Evaluating Response Delay of Multimodal Interface in Smart Device. - Xiantao Chen; Moli Zhou; Renzhen Wang; Yalin Pan; Jiaqi Mi; Hui Tong; Daisong Guan (HCI (21), 2019)

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network. - Renzhen Wang; Shilei Cao 001; Kai Ma 002; Deyu Meng; Yefeng Zheng 001 (MICCAI (6), 2019)

Weakly Supervised Lesion Detection From Fundus Images. - Renzhen Wang; Benzhi Chen; Deyu Meng; Lisheng Wang (IEEE Trans. Medical Imaging, 2019)

LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. - Shuxin Wang; Shilei Cao 001; Dong Wei 004; Renzhen Wang; Kai Ma 002; Liansheng Wang; Deyu Meng; Yefeng Zheng 001 (CVPR, 2020)

LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images. - Huai Chen; Shaoli Song; Xiuying Wang 001; Renzhen Wang; Deyu Meng; Lisheng Wang (MICCAI (Challenges), 2020)

Meta Feature Modulator for Long-tailed Recognition. - Renzhen Wang; Kaiqin Hu; Yanwen Zhu; Jun Shu; Qian Zhao 002; Deyu Meng (CoRR, 2020)

Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition. - Yi-Jie Huang; Weiping Liu; Xiuying Wang 001; Qu Fang; Renzhen Wang; Yi Wang; Huai Chen; Hao Chen 011; Deyu Meng; Lisheng Wang (IEEE Trans. Medical Imaging, 2020)

Unsupervised Learning of Local Discriminative Representation for Medical Images. - Huai Chen; Jieyu Li; Renzhen Wang; Yijie Huang; Fanrui Meng; Deyu Meng; Qing Peng; Lisheng Wang (IPMI, 2021)

Neighbor Matching for Semi-supervised Learning. - Renzhen Wang; Yichen Wu; Huai Chen; Lisheng Wang; Deyu Meng (MICCAI (2), 2021)

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

Unsupervised Local Discrimination for Medical Images. - Huai Chen; Renzhen Wang; Jieyu Li; Qing Peng; Deyu Meng; Lisheng Wang (CoRR, 2021)

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers. - Renzhen Wang; De Cai; Kaiwen Xiao; Xixi Jia; Xiao Han 011; 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)

Pairwise learning for medical image segmentation. - Renzhen Wang; Shilei Cao 001; Kai Ma 002; Yefeng Zheng 001; Deyu Meng (Medical Image Anal., 2021)

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. - Xianli Zhang; Buyue Qian; Yang Li 139; Zeyu Gao 001; Chong Guan; Renzhen Wang; Yefeng Zheng 001; Hansen Zheng; Chen Li 011 (ICDM, 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)

Unsupervised Local Discrimination for Medical Images. - Huai Chen; Renzhen Wang; Xiuying Wang 001; Jieyu Li; Qu Fang; Hui Li; Jianhao Bai; Qing Peng; Deyu Meng; Lisheng Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction. - Yichen Wu; Long-Kai Huang; Renzhen Wang; Deyu Meng; Ying Wei 001 (ICLR, 2024)

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)

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning. - Yichen Wu; Hongming Piao; Long-Kai Huang; Renzhen Wang; Wanhua Li 001; Hanspeter Pfister; Deyu Meng; Kede Ma; Ying Wei 001 (ICLR, 2025)

DS-Net: A model driven network framework for lesion segmentation on fundus image. - Feiyu Tan; Yuhan Wang; Qi Xie; Jiahong Fu; Renzhen Wang; Deyu Meng (Knowl. Based Syst., 2025)

S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning. - Yichen Wu; Hongming Piao; Long-Kai Huang; Renzhen Wang; Wanhua Li 001; Hanspeter Pfister; Deyu Meng; Kede Ma; Ying Wei 001 (CoRR, 2025)

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)