Biomedical text mining and its applications in cancer research. - Fei Zhu 003; Preecha Patumcharoenpol; Cheng Zhang; Yang Yang; Jonathan H. Chan; Asawin Meechai; Wanwipa Vongsangnak; Bairong Shen (J. Biomed. Informatics, 2013)

Protein-protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer. - Fei Zhu 003; Quan Liu 004; Xiaofang Zhang; Bairong Shen (BIBM, 2014)

A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. - Shuhua You; Quan Liu 004; Qi-ming Fu 001; Shan Zhong; Fei Zhu 003 (ICONIP (1), 2015)

Human-level moving object recognition from traffic video. - Fei Zhu 003; Quan Liu 004; Shan Zhong; Yang Yang (Comput. Sci. Inf. Syst., 2015)

A Kernel-Based Sarsa( lambda ) Algorithm with Clustering-Based Sample Sparsification. - Haijun Zhu; Fei Zhu 003; Yuchen Fu; Quan Liu 004; Jianwei Zhai; Cijia Sun; Peng Zhang (ICONIP (3), 2016)

Learn to human-level control in dynamic environment using incremental batch interrupting temporal abstraction. - Yuchen Fu; Zhipeng Xu; Fei Zhu 003; Quan Liu 004; Xiaoke Zhou (Comput. Sci. Inf. Syst., 2016)

A kernel based true online Sarsa(λ) for continuous space control problems. - Fei Zhu 003; Haijun Zhu; Yuchen Fu; Donghuo Chen; Xiaoke Zhou (Comput. Sci. Inf. Syst., 2017)

Deep Deterministic Policy Gradient with Clustered Prioritized Sampling. - Wen Wu; Fei Zhu 003; Yuchen Fu; Quan Liu 004 (ICONIP (2), 2018)

NGS-FC: A Next-Generation Sequencing Data Format Converter. - Chunjiang Yu; Wentao Wu 004; Jing Wang; Yuxin Lin; Yang Yang; Jiajia Chen; Fei Zhu 003; Bairong Shen (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Safe Q-Learning Method Based on Constrained Markov Decision Processes. - Yangyang Ge; Fei Zhu 003; Xinghong Ling; Quan Liu 004 (IEEE Access, 2019)

ECG Generation With Sequence Generative Adversarial Nets Optimized by Policy Gradient. - Fei Ye; Fei Zhu 003; Yuchen Fu; Bairong Shen (IEEE Access, 2019)

SARSA based access control with approximation by TileCoding. - Fei Zhu 003; Pai Peng; Quan Liu 004; Yuchen Fu; Shan Zhong (Comput. Sci. Inf. Syst., 2019)

Multi-agent cooperation Q-learning algorithm based on constrained Markov Game. - Yangyang Ge; Fei Zhu 003; Wei Huang; Peiyao Zhao; Quan Liu 004 (Comput. Sci. Inf. Syst., 2020)

A resource retrieval method of multimedia recommendation system based on deep learning. - Xiaofei Liu; Fei Zhu 003; Yuchen Fu; Quan Liu 004 (Int. J. Auton. Adapt. Commun. Syst., 2020)

Improving exploration efficiency of deep reinforcement learning through samples produced by generative model. - Dayong Xu; Fei Zhu 003; Quan Liu 004; Peiyao Zhao (Expert Syst. Appl., 2021)

Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. - Chenghao Liu; Fei Zhu 003; Quan Liu 004; Yuchen Fu (IEEE CAA J. Autom. Sinica, 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 003; Bairong Shen (Int. J. Medical Informatics, 2021)

Gradient temporal-difference learning for off-policy evaluation using emphatic weightings. - Jiaqing Cao; Quan Liu 004; Fei Zhu 003; Qiming Fu 001; Shan Zhong (Inf. Sci., 2021)

ARAIL: Learning to rank from incomplete demonstrations. - Dayong Xu; Fei Zhu 003; Quan Liu 004; Peiyao Zhao (Inf. Sci., 2021)

Vital node searcher: find out critical node measure with deep reinforcement learning. - Guanting Du; Fei Zhu 003; Quan Liu 004 (Connect. Sci., 2022)

Predicting before acting: improving policy quality by taking a vision of consequence. - Xiaoshu Zhou; Fei Zhu 003; Peiyao Zhao (Connect. Sci., 2022)

Within the scope of prediction: Shaping intrinsic rewards via evaluating uncertainty. - Xiaoshu Zhou; Fei Zhu 003; Peiyao Zhao (Expert Syst. Appl., 2022)

Improving deep reinforcement learning by safety guarding model via hazardous experience planning. - Pai Peng; Fei Zhu 003; Xinghong Ling; Peiyao Zhao; Quan Liu 004 (Frontiers Comput. Sci., 2022)

Learning fair representations by separating the relevance of potential information. - Tangkun Quan; Fei Zhu 003; Xinghong Ling; Quan Liu 004 (Inf. Process. Manag., 2022)

Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations. - Lin Zhang; Fei Zhu 003; Xinghong Ling; Quan Liu 004 (Inf. Sci., 2022)

Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models. - Fei Zhu 003; Sijie Yang; Fanwang Meng; Yuxiang Zheng; Xin Ku; Cheng Luo; Guang Hu 001; Zhongjie Liang (J. Chem. Inf. Model., 2022)

Explore the weakness: Instructive exploration adversarial robust reinforcement learning. - Chunyang Wu; Fei Zhu 003; Quan Liu 004 (J. King Saud Univ. Comput. Inf. Sci., 2022)

Prediction of post-translational modification cross-talk and mutation within proteins via imbalanced learning. - Lei Deng; Fei Zhu 003; Yue He; Fanwang Meng (Expert Syst. Appl., 2023)

Integrating safety constraints into adversarial training for robust deep reinforcement learning. - Jinling Meng; Fei Zhu 003; Yangyang Ge; Peiyao Zhao (Inf. Sci., 2023)

PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk. - Fei Zhu 003; Lei Deng; Yuhao Dai; Guangyu Zhang; Fanwang Meng; Cheng Luo; Guang Hu 001; Zhongjie Liang (Briefings Bioinform., 2023)

Learning fair representations for accuracy parity. - Tangkun Quan; Fei Zhu 003; Quan Liu 004; Fanzhang Li (Eng. Appl. Artif. Intell., 2023)

Seek for commonalities: Shared features extraction for multi-task reinforcement learning via adversarial training. - Jinling Meng; Fei Zhu 003 (Expert Syst. Appl., 2023)

A stable actor-critic algorithm for solving robotic tasks with multiple constraints. - Peiyao Zhao; Fei Zhu 003; Quan Liu 004; Xinghong Ling (Frontiers Comput. Sci., 2023)

SAPocket: Finding pockets on protein surfaces with a focus towards position and voxel channels. - Taotao Wang; Yue He; Fei Zhu 003 (Expert Syst. Appl., 2023)

Addressing implicit bias in adversarial imitation learning with mutual information. - Lihua Zhang; Quan Liu 004; Fei Zhu 003; Zhigang Huang (Neural Networks, 2023)

Hierarchical reinforcement learning with adaptive scheduling for robot control. - Zhigang Huang; Quan Liu 004; Fei Zhu 003 (Eng. Appl. Artif. Intell., 2023)

RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer. - Wenfeng Fan; Yue He; Fei Zhu 003 (Artif. Intell. Medicine, 2024)

Refine to the essence: Less-redundant skill learning via diversity clustering. - Shuai Qing; Fei Zhu 003 (Eng. Appl. Artif. Intell., 2024)

A model for predicting post-translational modification cross-talk based on the Multilayer Network. - Yuhao Dai; Lei Deng; Fei Zhu 003 (Expert Syst. Appl., 2024)

Hitting stride by degrees: Fine grained molecular generation via diffusion model. - Xinmiao Peng; Fei Zhu 003 (Expert Syst. Appl., 2024)

Goal-directed molecule generation with fine-tuning by policy gradient. - Chunli Sha; Fei Zhu 003 (Expert Syst. Appl., 2024)

Collaborative promotion: Achieving safety and task performance by integrating imitation reinforcement learning. - Cai Zhang; Xiaoxiong Zhang; Hui Zhang; Fei Zhu 003 (Expert Syst. Appl., 2024)

BAGAIL: Multi-modal imitation learning from imbalanced demonstrations. - Sijia Gu; Fei Zhu 003 (Neural Networks, 2024)

Multi-objective molecular generation via clustered Pareto-based reinforcement learning. - Jing Wang 134; Fei Zhu 003 (Neural Networks, 2024)

Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces. - Zhigang Huang; Quan Liu 004; Fei Zhu 003; Lihua Zhang; Lan Wu (Expert Syst. Appl., 2024)

Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. - Hao Lin; Yue He; Fanzhang Li; Quan Liu 004; Bangjun Wang; Fei Zhu 003 (Expert Syst. Appl., 2024)

RLUC: Strengthening robustness by attaching constraint considerations to policy network. - Jianmin Tang; Quan Liu 004; Fanzhang Li; Fei Zhu 003 (Expert Syst. Appl., 2024)

Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. - Weicheng Xiong; Quan Liu 004; Fanzhang Li; Bangjun Wang; Fei Zhu 003 (Expert Syst. Appl., 2024)

Draw on advantages and avoid disadvantages by making a multi-step prediction. - Guofeng Zhu; Fei Zhu 003 (Expert Syst. Appl., 2024)

GraphCF: Drug-target interaction prediction via multi-feature fusion with contrastive graph neural network. - Dianlei Gao; Fei Zhu 003 (Artif. Intell. Medicine, 2025)

Reconstruction of dynamic protein-protein interaction network via graph convolutional network. - Yue He; Fei Zhu 003 (Expert Syst. Appl., 2025)

ExSelfRL: An exploration-inspired self-supervised reinforcement learning approach to molecular generation. - Jing Wang 134; Fei Zhu 003 (Expert Syst. Appl., 2025)

Scaffold-driven molecular generation via reinforced RNN with centroid distance evaluation. - Xingzheng Zhu; Zhihong Zhao; Fei Zhu 003 (Expert Syst. Appl., 2025)

Improving robustness by action correction via multi-step maximum risk estimation. - Qinglong Chen; Kun Ding; Xiaoxiong Zhang; Hui Zhang; Fei Zhu 003 (Neural Networks, 2025)

CoSD: Balancing behavioral consistency and diversity in unsupervised skill discovery. - Shuai Qing; Yi Sun; Kun Ding; Hui Zhang; Fei Zhu 003 (Neural Networks, 2025)