Residual Moment Loss for Medical Image Segmentation. - Quanziang Wang; Renzhen Wang; Yuexiang Li; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (CoRR, 2021)

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship. - Quanziang Wang; Yuexiang Li; Dong Wei 004; Renzhen Wang; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (CoRR, 2021)

Diagnosing Batch Normalization in Class Incremental Learning. - Minghao Zhou; Quanziang Wang; Jun Shu; Qian Zhao 002; Deyu Meng (CoRR, 2022)

Learning to Adapt Classifier for Imbalanced Semi-supervised Learning. - Renzhen Wang; Xixi Jia; Quanziang Wang; Deyu Meng (CoRR, 2022)

CBA: Improving Online Continual Learning via Continual Bias Adaptor. - Quanziang Wang; Renzhen Wang; Yichen Wu; Xixi Jia; Deyu Meng (ICCV, 2023)

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier. - Renzhen Wang; Xixi Jia; Quanziang Wang; Yichen Wu; Deyu Meng (ICLR, 2023)

Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective. - Quanziang Wang; Renzhen Wang; Yichen Wu; Xixi Jia; Minghao Zhou; Deyu Meng (CoRR, 2024)

Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship. - Quanziang Wang; Renzhen Wang; Yuexiang Li; Dong Wei 004; Hong Wang 021; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (IEEE Trans. Multim., 2024)

Singular Value Fine-tuning for Few-Shot Class-Incremental Learning. - Zhiwu Wang; Yichen Wu; Renzhen Wang; Haokun Lin; Quanziang Wang; Qian Zhao 002; Deyu Meng (CoRR, 2025)

Data-Distill-Net: A Data Distillation Approach Tailored for Reply-based Continual Learning. - Wenyang Liao; Quanziang Wang; Yichen Wu; Renzhen Wang; Deyu Meng (CoRR, 2025)