Fei Zhu

According to our database, Fei Zhu authored at least 51 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning.

Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark.

Haiyang Guo, Fei Zhu, Hongbo Zhao, Fanhu Zeng, Wenzhuo Liu, Shijie Ma, Da-Han Wang, Xu-Yao Zhang

CoRR, August, 2025

ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery.

Shijie Ma, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training.

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

CoRR, July, 2025

Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection.

Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

IEEE Trans. Neural Networks Learn. Syst., June, 2025

A Comprehensive Survey on Continual Learning in Generative Models.

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

CoRR, June, 2025

LLaVA-c: Continual Improved Visual Instruction Tuning.

Wenzhuo Liu, Fei Zhu, Haiyang Guo, Longhui Wei, Cheng-Lin Liu

CoRR, June, 2025

MLLM-CL: Continual Learning for Multimodal Large Language Models.

Hongbo Zhao, Fei Zhu, Rundong Wang, Gaofeng Meng, Zhaoxiang Zhang

CoRR, June, 2025

Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning.

Geng Liu, Fei Zhu, Rong Feng, Zhiqiang Yi, Shiqi Wang, Gaofeng Meng, Zhaoxiang Zhang

CoRR, April, 2025

TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data.

Fei Zhu, Zhaoxiang Zhang

CoRR, April, 2025

ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery.

Shijie Ma, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

CoRR, April, 2025

Breaking the Limits of Reliable Prediction via Generated Data.

Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Chenglin Liu

Int. J. Comput. Vis., March, 2025

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models.

Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang

CoRR, March, 2025

Global Convergence of Continual Learning on Non-IID Data.

Fei Zhu, Yujing Liu, Wenzhuo Liu, Zhaoxiang Zhang

CoRR, March, 2025

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

CoRR, March, 2025

Federated Continual Instruction Tuning.

Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu

CoRR, March, 2025

Practical Continual Forgetting for Pre-trained Vision Models.

Hongbo Zhao, Fei Zhu, Bolin Ni, Feng Zhu, Gaofeng Meng, Zhaoxiang Zhang

CoRR, January, 2025

Fourier Boundary Features Network With Wider Catchers for Glass Segmentation.

Xiaolin Qin, Jiacen Liu, Qianlei Wang, Shaolin Zhang, Fei Zhu, Zhang Yi

IEEE Trans. Image Process., 2025

Towards trustworthy dataset distillation.

Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang

Pattern Recognit., 2025

Class incremental learning with self-supervised pre-training and prototype learning.

Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Ming-Ming Yu, Chuang Wang, Cheng-Lin Liu

Pattern Recognit., 2025

Practical incremental learning: Striving for better performance-efficiency trade-off.

Shixiong Xu, Bolin Ni, Xing Nie, Fei Zhu, Yin Li, Jianlong Chang, Gaofeng Meng

Neurocomputing, 2025

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection.

Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Revisiting Confidence Estimation: Towards Reliable Failure Prediction.

Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning.

Haiyang Guo, Fei Zhu, Fanhu Zeng, Bing Liu, Xu-Yao Zhang

CoRR, 2024

ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models.

Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu

CoRR, 2024

Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts.

Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang

CoRR, 2024

Multi-scale Unified Network for Image Classification.

Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu

CoRR, 2024

Towards Non-Exemplar Semi-Supervised Class-Incremental Learning.

Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu

CoRR, 2024

Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning.

Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu

CoRR, 2024

Continual Forgetting for Pre-trained Vision Models.

Hongbo Zhao, Bolin Ni, Haochen Wang, Junsong Fan, Fei Zhu, Yuxi Wang, Yuntao Chen, Gaofeng Meng, Zhaoxiang Zhang

CoRR, 2024

Open-world Machine Learning: A Review and New Outlooks.

Fei Zhu, Shijie Ma, Zhen Cheng, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu

CoRR, 2024

Federated Class-Incremental Learning with Prototype Guided Transformer.

Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu

CoRR, 2024

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery.

Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Chenglin Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution.

Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization.

Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning.

Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

RCL: Reliable Continual Learning for Unified Failure Detection.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Active Generalized Category Discovery.

Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Dynamics-aware loss for learning with label noise.

Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu

Pattern Recognit., December, 2023

Imitating the oracle: Towards calibrated model for class incremental learning.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Neural Networks, July, 2023

Learning by Seeing More Classes.

Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Adversarial training with distribution normalization and margin balance.

Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

Pattern Recognit., April, 2023

Training with scaled logits to alleviate class-level over-fitting in few-shot learning.

Rui-Qi Wang, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

Neurocomputing, 2023

Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning.

Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Mingming Yu, Chuang Wang, Cheng-Lin Liu

CoRR, 2023

OpenMix: Exploring Outlier Samples for Misclassification Detection.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Rethinking Confidence Calibration for Failure Prediction.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Class-Incremental Learning via Dual Augmentation.

Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Calibration for Non-Exemplar Based Class-Incremental Learning.

Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Prototype Augmentation and Self-Supervision for Incremental Learning.

Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021