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ORCIDFei Zhu 0004
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
Other persons with the same name
- Fei Zhu — disambiguation page
- Fei Zhu 0001
![[0000-0002-8113-3707]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8113-3707")
— Tianjin University, Center for Applied Mathematics, China (and 1 more) - Fei Zhu 0003 — Soochow University, School of Computer Science and Technology, Suzhou, China (and 1 more)
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Journal Articles
- 2025
[j15]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Chenglin Liu:
Breaking the Limits of Reliable Prediction via Generated Data. Int. J. Comput. Vis. 133(3): 1195-1221 (2025)- [j14]Shixiong Xu, Bolin Ni, Xing Nie, Fei Zhu, Yin Li, Jianlong Chang, Gaofeng Meng:
Practical incremental learning: Striving for better performance-efficiency trade-off. Neurocomputing 634: 129831 (2025) - [j13]Shijie Ma, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 6022-6038 (2025) - [j12]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(8): 7123-7139 (2025) - [j11]Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang:
Towards trustworthy dataset distillation. Pattern Recognit. 157: 110875 (2025) - [j10]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) - [j9]Xiaolin Qin, Jiacen Liu, Qianlei Wang, Shaolin Zhang, Fei Zhu, Zhang Yi:
Fourier Boundary Features Network With Wider Catchers for Glass Segmentation. IEEE Trans. Image Process. 34: 5038-5053 (2025) - [j8]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. IEEE Trans. Neural Networks Learn. Syst. 36(6): 10648-10662 (2025) - [j7]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 36(10): 19312-19326 (2025) - 2024
- [j6]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) - 2023
- [j5]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) - [j4]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) - [j3]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) - [j2]Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Adversarial training with distribution normalization and margin balance. Pattern Recognit. 136: 109182 (2023) - [j1]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)
Conference and Workshop Papers
- 2025
- [c14]Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng:
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. AAAI 2025: 18008-18016 - [c13]Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu:
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. ACL (1) 2025: 13572-13586 - [c12]Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang:
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. ICLR 2025 - 2024
- [c11]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang:
RCL: Reliable Continual Learning for Unified Failure Detection. CVPR 2024: 12140-12150 - [c10]Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu:
Active Generalized Category Discovery. CVPR 2024: 16890-16900 - [c9]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 - [c8]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 - [c7]Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu:
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. NeurIPS 2024 - [c6]Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Chenglin Liu:
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. NeurIPS 2024 - 2023
- [c5]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CVPR 2023: 12074-12083 - 2022
- [c4]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. ECCV (25) 2022: 518-536 - 2021
- [c3]Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu:
Prototype Augmentation and Self-Supervision for Incremental Learning. CVPR 2021: 5871-5880 - [c2]Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Calibration for Non-Exemplar Based Class-Incremental Learning. ICME 2021: 1-6 - [c1]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Class-Incremental Learning via Dual Augmentation. NeurIPS 2021: 14306-14318
Informal and Other Publications
- 2025
- [i35]Hongbo Zhao, Fei Zhu, Bolin Ni, Feng Zhu, Gaofeng Meng, Zhaoxiang Zhang:
Practical Continual Forgetting for Pre-trained Vision Models. CoRR abs/2501.09705 (2025) - [i34]Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu:
Federated Continual Instruction Tuning. CoRR abs/2503.12897 (2025) - [i33]Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu:
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. CoRR abs/2503.12941 (2025) - [i32]Fei Zhu, Yujing Liu, Wenzhuo Liu, Zhaoxiang Zhang:
Global Convergence of Continual Learning on Non-IID Data. CoRR abs/2503.18511 (2025) - [i31]Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang:
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models. CoRR abs/2503.20492 (2025) - [i30]Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng:
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. CoRR abs/2503.23390 (2025) - [i29]Shijie Ma, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. CoRR abs/2504.03755 (2025) - [i28]Fei Zhu, Zhaoxiang Zhang:
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data. CoRR abs/2504.14545 (2025) - [i27]Geng Liu, Fei Zhu, Rong Feng, Zhiqiang Yi, Shiqi Wang, Gaofeng Meng, Zhaoxiang Zhang:
Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning. CoRR abs/2504.14727 (2025) - [i26]Hongbo Zhao, Fei Zhu, Rundong Wang, Gaofeng Meng, Zhaoxiang Zhang:
MLLM-CL: Continual Learning for Multimodal Large Language Models. CoRR abs/2506.05453 (2025) - [i25]Wenzhuo Liu, Fei Zhu, Haiyang Guo, Longhui Wei, Cheng-Lin Liu:
LLaVA-c: Continual Improved Visual Instruction Tuning. CoRR abs/2506.08666 (2025) - [i24]Haiyang Guo, Fanhu Zeng, Fei Zhu, Jiayi Wang, Xukai Wang, Jingang Zhou, Hongbo Zhao, Wenzhuo Liu, Shijie Ma, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu:
A Comprehensive Survey on Continual Learning in Generative Models. CoRR abs/2506.13045 (2025) - [i23]Song Lai, Haohan Zhao, Rong Feng, Changyi Ma, Wenzhuo Liu, Hongbo Zhao, Xi Lin, Dong Yi, Min Xie, Qingfu Zhang, Hongbin Liu, Gaofeng Meng, Fei Zhu:
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training. CoRR abs/2507.05386 (2025) - [i22]Haiyang Guo, Fei Zhu, Hongbo Zhao, Fanhu Zeng, Wenzhuo Liu, Shijie Ma, Da-Han Wang, Xu-Yao Zhang:
MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark. CoRR abs/2508.07307 (2025) - [i21]Hongyuan Zhang, Yuheng Wu, Mingyang Zhao, Zhiwei Chen, Rebecca Li, Fei Zhu, Haohan Zhao, Xiaohua Yuan, Meng Yang, Chunli Qiu, Xiang Cong, Haiyan Chen, Lina Luan, Randolph H. L. Wong, Huai Liao, Colin A Graham, Shi Chang, Guowei Tao, Dong Yi, Zhen Lei, Nassir Navab, Sébastien Ourselin, Jiebo Luo, Hongbin Liu, Gaofeng Meng:
A Fully Open and Generalizable Foundation Model for Ultrasound Clinical Applications. CoRR abs/2509.11752 (2025) - 2024
- [i20]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) - [i19]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) - [i18]Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu:
Revisiting Confidence Estimation: Towards Reliable Failure Prediction. CoRR abs/2403.02886 (2024) - [i17]Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu:
Active Generalized Category Discovery. CoRR abs/2403.04272 (2024) - [i16]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) - [i15]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. CoRR abs/2403.18266 (2024) - [i14]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. CoRR abs/2403.18291 (2024) - [i13]Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu:
Multi-scale Unified Network for Image Classification. CoRR abs/2403.18294 (2024) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]Haiyang Guo, Fei Zhu, Fanhu Zeng, Bing Liu, Xu-Yao Zhang:
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning. CoRR abs/2411.19154 (2024) - 2023
- [i6]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) - [i5]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Rethinking Confidence Calibration for Failure Prediction. CoRR abs/2303.02970 (2023) - [i4]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) - [i3]Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
OpenMix: Exploring Outlier Samples for Misclassification Detection. CoRR abs/2303.17093 (2023) - [i2]Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang:
Towards Trustworthy Dataset Distillation. CoRR abs/2307.09165 (2023) - [i1]Wenzhuo Liu, Xin-Jian 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)
Coauthor Index
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