| 2026 | AAAI | FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation. | Haiyan Lin, Qi Shen, Fei Zhu, Zixuan Qin, Liu Yang, Yuping Duan |
| 2025 | AAAI | Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. | Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng |
| 2025 | ACL | HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. | Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu |
| 2025 | EMNLP | ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt. | Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu |
| 2025 | ICCV | Federated Continual Instruction Tuning. | Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu |
| 2025 | ICICS | VULDA: Source Code Vulnerability Detection via Local Dependency Context Aggregation on Vulnerability-Aware Code Mapping Graph. | Tao Peng, Ling Gui, Lijun Cai, Junwei Tang, Aoshuang Ye, Fei Zhu |
| 2025 | ICLR | C-CLIP: Multimodal Continual Learning for Vision-Language Model. | Wenzhuo Liu, Fei Zhu, Longhui Wei, Qi Tian |
| 2025 | ICLR | Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. | Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang |
| 2025 | SIGIR | Two-Stage Adversarial Training for Deep Hashing via Representation Distillation. | Fei Zhu, Huashan Chen, Wanqian Zhang, Lin Wang, Zheng Lin, Bo Li |
| 2024 | CVPR | Active Generalized Category Discovery. | Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu |
| 2024 | CVPR | RCL: Reliable Continual Learning for Unified Failure Detection. | Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang |
| 2024 | ECCV | PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. | Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu |
| 2024 | ICASSP | Exploring Targeted Universal Adversarial Attack for Deep Hashing. | Fei Zhu, Wanqian Zhang, Dayan Wu, Lin Wang, Bo Li, Weiping Wang |
| 2024 | ICPR | Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization. | Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu |
| 2023 | CVPR | Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval. | Xiaoshuai Hao, Wanqian Zhang, Dayan Wu, Fei Zhu, Bo Li |
| 2023 | CVPR | OpenMix: Exploring Outlier Samples for Misclassification Detection. | Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu |
| 2023 | IECON | Cooperative Target-Surrounding Control of Unmanned Surface Vessels Based on MADDPG. | Taoman Li, Fei Zhu, Zihan Gan, Zexing Zhou, Xiaotao Wang, Renzhi Lu |
| 2023 | VR | FluidPlaying: Efficient Adaptive Simulation for Highly Dynamic Fluid. | Sinuo Liu, Xiaojuan Ban, Sheng Li, Haokai Zeng, Xiaokun Wang, Yanrui Xu, Fei Zhu, Guoping Wang |
| 2023 | SCAM | PTLVD:Program Slicing and Transformer-based Line-level Vulnerability Detection System. | Tao Peng, Shixu Chen, Fei Zhu, Junwei Tang, Junping Liu, Xinrong Hu |
| 2022 | ECCV | Rethinking Confidence Calibration for Failure Prediction. | Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu |
| 2022 | ESORICS | Efficient Hash-Based Redactable Signature for Smart Grid Applications. | Fei Zhu, Xun Yi, Alsharif Abuadbba, Junwei Luo, Surya Nepal, Xinyi Huang |
| 2022 | NSS | Efficient and Fine-Grained Sharing of Signed Healthcare Data in Smart Healthcare. | Jianghua Liu, Lei Xu, Bruce Gu, Lei Cui, Fei Zhu |
| 2021 | CVPR | Prototype Augmentation and Self-Supervision for Incremental Learning. | Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu |
| 2021 | DASFAA | Incentive-aware Task Location in Spatial Crowdsourcing. | Fei Zhu, Shushu Liu, Junhua Fang, An Liu |
| 2020 | ICASSP | Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. | Fei Zhu, Paul Honeine, Jie Chen |
| 2020 | ProvSec | Privacy-Preserving Authentication for Tree-Structured Data with Designated Verification in Outsourced Environments. | Fei Zhu, Xun Yi, Sharif Abuadbba, Ibrahim Khalil, Xu Yang, Surya Nepal, Xinyi Huang |
| 2020 | VCIP | A Robust Multilinear Mixing Model with l2, 1 norm for Unmixing Hyperspectral Images. | Minglei Li, Fei Zhu, Alan J. X. Guo |
| 2019 | WISE | Efficient Privacy-Preserving Skyline Queries over Outsourced Cloud. | Lu Li, Xufeng Jiang, Fei Zhu, An Liu |
| 2018 | ICONIP | Deep Deterministic Policy Gradient with Clustered Prioritized Sampling. | Wen Wu, Fei Zhu, Yuchen Fu, Quan Liu |
| 2016 | ICONIP | 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 |
| 2016 | IJCNN | ADMM for maximum correntropy criterion. | Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng |
| 2016 | NSS | A New Transitive Signature Scheme. | Chao Lin, Fei Zhu, Wei Wu, Kaitai Liang, Kim-Kwang Raymond Choo |
| 2015 | ESANN | Pareto front of bi-objective kernel-based nonnegative matrix factorization. | Fei Zhu, Paul Honeine |
| 2015 | ICONIP | A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. | Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu |
| 2015 | TrustCom | 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 |