinforcement learning.

Guanting Du, Fei Zhu, Quan Liu

Connect. Sci., 2022

2021

ARAIL: Learning to rank from incomplete demonstrations.

Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao

Inf. Sci., 2021

Gradient temporal-difference learning for off-policy evaluation using emphatic weightings.

Jiaqing Cao, Quan Liu, Fei Zhu, Qiming Fu, Shan Zhong

Inf. Sci., 2021

PCLiON: An Ontology for Data Standardization and Sharing of Prostate Cancer Associated Lifestyles.

Yalan Chen, Chunjiang Yu, Xingyun Liu, Ting Xi, Guangfei Xu, Yan Sun, Fei Zhu, Bairong Shen

Int. J. Medical Informatics, 2021

Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification.

Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu

IEEE CAA J. Autom. Sinica, 2021

Improving exploration efficiency of deep reinforcement learning through samples produced by generative model.

Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao

Expert Syst. Appl., 2021

2020

A resource retrieval method of multimedia recommendation system based on deep learning.

Xiaofei Liu, Fei Zhu, Yuchen Fu, Quan Liu

Int. J. Auton. Adapt. Commun. Syst., 2020

Multi-agent cooperation Q-learning algorithm based on constrained Markov Game.

Yangyang Ge, Fei Zhu, Wei Huang, Peiyao Zhao, Quan Liu

Comput. Sci. Inf. Syst., 2020

2019

SARSA based access control with approximation by TileCoding.

Fei Zhu, Pai Peng, Quan Liu, Yuchen Fu, Shan Zhong

Comput. Sci. Inf. Syst., 2019

ECG Generation With Sequence Generative Adversarial Nets Optimized by Policy Gradient.

Fei Ye, Fei Zhu, Yuchen Fu, Bairong Shen

IEEE Access, 2019

Safe Q-Learning Method Based on Constrained Markov Decision Processes.

Yangyang Ge, Fei Zhu, Xinghong Ling, Quan Liu

IEEE Access, 2019

2018

NGS-FC: A Next-Generation Sequencing Data Format Converter.

Chunjiang Yu, Wentao Wu, Jing Wang, Yuxin Lin, Yang Yang, Jiajia Chen, Fei Zhu, Bairong Shen

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Deep Deterministic Policy Gradient with Clustered Prioritized Sampling.

Wen Wu, Fei Zhu, Yuchen Fu, Quan Liu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

A kernel based true online Sarsa(λ) for continuous space control problems.

Fei Zhu, Haijun Zhu, Yuchen Fu, Donghuo Chen, Xiaoke Zhou

Comput. Sci. Inf. Syst., 2017

2016

Learn to human-level control in dynamic environment using incremental batch interrupting temporal abstraction.

Yuchen Fu, Zhipeng Xu, Fei Zhu, Quan Liu, Xiaoke Zhou

Comput. Sci. Inf. Syst., 2016

A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample Sparsification.

Haijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, Jianwei Zhai, Cijia Sun, Peng Zhang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Human-level moving object recognition from traffic video.

Fei Zhu, Quan Liu, Shan Zhong, Yang Yang

Comput. Sci. Inf. Syst., 2015

A Bayesian Sarsa Learning Algorithm with Bandit-Based Method.

Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Protein-protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer.

Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Biomedical text mining and its applications in cancer research.

Fei Zhu, Preecha Patumcharoenpol, Cheng Zhang, Yang Yang, Jonathan H. Chan, Asawin Meechai, Wanwipa Vongsangnak, Bairong Shen

J. Biomed. Informatics, 2013