Prototype Augmentation and Self-Supervision for Incremental Learning. - Fei Zhu 004; Xu-Yao Zhang; Chuang Wang 007; Fei Yin; Cheng-Lin Liu 001 (CVPR, 2021)

Calibration for Non-Exemplar Based Class-Incremental Learning. - Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICME, 2021)

Class-Incremental Learning via Dual Augmentation. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (NeurIPS, 2021)

Rethinking Confidence Calibration for Failure Prediction. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (ECCV (25), 2022)

OpenMix: Exploring Outlier Samples for Misclassification Detection. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2023)

Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning. - Wenzhuo Liu; Xin-Jian Wu; Fei Zhu 004; Mingming Yu; Chuang Wang 007; Cheng-Lin Liu 001 (CoRR, 2023)

Training with scaled logits to alleviate class-level over-fitting in few-shot learning. - Rui-Qi Wang; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (Neurocomputing, 2023)

Adversarial training with distribution normalization and margin balance. - Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

Learning by Seeing More Classes. - Fei Zhu 004; Xu-Yao Zhang; Rui-Qi Wang; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Imitating the oracle: Towards calibrated model for class incremental learning. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (Neural Networks, 2023)

Dynamics-aware loss for learning with label noise. - Xiu-Chuan Li; Xiaobo Xia; Fei Zhu 004; Tongliang Liu; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

Active Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Zhun Zhong; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2024)

RCL: Reliable Continual Learning for Unified Failure Detection. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001; Zhaoxiang Zhang 001 (CVPR, 2024)

PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. - Haiyang Guo; Fei Zhu 004; Wenzhuo Liu; Xu-Yao Zhang; Cheng-Lin Liu (ECCV (65), 2024)

Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization. - Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu (ICPR (26), 2024)

MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. - Wenzhuo Liu; Fei Zhu 004; Shijie Ma; Cheng-Lin Liu 001 (NeurIPS, 2024)

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Zhun Zhong; Wenzhuo Liu; Xu-Yao Zhang; Chenglin Liu 001 (NeurIPS, 2024)

Federated Class-Incremental Learning with Prototype Guided Transformer. - Haiyang Guo; Fei Zhu 004; Wenzhuo Liu; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

Open-world Machine Learning: A Review and New Outlooks. - Fei Zhu 004; Shijie Ma; Zhen Cheng; Xu-Yao Zhang; Zhaoxiang Zhang 001; Cheng-Lin Liu 001 (CoRR, 2024)

Continual Forgetting for Pre-trained Vision Models. - Hongbo Zhao 006; Bolin Ni; Haochen Wang; Junsong Fan; Fei Zhu 004; Yuxi Wang 001; Yuntao Chen; Gaofeng Meng; Zhaoxiang Zhang 001 (CoRR, 2024)

Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

Multi-scale Unified Network for Image Classification. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang (CoRR, 2024)

ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models. - Fanhu Zeng; Fei Zhu 004; Haiyang Guo; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning. - Haiyang Guo; Fei Zhu 004; Fanhu Zeng; Bing Liu; Xu-Yao Zhang (CoRR, 2024)

Revisiting Confidence Estimation: Towards Reliable Failure Prediction. - Fei Zhu 004; Xu-Yao Zhang; Zhen Cheng; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. - Song Lai 001; Zhe Zhao 008; Fei Zhu 004; Xi Lin 001; Qingfu Zhang 001; Gaofeng Meng (AAAI, 2025)

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. - Haiyang Guo; Fanhu Zeng; Ziwei Xiang; Fei Zhu 004; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu (ACL (1), 2025)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Hongxin Wei; Xu-Yao Zhang (ICLR, 2025)

Practical incremental learning: Striving for better performance-efficiency trade-off. - Shixiong Xu; Bolin Ni; Xing Nie; Fei Zhu 004; Yin Li; Jianlong Chang; Gaofeng Meng (Neurocomputing, 2025)

Class incremental learning with self-supervised pre-training and prototype learning. - Wenzhuo Liu; Xin-Jian Wu; Fei Zhu 004; Ming-Ming Yu; Chuang Wang 007; Cheng-Lin Liu 001 (Pattern Recognit., 2025)

Towards trustworthy dataset distillation. - Shijie Ma; Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang (Pattern Recognit., 2025)

Fourier Boundary Features Network With Wider Catchers for Glass Segmentation. - Xiaolin Qin; Jiacen Liu; Qianlei Wang; Shaolin Zhang; Fei Zhu 004; Zhang Yi 001 (IEEE Trans. Image Process., 2025)

Practical Continual Forgetting for Pre-trained Vision Models. - Hongbo Zhao 006; Fei Zhu 004; Bolin Ni; Feng Zhu; Gaofeng Meng; Zhaoxiang Zhang 001 (CoRR, 2025)

Federated Continual Instruction Tuning. - Haiyang Guo; Fanhu Zeng; Fei Zhu 004; Wenzhuo Liu; Da-Han Wang; Jian Xu; Xu-Yao Zhang; Cheng-Lin Liu (CoRR, 2025)

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. - Haiyang Guo; Fanhu Zeng; Ziwei Xiang; Fei Zhu 004; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2025)

Global Convergence of Continual Learning on Non-IID Data. - Fei Zhu 004; Yujing Liu; Wenzhuo Liu; Zhaoxiang Zhang 001 (CoRR, 2025)

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang (CoRR, 2025)

Breaking the Limits of Reliable Prediction via Generated Data. - Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang; Chenglin Liu 001 (Int. J. Comput. Vis., 2025)

ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu (CoRR, 2025)

TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data. - Fei Zhu 004; Zhaoxiang Zhang 001 (CoRR, 2025)

Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning. - Geng Liu; Fei Zhu 004; Rong Feng; Zhiqiang Yi; Shiqi Wang 001; Gaofeng Meng; Zhaoxiang Zhang 001 (CoRR, 2025)

MLLM-CL: Continual Learning for Multimodal Large Language Models. - Hongbo Zhao 006; Fei Zhu 004; Rundong Wang; Gaofeng Meng; Zhaoxiang Zhang 001 (CoRR, 2025)

LLaVA-c: Continual Improved Visual Instruction Tuning. - Wenzhuo Liu; Fei Zhu 004; Haiyang Guo; Longhui Wei; Cheng-Lin Liu 001 (CoRR, 2025)

A Comprehensive Survey on Continual Learning in Generative Models. - Haiyang Guo; Fanhu Zeng; Fei Zhu 004; Jiayi Wang; Xukai Wang; Jingang Zhou; Hongbo Zhao 006; Wenzhuo Liu; Shijie Ma; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2025)

Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. - Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training. - Song Lai 001; Haohan Zhao; Rong Feng; Changyi Ma; Wenzhuo Liu; Hongbo Zhao 006; Xi Lin 001; Dong Yi; Min Xie; Qingfu Zhang 001; Hongbin Liu 001; Gaofeng Meng; et al. (CoRR, 2025)

ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark. - Haiyang Guo; Fei Zhu 004; Hongbo Zhao 006; Fanhu Zeng; Wenzhuo Liu; Shijie Ma; Da-Han Wang; Xu-Yao Zhang (CoRR, 2025)

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. - Fei Zhu 004; Xu-Yao Zhang; Zhen Cheng; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)