王仁振  (助理教授)

研究领域

• 面向大模型持续学习与知识编辑的算法研究 (2023-至今): 近年来聚焦大模型在开放动态环境中的持续学习与知识编辑问题，致力于提升模型在知识更新过程中的稳定性与可控性

• 面向数据偏差的机器学习算法研究（2020-至今）：近年来主要围绕弱标注学习、持续学习，结合深度学习和传统统计/优化方法来建模数据偏差场景中广泛存在的分布不适配问题

• 面向计算机辅助诊断的智能算法研究（2016-至今）：博士阶段一直从事医学影像分析问题的研究，致力于从临床发掘有价值的科研问题，开发高效而可靠的器官分割、病灶识别和检测方法

学术论文 （*代表通讯作者）

1. Renzhen Wang, De cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng. Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. （机器学习顶刊，中科院一区）

2. Quanziang Wang, Renzhen Wang*, Yichen Wu, Xixi Jia, Minhao Zhou, Deyu Meng. Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. （机器学习顶刊，中科院一区）

3. Zhiwu Wang, Yichen Wu, Renzhen Wang*, Haokun Lin, Quanziang Wang, Qian Zhao*, Deyu Meng. Singular Value Fine-tuning for Few-shot Class-incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2026. （机器学习顶刊，中科院一区）

4. Xueqing Sun, Renzhen Wang*, Quanziang Wang, Yichen Wu, Xixi Jia, Deyu Meng. Semi-Supervised Regression with Heteroscedastic Pseudo-Labels. Neural Information Processing Systems (NeurIPS), 2025. （机器学习顶会）

5. Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei. SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning. International Conference on Learning Representations (ICLR), 2025. (Oral，机器学习顶会)

6. Quanziang Wang, Renzhen Wang*, Yuexiang Li, Dong Wei, Hong Wang, Kai Ma, Yefeng Zheng, Deyu Meng. Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship. IEEE Transactions on Multimedia (TMM), 2024. (机器学习顶刊，中科院一区)

7. Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei. Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction. International Conference on Learning Representations (ICLR), 2024. (Oral; Outstanding Paper Honorable Mention, 机器学习顶会)

8. Quanziang Wang, Renzhen Wang*, Yichen Wu, Xixi Jia, Deyu Meng*. CBA: Improving Online Continual Learning via Continual Bias Adaptor. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. （机器学习顶会）

9. Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng. Imbalanced Semi-supervised Learning with Bias Adaptive Classifier. International Conference on Learning Representations (ICLR), 2023. （机器学习顶会）

10. Huai Chen, Renzhen Wang, Xiuying Wang, Jieyu Li, Qu Fang, Hui Li, Jianhao Bai, Qing Peng, Deyu Meng, Lisheng Wang. Unsupervised Local Discrimination for Medical Images. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. （机器学习顶刊，中科院一区）

11. Renzhen Wang, Yichen Wu, Huai Chen, Lisheng Wang, Deyu Meng. Neighbor matching for semi-supervised learning. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. (Early Accept, 医学图像处理顶会)

12. Renzhen Wang, Shilei Cao, Kai Ma, Yefeng Zheng, Deyu Meng. Pairwise learning for medical image segmentation. Medical Image Analysis (MedIA), 2021 (Special Issue on MICCAI 2019，医学图像处理顶刊，中科院一区)

13. Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng. Pairwise semantic segmentation via conjugate fully convolutional network. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. (Early Accept; Oral, <3%; one of Highest Ranking Papers, 医学影像处理顶会)

14. Renzhen Wang, Benzhi Chen, Deyu Meng, Lisheng Wang. Weakly supervised lesion detection from fundus images. IEEE Transactions on Medical Imaging (TMI), 2018. (医学图像处理顶刊，中科院一区)

15. Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li. Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. IEEE International Conference on Data Mining (ICDM), 2022. (数据挖掘顶会)

16. Huai Chen, Jieyu Li, Renzhen Wang, Yijie Huang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang. Unsupervised learning of local discriminative representation for medical images. Information Processing in Medical Imaging (IPMI), 2021. (医学图像处理顶会)

17. Yi-Jie Huang, Weiping Liu, Xiuying Wang, Qu Fang, Renzhen Wang, Yi Wang, Huai Chen, Hao Chen, Deyu Meng, Lisheng Wang. Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition. IEEE Transactions on Medical Imaging (TMI), 2020.  (医学图像处理顶刊，中科院一区)

18. Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng. LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. IEEE Computer Vision and Pattern Recognition (CVPR), 2020. (机器学习顶会)

发明专利

1. 王仁振, 王全子昂, 孟德宇. 一种在线持续学习场景下的图像对偶分类方法及装置, 2025-11-07, 中国.

2. 曹世磊, 王仁振, 马锴, 郑冶枫. 医学影像分割方法、装置、电子设备和存储介质, 2021-4-20, 中国.

3. Cao Shilei, Wang Renzhen, Ma Kai, Zheng Yefeng. Method and Apparatus for Segmenting a Medical Image, and Storage Medium, 2021-11-25, 美国.

学术服务

• 期刊审稿

• IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)

• IEEE Transactions on Medical Imaging (TMI)

• IEEE Transactions on multimedia (TMM)
  

• Medical Image Analysis (MedIA)

• 会议审稿

• MICCAI: 2021, 2022, 2023, 2024, 2025 (Area Chair)

• ICML: 2022, 2023, 2024, 2025

• NeurIPS: 2022, 2023, 2024, 2025

• ICLR: 2024, 2025, 2026

• CVPR: 2024, 2025, 2026

• ICCV: 2025