2024
1.Chunli Sha(硕士生),Fei Zhu*,Goal-directed molecule generation with fine-tuning by policy gradient,Expert Systems With Applications,2024,Volume 246,123127SCI 一区 TOP期刊
2.Xinmiao Peng(硕士生),Fei Zhu*, Hitting stride by degrees: Fine grained molecular generation via diffusion model,Expert Systems With Applications,2024,Volume 244,122949SCI 一区 TOP期刊
3.Shuai Qing(硕士生),Fei Zhu*, Refine to the Essence: Less-redundant Skill Learning via Diversity Clustering To be published in: Engineering Applications of Artificial Intelligence, Engineering Applications of Artificial Intelligence,2024,Volume 133,107981, SCI 二区 TOP期刊
4.Wenfeng Fan(硕士生), Yue He, Fei Zhu*,RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer,Artificial Intelligence in Medicine, 2024, Volume 150,102827, SCI 二区
5.Sijia Gu(硕士生),Fei Zhu*,BAGAIL: Multi-modal Imitation Learning from Imbalanced Demonstrations,Neural Networks, 录用, SCI 一区 TOP期刊
2023
1.Weicheng Xiong(硕士生),et al., Fei Zhu*,Personalized Federated Reinforcement Learning: Balancing Personalization and Experience Sharing via Distance Constraint,Expert Systems With Applications, 2024,Volume 238, 122290 SCI 一区 TOP期刊
2.Hao Lin(硕士生),et al., Fei Zhu*,Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments,Expert Systems With Applications,2024, Volume 238, 122145SCI 一区 TOP期刊
3.Zhongjie Liang#,Tonghai Liu#, Qi Li#, Guangyu Zhang#(硕士生,共同一作),Bei Zhang, Xikun Du, Jingqiu Liu, Zhifeng Chen, Hong Ding, Guang Hu, Hao Lin, Fei Zhu*, Qiang Luo*(共同通信), Deciphering the functional landscape of phosphosites with deep neural network, Cell Reports, 2023,42(9):113048 SCI 一区 TOP期刊
4.Jianmin Tang(硕士生),et al.,Fei Zhu*,RLUC: Strengthening robustness by attaching constraint considerations to policy network,Expert Systems With Applications, 2024,Volume 237, 121475SCI 一区 TOP期刊
5.Guofeng Zhu(硕士生), Fei Zhu*, Draw on advantages and avoid disadvantages by making a multi-step prediction,Expert Systems With Applications, 2024, Volume 237, 121345SCI 一区 TOP期刊
6.Tangkun Quan(硕士生), Fei Zhu*, et. al. Learning Fair Representations for Accuracy Parity,Engineering Applications of Artificial Intelligence,2023, Volume 119, 105819, SCI 二区 TOP期刊
7.Fei Zhu, Lei Deng,et al. PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk, Briefings in Bioinformatics, 2023, 24(2):bbad052, SCI 二区 生物信息顶刊
8.Jinling Meng(硕士生),Fei Zhu*, Lei Deng,et al. Seek for Commonalities: Shared Features Extraction for Multi-task Reinforcement Learning via Adversarial Training, Expert Systems With Applications, 2023,Volume 224, 119975SCI 一区 TOP期刊
9.Taotao Wang(硕士生),Fei Zhu*. SAPocket: Finding pockets on protein surfaces with a focus towards position and voxel channels, Expert Systems With Applications, 2023,Volume 227, 120235SCI 一区 TOP期刊
10.Peiyao Zhao(硕士生), Fei Zhu*, et al.A stable actor-critic algorithm for solving robotic tasks with multiple constraints,2023, Vol.17,Issue (4): 174328. CCF B类推荐期刊
11.Jinling Meng(硕士生), Fei Zhu*, et al. Integrating safety constraints into adversarial training for robust deep reinforcement learning,Information Sciences,Volume 619, January 2023, Pages 310-323,SCI 一区 TOP期刊
12.Lei Deng(硕士生), Fei Zhu*, et al. Prediction of post-translational modification cross-talk and mutation within proteins via imbalanced learning,Expert Systems With Applications, 2023, Volume 211,118593,SCI 一区 TOP期刊
2022
1.Lin Zhang(硕士生), Fei Zhu*, et al. Best-in-Class Imitation: Non-Negative PU Imitation Learning from Imperfect Demonstrations, Information Sciences, 2022,601:71-89 SCI 一区
2.Fei Zhu,Feifei Li,et al.Protein Interaction Network Reconstruction with a Structural Gated Attention Deep Model by Incorporating Network Structure Information, Journal of Chemical Information and Modeling ,2022,62,2,258-273 SCI 二区
3.Tangkun Quan(硕士生), Fei Zhu*, Xinghong Ling, Quan Liu,Learning fair representations by separating the relevance of potential information,Information Processing and Management, 2022,59:103103 SCI 一区 TOP期刊
4.朱斐, 葛洋洋,凌兴宏,刘全.基于受限MDP的无模型安全强化学习方法.软件学报,2022.8
5.Xiaoshu Zhou(硕士生),Fei Zhu*,et al.Within the Scope of Prediction: Shaping Intrinsic Rewards via Evaluating Uncertainty, Expert Systems With Applications, 2022, 6:117775, SCI 一区 TOP期刊
6.Chunyang Wu(硕士生), Fei Zhu*, Quan Liu, Explore the weakness: instructive exploration adversarial robust reinforcement learning, Journal of King Saud University - Computer and Information Sciences,Available online 9 August 2022,SCI 二区
7.Fei Zhu, SijieYang(硕士生),et al. Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models, Journal of Chemical Information and Modeling ,July 11, 2022, SCI 二区
8.Fan Ding(硕士生), Fei Zhu*. HLifeRL:A Hierarchical Lifelong Reinforcement Learning Framework,Journal of King Saud University-Computer and Information Sciences,2022,5.10 SCI二区
2021
1.Dayong Xu(硕士生),Fei Zhu*,et al.Improving Exploration Efficiency of Deep Reinforcement Learning through Samples Produced by Generative Model, Expert Systems With Applications, 2021,185(15):1-8 SCI 一区 TOP期刊
2.Dayong Xu(硕士生), Fei Zhu*,et al.ARAIL: Learning to rank from incomplete demonstrations, Information Sciences,2021,565:422–437. SCI 一区
3.刘成浩(硕士生),朱斐*,刘全.基于优化子目标数的Option-Critic算法,计算机学报,2021,44(9):1922-1933
4.Liu Chenghao(硕士生),Zhu Fei*, et al. Hierarchical Reinforcement Learning with Automatic Sub-goal Identification. IEEE/CAA Journal of Automatica Sinica, 2021,8(10):1686-1696,SCI 一区 TOP期刊
5.Pai Peng(硕士生), Fei Zhu*,PeiyaoZhao,Quan Liu. Achieving Safe Deep Reinforcement Learning via Environment Comprehension Mechanism,电子学报(英文版),2021,30(1):1-10,SCI 四区
6.Pai Peng(硕士生), Fei Zhu*, et al.Improving Deep Reinforcement Learning by Safety Guarding Model via Hazardous Experience Planning, Frontiers of Computer Science,SCI 二区,已录用
7.Sijie Yang(硕士生), Fei Zhu, Xinghong Ling, et al. Intelligent Healthcare: Applications of Deep Learning in Computational Medicine, Frontiers in Genetics, SCI 三区
2020
1.凌兴宏, 李杰, 朱斐*,等.基于双重注意力机制的异步优势行动者评论家算法.计算机学报, 2020,43(1):93-106
2.Feifei Li(硕士生), Fei Zhu*, Xinghong Ling and Quan Liu.Protein Interaction Network Reconstruction Through Ensemble Deep Learning With Attention Mechanism, Front. Bioeng. Biotechnol., 2020.5 SCI 二区
3.Yangyang Ge(硕士生), Fei Zhu*, et al.Multi-Agent Cooperation Q-Learning Algorithm Based on Constrained Markov Game. Computer Science and Information Systems,2020,17(2):647–664 SCI 四区
2019
1.朱斐,吴文,伏玉琛,刘全.一种基于双深度网络的安全深度强化学习方法. 计算机学报,2019,42(8): 1812-1826
2.Fei Zhu, Fei Ye, Yuchen Fu, Quan Liu, Bairong Shen. Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network. Nature, Scientific Reports, 2019.5, 1-11 SCI 三区
3. Fei Ye(硕士生), Fei Zhu*, Yuchen Fu, Bairong Shen. ECG Generation with Sequence Generative Adversarial Nets Optimized by Policy Gradient, IEEE Access, 2019, 7(1):69-78 SCI 二区
4.Yangyang Ge(硕士生), Fei Zhu*, Xinghong Lin, Quan Liu. Safe Q-Learning Method Based on Constrained Markov Decision Processes, IEEE Access, 2019, 7(12):7-17 SCI 二区
5. Fei Zhu, Pai Peng, Quan Liu, Yuchen Fu, Shan Zhong. SARSA Based Access Control with Approximation by TileCoding, Computer Science and Information Systems, 2019, 16(3):689-704 SCI 四区
2018
1. 朱斐,朱海军,刘全,陈冬火,伏玉琛,凌兴宏. 一种解决连续空间问题的真实在线自然梯度AC算法. 软件学报, 2018(2):267-282
2. 朱斐,吴文,刘全,伏玉琛.一种最大置信上界经验采样的深度Q网络方法,计算机研究与发展, 2018, 55(8): 1694-1705
2017
1. 朱斐,刘全,傅启明,陈冬火,王辉,伏玉琛. 一种不稳定环境下的策略搜索及迁移方法.电子学报,2017,45(2): 255-266
2. Zhu Fei, Zhu, Haijun, Fu Yuchen, et al. A kernel based true online Sarsa(λ) for continuous space control problems. Computer Science and Information Systems,2017,14(3):789–804 SCI 四区
2016
1. 朱斐, 许志鹏, 刘全, 伏玉琛, 王辉. 基于可中断Option的在线分层强化学习方法. 通信学报, 2016,37(6): 65-74
2. Yuchen Fu, Zhipeng Xu, Fei Zhu*, Quan Liu, Xiaoke Zhou. Learn to human-level control indynamicenvironmentusing incremental batch interrupting temporal abstraction.Computer Science and Information Systems, 2016, 13(2): 561-577 SCI 四区
3. 陈冬火,刘全,金海东,朱斐,王辉. 一种具有程序静态结构和动态行为语义的区间时序逻辑. 计算机研究与发展, 2016, 53(9): 2067-2084
4. 刘全,于俊,王辉,傅启明,朱斐. 一种基于随机投影的贝叶斯时间差分算法. 电子学报, 2016, 44(11): 2752-2757
5. Haijun Zhu(硕士生), Fei Zhu, Yuchen Fu, et al. AKernel-Based Sarsa(λ) Algorithm with Clustering-Based Sample Sparsification. ICONIP 2016, LNCS, 2016, pp. 211-220
2015
1. Fei Zhu, Quan Liu, Shan Zhong, Yang Yang. Human-level Moving Object Recognition from Traffic Video. Computer Science and Information Systems,2015, 12(2): 787-799 SCI 四区
2. Zhu Fei, Liu Quan, Zhang Xiaofang, Shen Bairong. Protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer, IET Systems Biology,2015, 9(4):106-112 SCI 三区
3. Shuhua You(硕士生), Quan Liu, Qiming Fu, Shan Zhong, Fei Zhu. A Bayesian Sarsa Learning Algorithm with Bandit-Based Method, ICONIP 2015, LNCS, 2015, pp. 108-116
2014
1. 朱斐,刘全,傅启明,伏玉琛. 一种用于连续动作空间的最小二乘行动者-评论家方法,计算机研究与发展, 2014, 51(3): 548-558
2. Zhu Fei, Liu Quan, Fu Yuchen, Shen Bairong. Segmentation of Neuronal Structures Using SARSA(λ)-Based Boundary Amendment with ReinforcedGradient-Descent Curve Shape Fitting. PLOS One, 2014, 9(3):1-19 SCI 二区
3. Fei Zhu, Preecha Patumcharoenpol,Cheng Zhang, et al. Biomedical text mining and its applications in cancer research. Journal of Biomedical Informatics, 2013, 46(2): 197-376 SCI 二区
4. Quan Liu, Xin Zhou, Fei Zhu*, Qiming Fu, Yuchen Fu. Experience Replay for Least-Squares Policy Iteration,自动化学报(英文版), 2014, 1(3): 274-281
5. 钟珊,刘全,傅启明,章宗长,朱斐,龚声蓉. 一种近似模型表示的启发式Dyna优化算法. 计算机研究与发展, 2015, 52(12): 2764-2775
6. 刘全,肖飞,傅启明,伏玉琛,周小科,朱斐. 基于自适应归一化RBF网络的Q-V值函数协同逼近模型. 计算机学报, 2015(7):1386-1396.
7. Jing Shang,Fei Zhu, Wanwipa Vongsangnak, Yifei Tang, Wenyu Zhang, and Bairong Shen. Evaluation and Comparison of Multiple Aligners for Next-Generation Sequencing Data Analysis. BioMed Research International, 2014.3, 2014(3):1-17
2012
1. Fei Zhu, Bairong Shen. CombinedSVM-CRFs for biological named entity recognition with maximal bidirectionalsqueezing. PLOS One, 2012, 7(6):1-9 SCI 二区
2. Zhu Fei, Jiamin Ning, Yong Ren, and Jingyu Peng. Optimization of image processing in video-based traffic monitoring. Elektronika ir Elektrotechnika18, 2012, No.8: 91-96 SCI 四区