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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Fei Zhu 0001
![[0000-0002-8113-3707]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8113-3707")
— Tianjin University, Center for Applied Mathematics, China (and 1 more)
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2020 – today
- 2025
[j98]Yue He, Fei Zhu:
Reconstruction of dynamic protein-protein interaction network via graph convolutional network. Expert Syst. Appl. 259: 125140 (2025)- [j97]Jing Wang, Fei Zhu:
ExSelfRL: An exploration-inspired self-supervised reinforcement learning approach to molecular generation. Expert Syst. Appl. 260: 125410 (2025) - [j96]Shuai Qing, Yi Sun, Kun Ding, Hui Zhang, Fei Zhu:
CoSD: Balancing behavioral consistency and diversity in unsupervised skill discovery. Neural Networks 182: 106889 (2025) - [j95]Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang:
Towards trustworthy dataset distillation. Pattern Recognit. 157: 110875 (2025) - [j94]Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Ming-Ming Yu, Chuang Wang, Cheng-Lin Liu:
Class incremental learning with self-supervised pre-training and prototype learning. Pattern Recognit. 157: 110943 (2025) - 2024
- [j93]Wenfeng Fan, Yue He, Fei Zhu:
RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer. Artif. Intell. Medicine 150: 102827 (2024) - [j92]Chang Dou, Yijie Yang, Fei Zhu, Bingzhi Li, Yuping Duan:
Explorer: efficient DNA coding by De Bruijn graph toward arbitrary local and global biochemical constraints. Briefings Bioinform. 25(5) (2024) - [j91]Yuhao Dai, Fei Zhu:
TRL-PROTAC: A pre-trained generator of PROTACs targeting specific proteins optimized by reinforcement learning. Comput. Sci. Inf. Syst. 21(4): 1293-1320 (2024) - [j90]Shuai Qing, Fei Zhu:
Refine to the essence: Less-redundant skill learning via diversity clustering. Eng. Appl. Artif. Intell. 133: 107981 (2024) - [j89]Guofeng Zhu, Fei Zhu:
Draw on advantages and avoid disadvantages by making a multi-step prediction. Expert Syst. Appl. 237(Part A): 121345 (2024) - [j88]Zhigang Huang, Quan Liu, Fei Zhu, Lihua Zhang, Lan Wu:
Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces. Expert Syst. Appl. 237(Part B): 121467 (2024) - [j87]Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu:
RLUC: Strengthening robustness by attaching constraint considerations to policy network. Expert Syst. Appl. 237(Part B): 121475 (2024) - [j86]Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu:
Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. Expert Syst. Appl. 238(Part E): 122145 (2024) - [j85]Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu:
Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. Expert Syst. Appl. 238(Part F): 122290 (2024) - [j84]Xinmiao Peng, Fei Zhu:
Hitting stride by degrees: Fine grained molecular generation via diffusion model. Expert Syst. Appl. 244: 122949 (2024) - [j83]Chunli Sha, Fei Zhu:
Goal-directed molecule generation with fine-tuning by policy gradient. Expert Syst. Appl. 246: 123127 (2024) - [j82]Yuhao Dai, Lei Deng, Fei Zhu:
A model for predicting post-translational modification cross-talk based on the Multilayer Network. Expert Syst. Appl. 255: 124770 (2024) - [j81]Cai Zhang, Xiaoxiong Zhang, Hui Zhang, Fei Zhu:
Collaborative promotion: Achieving safety and task performance by integrating imitation reinforcement learning. Expert Syst. Appl. 255: 124820 (2024) - [j80]Fei Zhu, Duan Guo, Sharif Abuadbba, Xun Yi, Junwei Luo, Saru Kumari, Tao Peng:
Lightweight Verifiable Privacy-Preserving Data Aggregation for Smart Grids. IEEE Internet Things J. 11(19): 31249-31259 (2024) - [j79]Sijia Gu, Fei Zhu:
BAGAIL: Multi-modal imitation learning from imbalanced demonstrations. Neural Networks 174: 106251 (2024) - [j78]Jing Wang, Fei Zhu:
Multi-objective molecular generation via clustered Pareto-based reinforcement learning. Neural Networks 179: 106596 (2024) - [j77]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
Revisiting Confidence Estimation: Towards Reliable Failure Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3370-3387 (2024) - [j76]Cuiping Shi, Kaijie Shi, Fei Zhu, Zexin Zeng, Liguo Wang:
Multihead Global Attention and Spatial Spectral Information Fusion for Remote Sensing Image Compression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 999-1015 (2024) - [j75]Cuiping Shi, Kaijie Shi, Fei Zhu, Zexin Zeng, Mengxiang Ding, Zhan Jin:
An Enhanced Global Feature-Guided Network Based on Multiple Filtering Noise Reduction for Remote Sensing Image Compression. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j74]Cuiping Shi, Kaijie Shi, Fei Zhu, Zexin Zeng, Liguo Wang:
A Multilevel Domain Similarity Enhancement Guided Network for Remote Sensing Image Compression. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j73]Cuiping Shi, Shuheng Yue, Haiyang Wu, Fei Zhu, Liguo Wang:
A Multihop Graph Rectify Attention and Spectral Overlap Grouping Convolutional Fusion Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j72]Zhiyuan Rao, Lin You, Gengran Hu, Fei Zhu:
EBDTS: An Efficient BCoT-Based Data Trading System Using PUF for Authentication. IEEE Trans. Netw. Serv. Manag. 21(5): 5795-5808 (2024) - [c48]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang:
RCL: Reliable Continual Learning for Unified Failure Detection. CVPR 2024: 12140-12150 - [c47]Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu:
Active Generalized Category Discovery. CVPR 2024: 16890-16900 - [c46]Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. ECCV (65) 2024: 141-159 - [c45]Fei Zhu, Wanqian Zhang, Dayan Wu, Lin Wang, Bo Li, Weiping Wang:
Exploring Targeted Universal Adversarial Attack for Deep Hashing. ICASSP 2024: 3335-3339 - [c44]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization. ICPR (26) 2024: 423-439 - [i22]Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Federated Class-Incremental Learning with Prototype Guided Transformer. CoRR abs/2401.02094 (2024) - [i21]Fei Zhu, Shijie Ma, Zhen Cheng, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu:
Open-world Machine Learning: A Review and New Outlooks. CoRR abs/2403.01759 (2024) - [i20]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
Revisiting Confidence Estimation: Towards Reliable Failure Prediction. CoRR abs/2403.02886 (2024) - [i19]Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu:
Active Generalized Category Discovery. CoRR abs/2403.04272 (2024) - [i18]Hongbo Zhao, Bolin Ni, Haochen Wang, Junsong Fan, Fei Zhu, Yuxi Wang, Yuntao Chen, Gaofeng Meng, Zhaoxiang Zhang:
Continual Forgetting for Pre-trained Vision Models. CoRR abs/2403.11530 (2024) - [i17]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. CoRR abs/2403.18266 (2024) - [i16]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. CoRR abs/2403.18291 (2024) - [i15]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Multi-scale Unified Network for Image Classification. CoRR abs/2403.18294 (2024) - [i14]Xiaolin Qin, Jiacen Liu, Qianlei Wang, Shaolin Zhang, Fei Zhu, Zhang Yi:
Fourier Boundary Features Network with Wider Catchers for Glass Segmentation. CoRR abs/2405.09459 (2024) - [i13]Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu:
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. CoRR abs/2405.18240 (2024) - [i12]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. CoRR abs/2407.14029 (2024) - [i11]Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang:
Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts. CoRR abs/2409.04796 (2024) - [i10]Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu:
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models. CoRR abs/2410.05849 (2024) - [i9]Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. CoRR abs/2410.06535 (2024) - 2023
- [j71]Fei Zhu, Lei Deng, Yuhao Dai, Guangyu Zhang, Fanwang Meng, Cheng Luo, Guang Hu, Zhongjie Liang:
PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk. Briefings Bioinform. 24(2) (2023) - [j70]Fei Zhu, Sheng Wang, Dun Li, Qiang Li:
Similarity attention-based CNN for robust 3D medical image registration. Biomed. Signal Process. Control. 81: 104403 (2023) - [j69]Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li:
Learning fair representations for accuracy parity. Eng. Appl. Artif. Intell. 119: 105819 (2023) - [j68]Zhigang Huang, Quan Liu, Fei Zhu:
Hierarchical reinforcement learning with adaptive scheduling for robot control. Eng. Appl. Artif. Intell. 126(Part D): 107130 (2023) - [j67]Lei Deng, Fei Zhu, Yue He, Fanwang Meng:
Prediction of post-translational modification cross-talk and mutation within proteins via imbalanced learning. Expert Syst. Appl. 211: 118593 (2023) - [j66]Jinling Meng, Fei Zhu:
Seek for commonalities: Shared features extraction for multi-task reinforcement learning via adversarial training. Expert Syst. Appl. 224: 119975 (2023) - [j65]Taotao Wang, Yue He, Fei Zhu:
SAPocket: Finding pockets on protein surfaces with a focus towards position and voxel channels. Expert Syst. Appl. 227: 120235 (2023) - [j64]Peiyao Zhao, Fei Zhu, Quan Liu, Xinghong Ling:
A stable actor-critic algorithm for solving robotic tasks with multiple constraints. Frontiers Comput. Sci. 17(4): 174328 (2023) - [j63]Rui-Qi Wang, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Training with scaled logits to alleviate class-level over-fitting in few-shot learning. Neurocomputing 522: 142-151 (2023) - [j62]Jinling Meng, Fei Zhu, Yangyang Ge, Peiyao Zhao:
Integrating safety constraints into adversarial training for robust deep reinforcement learning. Inf. Sci. 619: 310-323 (2023) - [j61]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Imitating the oracle: Towards calibrated model for class incremental learning. Neural Networks 164: 38-48 (2023) - [j60]Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang:
Addressing implicit bias in adversarial imitation learning with mutual information. Neural Networks 167: 847-864 (2023) - [j59]Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu:
Learning by Seeing More Classes. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7477-7493 (2023) - [j58]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Adversarial training with distribution normalization and margin balance. Pattern Recognit. 136: 109182 (2023) - [j57]Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Dynamics-aware loss for learning with label noise. Pattern Recognit. 144: 109835 (2023) - [j56]Fei Zhu, Xun Yi, Alsharif Abuadbba, Ibrahim Khalil, Xinyi Huang, Feihong Xu:
A Security-Enhanced Certificateless Conditional Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks. IEEE Trans. Intell. Transp. Syst. 24(10): 10456-10466 (2023) - [j55]Shi Dong, Huadong Su, Yuanjun Xia, Fei Zhu, Xinrong Hu, Bangchao Wang:
A Comprehensive Survey on Authentication and Attack Detection Schemes That Threaten It in Vehicular Ad-Hoc Networks. IEEE Trans. Intell. Transp. Syst. 24(12): 13573-13602 (2023) - [j54]Fei Zhu, Xun Yi, Alsharif Abuadbba, Ibrahim Khalil, Surya Nepal, Xinyi Huang:
Authenticated Data Sharing With Privacy Protection and Batch Verification for Healthcare IoT. IEEE Trans. Sustain. Comput. 8(1): 32-42 (2023) - [c43]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CVPR 2023: 12074-12083 - [c42]Xiaoshuai Hao, Wanqian Zhang, Dayan Wu, Fei Zhu, Bo Li:
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval. CVPR 2023: 18962-18972 - [c41]Taoman Li, Fei Zhu, Zihan Gan, Zexing Zhou, Xiaotao Wang, Renzhi Lu:
Cooperative Target-Surrounding Control of Unmanned Surface Vessels Based on MADDPG. IECON 2023: 1-6 - [c40]Fei Zhu, Wanqian Zhang, Dayan Wu, Lin Wang, Bo Li, Weiping Wang:
Targeted Transferable Attack against Deep Hashing Retrieval. MMAsia 2023: 48:1-48:7 - [c39]Tao Peng, Shixu Chen, Fei Zhu, Junwei Tang, Junping Liu, Xinrong Hu:
PTLVD:Program Slicing and Transformer-based Line-level Vulnerability Detection System. SCAM 2023: 162-173 - [c38]Sinuo Liu, Xiaojuan Ban, Sheng Li, Haokai Zeng, Xiaokun Wang, Yanrui Xu, Fei Zhu, Guoping Wang:
FluidPlaying: Efficient Adaptive Simulation for Highly Dynamic Fluid. VR Workshops 2023: 831-832 - [i8]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. CoRR abs/2303.01201 (2023) - [i7]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. CoRR abs/2303.02970 (2023) - [i6]Tingting Fang, Fei Zhu, Jie Chen:
Nonlinear Hyperspectral Unmixing based on Multilinear Mixing Model using Convolutional Autoencoders. CoRR abs/2303.08156 (2023) - [i5]Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu:
Dynamics-Aware Loss for Learning with Label Noise. CoRR abs/2303.11562 (2023) - [i4]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CoRR abs/2303.17093 (2023) - [i3]Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang:
Towards Trustworthy Dataset Distillation. CoRR abs/2307.09165 (2023) - [i2]Wenzhuo Liu, Xinjian Wu, Fei Zhu, Mingming Yu, Chuang Wang, Cheng-Lin Liu:
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning. CoRR abs/2308.02346 (2023) - 2022
- [j53]Fei Zhu, Xun Yi, Alsharif Abuadbba, Ibrahim Khalil, Surya Nepal, Xinyi Huang:
Forward-Secure Edge Authentication for Graphs. Comput. J. 65(7): 1653-1665 (2022) - [j52]Xiaoshu Zhou, Fei Zhu, Peiyao Zhao:
Predicting before acting: improving policy quality by taking a vision of consequence. Connect. Sci. 34(1): 608-629 (2022) - [j51]Guanting Du, Fei Zhu, Quan Liu:
Vital node searcher: find out critical node measure with deep reinforcement learning. Connect. Sci. 34(1): 1519-1539 (2022) - [j50]Xiaoshu Zhou, Fei Zhu, Peiyao Zhao:
Within the scope of prediction: Shaping intrinsic rewards via evaluating uncertainty. Expert Syst. Appl. 206: 117775 (2022) - [j49]Pai Peng, Fei Zhu, Xinghong Ling, Peiyao Zhao, Quan Liu:
Improving deep reinforcement learning by safety guarding model via hazardous experience planning. Frontiers Comput. Sci. 16(4): 164320 (2022) - [j48]Qingrong Liu, Fei Zhu, Xianfu Zhang, Hanfeng Li:
Global regulation by output feedback for feedforward systems with time delays. Int. J. Control 95(11): 2924-2930 (2022) - [j47]Fei Zhu, Xun Yi, Alsharif Abuadbba, Ibrahim Khalil, Surya Nepal, Xinyi Huang, Xingfu Yan:
Certificate-Based Anonymous Authentication With Efficient Aggregation for Wireless Medical Sensor Networks. IEEE Internet Things J. 9(14): 12209-12218 (2022) - [j46]Fei Zhu, Feihong Xu, Xu Yang, Xun Yi, Alsharif Abuadbba:
Cryptanalysis and improvements of an efficient certificate-based proxy signature scheme for IIoT environments. Inf. Process. Lett. 173: 106170 (2022) - [j45]Tangkun Quan, Fei Zhu, Xinghong Ling, Quan Liu:
Learning fair representations by separating the relevance of potential information. Inf. Process. Manag. 59(6): 103103 (2022) - [j44]Lin Zhang, Fei Zhu, Xinghong Ling, Quan Liu:
Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations. Inf. Sci. 601: 71-89 (2022) - [j43]Fei Zhu, Feifei Li, Lei Deng, Fanwang Meng, Zhongjie Liang:
Protein Interaction Network Reconstruction with a Structural Gated Attention Deep Model by Incorporating Network Structure Information. J. Chem. Inf. Model. 62(2): 258-273 (2022) - [j42]Fei Zhu, Sijie Yang, Fanwang Meng, Yuxiang Zheng, Xin Ku, Cheng Luo, Guang Hu, Zhongjie Liang:
Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models. J. Chem. Inf. Model. 62(14): 3331-3345 (2022) - [j41]Fan Ding, Fei Zhu:
HLifeRL: A hierarchical lifelong reinforcement learning framework. J. King Saud Univ. Comput. Inf. Sci. 34(7): 4312-4321 (2022) - [j40]Chunyang Wu, Fei Zhu, Quan Liu:
Explore the weakness: Instructive exploration adversarial robust reinforcement learning. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8152-8161 (2022) - [c37]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. ECCV (25) 2022: 518-536 - [c36]Fei Zhu, Xun Yi, Alsharif Abuadbba, Junwei Luo, Surya Nepal, Xinyi Huang:
Efficient Hash-Based Redactable Signature for Smart Grid Applications. ESORICS (3) 2022: 554-573 - [c35]Xiaoshuai Hao, Wanqian Zhang, Dayan Wu, Fei Zhu, Bo Li:
Listen and Look: Multi-Modal Aggregation and Co-Attention Network for Video-Audio Retrieval. ICME 2022: 1-6 - [c34]Lin Wang, Wanqian Zhang, Dayan Wu, Fei Zhu, Bo Li:
Attack is the Best Defense: Towards Preemptive-Protection Person Re-Identification. ACM Multimedia 2022: 550-559 - [c33]Jianghua Liu, Lei Xu, Bruce Gu, Lei Cui, Fei Zhu:
Efficient and Fine-Grained Sharing of Signed Healthcare Data in Smart Healthcare. NSS 2022: 443-458 - [c32]Tao Wang, Xiaoyu Zhang, Yulin Jin, Chenyang Chen, Fei Zhu:
Patch-Based Backdoors Detection and Mitigation with Feature Masking. SocialSec 2022: 229-246 - [i1]Yun Qin, Fei Zhu, Bo Xi:
Robust Multi-Read Reconstruction from Contaminated Clusters Using Deep Neural Network for DNA Storage. CoRR abs/2210.11106 (2022) - 2021
- [j39]Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao:
Improving exploration efficiency of deep reinforcement learning through samples produced by generative model. Expert Syst. Appl. 185: 115680 (2021) - [j38]Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu:
Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. IEEE CAA J. Autom. Sinica 8(10): 1686-1696 (2021) - [j37]Yalan Chen, Chunjiang Yu, Xingyun Liu, Ting Xi, Guangfei Xu, Yan Sun, Fei Zhu, Bairong Shen:
PCLiON: An Ontology for Data Standardization and Sharing of Prostate Cancer Associated Lifestyles. Int. J. Medical Informatics 145: 104332 (2021) - [j36]Fei Zhu, Xianfu Zhang, Hanfeng Li:
Event-triggered decentralised control for large-scale systems with actuator failures. Int. J. Syst. Sci. 52(7): 1414-1425 (2021) - [j35]Fei Zhu, Xun Yi, Alsharif Abuadbba, Ibrahim Khalil, Surya Nepal, Xinyi Huang:
Cost-Effective Authenticated Data Redaction With Privacy Protection in IoT. IEEE Internet Things J. 8(14): 11678-11689 (2021) - [j34]Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao:
ARAIL: Learning to rank from incomplete demonstrations. Inf. Sci. 565: 422-437 (2021) - [j33]Jiaqing Cao, Quan Liu, Fei Zhu, Qiming Fu, Shan Zhong:
Gradient temporal-difference learning for off-policy evaluation using emphatic weightings. Inf. Sci. 580: 311-330 (2021) - [j32]Fei Zhu, Xingxing Zhu, Zhiwen Huang, Mingyue Ding, Qiang Li, Xuming Zhang:
Deep learning based data-adaptive descriptor for non-rigid multi-modal medical image registration. Signal Process. 183: 108023 (2021) - [j31]Jing Zhao, Fei Zhu, Liyou Xu, Yong Tang, Sheng Li:
A homogenization method for nonlinear inhomogeneous elastic materials. Virtual Real. Intell. Hardw. 3(2): 156-170 (2021) - [c31]Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu:
Prototype Augmentation and Self-Supervision for Incremental Learning. CVPR 2021: 5871-5880 - [c30]Fei Zhu, Shushu Liu, Junhua Fang, An Liu:
Incentive-aware Task Location in Spatial Crowdsourcing. DASFAA (1) 2021: 650-657 - [c29]Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Calibration for Non-Exemplar Based Class-Incremental Learning. ICME 2021: 1-6 - [c28]Hongkuan Shi, Zhiwei Wang, Jinxin Lv, Yilang Wang, Peng Zhang, Fei Zhu, Qiang Li:
Semi-supervised Learning via Improved Teacher-Student Network for Robust 3D Reconstruction of Stereo Endoscopic Image. ACM Multimedia 2021: 4661-4669 - [c27]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Class-Incremental Learning via Dual Augmentation. NeurIPS 2021: 14306-14318 - 2020
- [j30]Zizhu Tian, Yuchun Huang, Fei Zhu, Yaowei Ma:
The Extrinsic Calibration of Area-Scan Camera and 2D Laser Rangefinder (LRF) Using Checkerboard Trihedron. IEEE Access 8: 36166-36179 (2020) - [j29]Yangyang Ge, Fei Zhu, Wei Huang, Peiyao Zhao, Quan Liu:
Multi-agent cooperation Q-learning algorithm based on constrained Markov Game. Comput. Sci. Inf. Syst. 17(2): 647-664 (2020) - [j28]Xiaofei Liu, Fei Zhu, Yuchen Fu, Quan Liu:
A resource retrieval method of multimedia recommendation system based on deep learning. Int. J. Auton. Adapt. Commun. Syst. 13(4): 400-418 (2020) - [j27]Fei Zhu, Yuchun Huang, Zizhu Tian, Yaowei Ma:
Extrinsic Calibration of Multiple Two-Dimensional Laser Rangefinders Based on a Trihedron. Sensors 20(7): 1837 (2020) - [c26]Fei Zhu, Xun Yi, Sharif Abuadbba, Ibrahim Khalil, Xu Yang, Surya Nepal, Xinyi Huang:
Privacy-Preserving Authentication for Tree-Structured Data with Designated Verification in Outsourced Environments. ProvSec 2020: 145-165
2010 – 2019
- 2019
- [j26]Lai Qian, Guanfeng Liu, Fei Zhu, Zhixu Li, Yu Wang, An Liu:
Enhancing User Experience of Task Assignment in Spatial Crowdsourcing: A Self-Adaptive Batching Approach. IEEE Access 7: 132324-132332 (2019) - [j25]Fei Ye, Fei Zhu, Yuchen Fu, Bairong Shen:
ECG Generation With Sequence Generative Adversarial Nets Optimized by Policy Gradient. IEEE Access 7: 159369-159378 (2019) - [j24]Yangyang Ge, Fei Zhu, Xinghong Ling, Quan Liu:
Safe Q-Learning Method Based on Constrained Markov Decision Processes. IEEE Access 7: 165007-165017 (2019) - [j23]Fei Zhu, Pai Peng, Quan Liu, Yuchen Fu, Shan Zhong:
SARSA based access control with approximation by TileCoding. Comput. Sci. Inf. Syst. 16(3): 689-704 (2019) - [j22]Fang Wang, Renjun Feng, Haiyan Chen, Wen Wu, Fei Zhu:
An information network security policy learning algorithm based on Sarsa with optimistic initial values. Int. J. Comput. Sci. Eng. 19(2): 189-196 (2019) - [j21]Fei Zhu, Wei Wu, Yuexin Zhang, Xiaofeng Chen:
Privacy-preserving authentication for general directed graphs in industrial IoT. Inf. Sci. 502: 218-228 (2019) - [j20]Wen Yang, Xiaoning Liu, Fei Zhu, Shanghao Zhao, Shixiong Wang:
基于统计形状模型的颅骨自动性别识别 (Automatic Sex Determination of Skulls Based on Statistical Shape Model). 计算机科学 46(6): 282-287 (2019) - [j19]Jia Fan, Yuchun Huang, Jie Shan, Shun Zhang, Fei Zhu:
Extrinsic Calibration between a Camera and a 2D Laser Rangefinder using a Photogrammetric Control Field. Sensors 19(9): 2030 (2019) - [c25]Along Yu, Fei Zhu, Jinqiao Dai:
Research of the Factory Sewage Wireless Monitoring System Based on Data Fusion. CSAE 2019: 65:1-65:6 - [c24]Lu Li, Xufeng Jiang, Fei Zhu, An Liu:
Efficient Privacy-Preserving Skyline Queries over Outsourced Cloud. WISE Workshops 2019: 83-97 - 2018
- [j18]Wei Chen, Fei Zhu, Jing Zhao, Sheng Li, Guoping Wang:
Peridynamics-Based Fracture Animation for Elastoplastic Solids. Comput. Graph. Forum 37(1): 112-124 (2018) - [j17]Chunjiang Yu, Wentao Wu, Jing Wang, Yuxin Lin, Yang Yang, Jiajia Chen, Fei Zhu, Bairong Shen:
NGS-FC: A Next-Generation Sequencing Data Format Converter. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1683-1691 (2018) - [c23]Wen Yang, Xiaoning Liu, Fei Zhu, Guohua Geng, Kang Li:
Determination of Sex Discriminant Function Analysis in Chinese Human Skulls. CCBR 2018: 589-598 - [c22]Wen Yang, Xiaoning Liu, Jiabei Hu, Fei Zhu, Kang Li, Guohua Geng:
Three-dimensional Model Segmentation Based on Improved Random Walk Segmentation Algorithm. CSAE 2018: 5:1-5:5 - [c21]Wen Wu, Fei Zhu, Yuchen Fu, Quan Liu:
Deep Deterministic Policy Gradient with Clustered Prioritized Sampling. ICONIP (2) 2018: 645-654 - 2017
- [j16]Fei Zhu, Jing Zhao, Sheng Li, Yong Tang, Guoping Wang:
Dynamically Enriched MPM for Invertible Elasticity. Comput. Graph. Forum 36(6): 381-392 (2017) - [j15]Fei Zhu, Haijun Zhu, Yuchen Fu, Donghuo Chen, Xiaoke Zhou:
A kernel based true online Sarsa(λ) for continuous space control problems. Comput. Sci. Inf. Syst. 14(3): 789-804 (2017) - [c20]Fei Zhu, Yuexin Zhang, Chao Lin, Wei Wu, Ru Meng:
A Universal Designated Multi-Verifier Transitive Signature Scheme. Inscrypt 2017: 180-195 - 2016
- [j14]Yuchen Fu, Zhipeng Xu, Fei Zhu, Quan Liu, Xiaoke Zhou:
Learn to human-level control in dynamic environment using incremental batch interrupting temporal abstraction. Comput. Sci. Inf. Syst. 13(2): 561-577 (2016) - [j13]Fei Zhu, Mingyue Ding, Xuming Zhang:
Self-similarity inspired local descriptor for non-rigid multi-modal image registration. Inf. Sci. 372: 16-31 (2016) - [j12]Xuming Zhang, Jinxia Ren, Zhiwen Huang, Fei Zhu:
Spiking Cortical Model Based Multimodal Medical Image Fusion by Combining Entropy Information with Weber Local Descriptor. Sensors 16(9): 1503 (2016) - [c19]Haijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, Jianwei Zhai, Cijia Sun, Peng Zhang:
A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample Sparsification. ICONIP (3) 2016: 211-220 - [c18]Chao Lin, Fei Zhu, Wei Wu, Kaitai Liang, Kim-Kwang Raymond Choo:
A New Transitive Signature Scheme. NSS 2016: 156-167 - [c17]Wei-Ren Peng, Yanjun Zhu, Samina Chowdhury, Clarence Kan, Zhihong Li, Yan Cui, Fei Zhu, Yusheng Bai:
Adaptive noise whitening filter and its use with maximum likelihood sequence estimation. OFC 2016: 1-3 - 2015
- [j11]Fei Zhu, Sheng Li, Guoping Wang:
Example-Based Materials in Laplace-Beltrami Shape Space. Comput. Graph. Forum 34(1): 36-46 (2015) - [j10]Fei Zhu, Quan Liu, Shan Zhong, Yang Yang:
Human-level moving object recognition from traffic video. Comput. Sci. Inf. Syst. 12(2): 787-799 (2015) - [c16]Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu:
A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. ICONIP (1) 2015: 108-116 - [c15]Yan Guo, Li Ma, Fei Zhu, Fujiang Liu:
Selecting Training Samples from Large-Scale Remote-Sensing Samples Using an Active Learning Algorithm. ISICA 2015: 40-51 - [c14]Wei-Ren Peng, Zhihong Li, Fei Zhu, Yusheng Bai:
Training-based determination of perturbation coefficients for fiber nonlinearity mitigation. OFC 2015: 1-3 - [c13]Yanjun Zhu, Wei-Ren Peng, Yan Cui, Clarence Kan, Fei Zhu, Yusheng Bai:
Comparative digital mitigations of DAC clock tone leakage in a single-carrier 400G system. OFC 2015: 1-3 - [c12]Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen:
Protein-Protein Interaction Network Constructing Based on Text Mining and Reinforcement Learning with Application to Prostate Cancer. TrustCom/BigDataSE/ISPA (1) 2015: 1306-1311 - 2014
- [c11]Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen:
Protein-protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer. BIBM 2014: 46-51 - [c10]Zhihong Li, Wei-Ren Peng, Fei Zhu, Yusheng Bai:
Optimum quantization of perturbation coefficients for perturbative fiber nonlinearity mitigation. ECOC 2014: 1-3 - [c9]Wei-Ren Peng, Zhihong Li, Fei Zhu, Yusheng Bai:
Extending perturbative nonlinearity mitigation to PDM-16QAM. ECOC 2014: 1-3 - 2013
- [j9]Fei Zhu, Preecha Patumcharoenpol, Cheng Zhang, Yang Yang, Jonathan H. Chan, Asawin Meechai, Wanwipa Vongsangnak, Bairong Shen:
Biomedical text mining and its applications in cancer research. J. Biomed. Informatics 46(2): 200-211 (2013) - [j8]Jiamin Ning, Yang Yang, Fei Zhu:
Background Modeling and Fuzzy Clustering for Motion Detection from Video. J. Multim. 8(5): 626-631 (2013) - [c8]Yanjun Zhu, Jianfeng Wang, Qing Guo, Yan Cui, Chuandong Li, Fei Zhu, Yusheng Bai:
Experimental comparison of terabit nyquist superchannel transmissions based on high and low baud rates. OFC/NFOEC 2013: 1-3 - 2011
- [j7]Fei Zhu, Hongjun Diao, Wei Huang:
Developing Software Using A Novel Event-Condition-State Pattern Framework: Taking Mobile Input Method System As A Case Study. J. Softw. 6(8): 1506-1512 (2011) - [j6]Fei Zhu, Jiong Yang, Yong Zhou:
Enriched Format Text Categorization Using A Component Similarity Approach. J. Softw. 6(9): 1713-1720 (2011) - [c7]Ning Liu, Fei Zhu, Sheng Li, Guoping Wang:
Anisotropic Kernels for Meshless Elastic Solids. CAD/Graphics 2011: 349-356 - 2010
- [c6]Hua Jiang, Lishan Kang, Shuqi Zhang, Fei Zhu:
Genetic Algorithm for Mixed Chinese Postman Problem. ISICA (1) 2010: 193-199 - [c5]Fei Zhu, Hongjun Diao:
Single Sign-On Assistant: An Authentication Broker for Web Applications. WKDD 2010: 146-149 - [c4]Fei Zhu, Liangyou Li:
An Optimized Video-Based Traffic Congestion Monitoring System. WKDD 2010: 150-153
2000 – 2009
- 2009
- [j5]Guoping Wang, Fei Zhu, Hong Bian:
Note on the nullity of bicyclic graphs. Ars Comb. 91 (2009) - [j4]Fei Zhu, Xiaoxu Zhu, Qiang Lv, Yiyong Shi, Yang Yang, Qiaoming Zhu:
ZFlow: Workflow for Cooperative Editing System. J. Softw. 4(4): 339-347 (2009) - 2008
- [j3]Jun Kong, Fei Zhu, Jim Stalker, David J. Adams:
iMapper: a web application for the automated analysis and mapping of insertional mutagenesis sequence data against Ensembl genomes. Bioinform. 24(24): 2923-2925 (2008) - [c3]Hongjun Diao, Yijun Chen, Fei Zhu:
A Flexible Classifier for Hibernal Trees. CSSE (4) 2008: 171-173 - [c2]Fei Zhu, Zi-ze Liang, Tao Yang, Zeng-Guang Hou, Xiuqing Wang:
Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor. ICNSC 2008: 1294-1299 - [c1]Fei Zhu, Qiang Lv:
ACEAC: A Novel Access Control Model for Cooperative Editing with Workflow. ISECS 2008: 1010-1014 - 2007
- [j2]Xiuqing Wang, Zeng-Guang Hou, Long Cheng, Min Tan, Fei Zhu:
Corridor-Scene Classifying Methods for Mobile Robot Based on Multi-Sonar-Sensor Information Fusion. Int. J. Inf. Acquis. 4(1): 15-26 (2007)
1990 – 1999
- 1996
- [j1]Jianshe Dai, Dawei Li, Yi Liao, Fei Zhu:
An extension to the single bottleneck transportation problem. Int. J. Syst. Sci. 27(6): 577-581 (1996)
Coauthor Index
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