Fei Zhu - RankMe

67 papers A* 9A 1Journal 53Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation. CoRR Geng Liu, Fei Zhu, Rong Feng, Changyi Ma, Shiqi Wang, Gaofeng Meng
2026	J	`jnl`	Practical Continual Forgetting for Pre-Trained Vision Models. IEEE Trans. Pattern Anal. Mach. Intell. Hongbo Zhao, Fei Zhu, Bolin Ni, Feng Zhu, Gaofeng Meng, Zhaoxiang Zhang
2025	J	`jnl`	A Comprehensive Survey on Continual Learning in Generative Models. CoRR 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
2025	J	`jnl`	A Fully Open and Generalizable Foundation Model for Ultrasound Clinical Applications. CoRR 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
2025	J	`jnl`	Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. IEEE Trans. Neural Networks Learn. Syst. Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2025	J	`jnl`	Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu
2025	J	`jnl`	Breaking the Limits of Reliable Prediction via Generated Data. Int. J. Comput. Vis. Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Chenglin Liu
2025	J	`jnl`	Class incremental learning with self-supervised pre-training and prototype learning. Pattern Recognit. Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Ming-Ming Yu, Chuang Wang, Cheng-Lin Liu
2025	J	`jnl`	Federated Continual Instruction Tuning. CoRR Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu
2025	J	`jnl`	Fourier Boundary Features Network With Wider Catchers for Glass Segmentation. IEEE Trans. Image Process. Xiaolin Qin, Jiacen Liu, Qianlei Wang, Shaolin Zhang, Fei Zhu, Zhang Yi
2025	J	`jnl`	Global Convergence of Continual Learning on Non-IID Data. CoRR Fei Zhu, Yujing Liu, Wenzhuo Liu, Zhaoxiang Zhang
2025	—	`conf`	HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. ACL (1) Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu
2025	J	`jnl`	HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. CoRR Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu
2025	J	`jnl`	LLaVA-c: Continual Improved Visual Instruction Tuning. CoRR Wenzhuo Liu, Fei Zhu, Haiyang Guo, Longhui Wei, Cheng-Lin Liu
2025	A*	`conf`	Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. ICLR Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang
2025	J	`jnl`	MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark. CoRR Haiyang Guo, Fei Zhu, Hongbo Zhao, Fanhu Zeng, Wenzhuo Liu, Shijie Ma, Da-Han Wang, Xu-Yao Zhang
2025	J	`jnl`	MLLM-CL: Continual Learning for Multimodal Large Language Models. CoRR Hongbo Zhao, Fei Zhu, Rundong Wang, Gaofeng Meng, Zhaoxiang Zhang
2025	J	`jnl`	PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu
2025	A*	`conf`	Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. AAAI Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng
2025	J	`jnl`	Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. CoRR Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng
2025	J	`jnl`	Practical Continual Forgetting for Pre-trained Vision Models. CoRR Hongbo Zhao, Fei Zhu, Bolin Ni, Feng Zhu, Gaofeng Meng, Zhaoxiang Zhang
2025	J	`jnl`	Practical incremental learning: Striving for better performance-efficiency trade-off. Neurocomputing Shixiong Xu, Bolin Ni, Xing Nie, Fei Zhu, Yin Li, Jianlong Chang, Gaofeng Meng
2025	J	`jnl`	ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. CoRR Shijie Ma, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2025	J	`jnl`	ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. IEEE Trans. Pattern Anal. Mach. Intell. Shijie Ma, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2025	J	`jnl`	Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training. CoRR 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
2025	J	`jnl`	Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning. CoRR Geng Liu, Fei Zhu, Rong Feng, Zhiqiang Yi, Shiqi Wang, Gaofeng Meng, Zhaoxiang Zhang
2025	J	`jnl`	Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models. CoRR Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang
2025	J	`jnl`	Towards trustworthy dataset distillation. Pattern Recognit. Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang
2025	J	`jnl`	TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data. CoRR Fei Zhu, Zhaoxiang Zhang
2025	J	`jnl`	VTCBench: Can Vision-Language Models Understand Long Context with Vision-Text Compression? CoRR Hongbo Zhao, Meng Wang, Fei Zhu, Wenzhuo Liu, Bolin Ni, Fanhu Zeng, Gaofeng Meng, Zhaoxiang Zhang
2024	A*	`conf`	Active Generalized Category Discovery. CVPR Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu
2024	J	`jnl`	Active Generalized Category Discovery. CoRR Shijie Ma, Fei Zhu, Zhun Zhong, Xu-Yao Zhang, Cheng-Lin Liu
2024	J	`jnl`	Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. CoRR Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu
2024	J	`jnl`	Continual Forgetting for Pre-trained Vision Models. CoRR Hongbo Zhao, Bolin Ni, Haochen Wang, Junsong Fan, Fei Zhu, Yuxi Wang, Yuntao Chen, Gaofeng Meng, Zhaoxiang Zhang
2024	J	`jnl`	DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning. CoRR Haiyang Guo, Fei Zhu, Fanhu Zeng, Bing Liu, Xu-Yao Zhang
2024	—	`conf`	Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization. ICPR (26) Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2024	J	`jnl`	Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts. CoRR Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang
2024	J	`jnl`	Federated Class-Incremental Learning with Prototype Guided Transformer. CoRR Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu
2024	A*	`conf`	Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. NeurIPS Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Chenglin Liu
2024	J	`jnl`	Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. CoRR Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu
2024	A*	`conf`	MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. NeurIPS Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu
2024	J	`jnl`	MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. CoRR Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu
2024	J	`jnl`	ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models. CoRR Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu
2024	J	`jnl`	Multi-scale Unified Network for Image Classification. CoRR Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu
2024	J	`jnl`	Open-world Machine Learning: A Review and New Outlooks. CoRR Fei Zhu, Shijie Ma, Zhen Cheng, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu
2024	J	`jnl`	PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. CoRR Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu
2024	—	`conf`	PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. ECCV (65) Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu
2024	A*	`conf`	RCL: Reliable Continual Learning for Unified Failure Detection. CVPR Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang
2024	J	`jnl`	Revisiting Confidence Estimation: Towards Reliable Failure Prediction. CoRR Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu
2024	J	`jnl`	Revisiting Confidence Estimation: Towards Reliable Failure Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Fei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng-Lin Liu
2024	J	`jnl`	Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. CoRR Wenzhuo Liu, Fei Zhu, Cheng-Lin Liu
2023	J	`jnl`	Adversarial training with distribution normalization and margin balance. Pattern Recognit. Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. CoRR Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning. CoRR Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Mingming Yu, Chuang Wang, Cheng-Lin Liu
2023	J	`jnl`	Dynamics-Aware Loss for Learning with Label Noise. CoRR Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	Dynamics-aware loss for learning with label noise. Pattern Recognit. Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	Imitating the oracle: Towards calibrated model for class incremental learning. Neural Networks Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	Learning by Seeing More Classes. IEEE Trans. Pattern Anal. Mach. Intell. Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu
2023	A*	`conf`	OpenMix: Exploring Outlier Samples for Misclassification Detection. CVPR Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	OpenMix: Exploring Outlier Samples for Misclassification Detection. CoRR Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	Rethinking Confidence Calibration for Failure Prediction. CoRR Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2023	J	`jnl`	Towards Trustworthy Dataset Distillation. CoRR Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang
2023	J	`jnl`	Training with scaled logits to alleviate class-level over-fitting in few-shot learning. Neurocomputing Rui-Qi Wang, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2022	—	`conf`	Rethinking Confidence Calibration for Failure Prediction. ECCV (25) Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2021	A	`conf`	Calibration for Non-Exemplar Based Class-Incremental Learning. ICME Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu
2021	A*	`conf`	Class-Incremental Learning via Dual Augmentation. NeurIPS Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu
2021	A*	`conf`	Prototype Augmentation and Self-Supervision for Incremental Learning. CVPR Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu