师资队伍

助理教授/特聘研究员，硕导、博导

主持国家自然科学基金青年项目1项、面上项目1项，以及广东省面上项目1项；参与国家自然科学基金项目4项。在IEEE TIP、IEEE TMI、Bioinformatics、《中国科学:信息科学》、CVPR、ICCV、NeurIPS、ICML、AAAI等国内外知名期刊会议发表论文数十篇。

科研项目

1. 国家自然科学基金-面上项目，62576217，跨样本一致性深度特征学习研究，2026/01至2029/12，50万，主持

2. 国家自然科学基金-青年项目，62006256，小波卷积网络研究及其应用，2021/01至2023/12，30万，主持

3. 广东省基础与应用基础研究基金-面上项目，2022A1515012125，三维脑神经元图像的小波卷积网络实例分割，2022/01至2024/12，10万，主持

4. 国家自然科学基金-国际 (地区) 合作与交流项目，82261138629, 可信AI驱动的下一代新冠肺炎精准医疗，2023/01至 2025/12，200万，参与

5. 国家自然科学基金-重大研究计划，91959108，基于多数据融合深度网络的甲状腺肿瘤精准诊断，2020/01至 2022/12，73万，参与

发表论文

1. Qiufu Li, Zewen Li, Linlin Shen*, “Learning Discriminative Features within Forward-Forward Algorithm using Convolutional Prototype,” Pattern Recognition (CCF-B类、1区期刊), 2026, 已接收

2. Xinle Dai, Qiufu Li*, Linlin Shen, Wenting Chen, Weijia Fan, “MNSeg: Mamba-based 3D Neuron Segmentation Integrated with Bidirectional Attention Mechanism and Topological Loss,” Neurocomputing (2区期刊), 2026, 已接收
   

3. Weijia Fan, Qiufu Li*, Jiajun Wen, Xiaoyang Peng, “BCE3S: Binary Cross-entropy based Tripartite Synergistic Learning for Long-tailed Recognition,” The Fortieth AAAI Conference on Artificial Intelligence (AAAI, CCF-A类会议), 2026, 已接收

4. Weijia Fan, Yan Huang, Zhixiang Cai, Chunsong Chen,Yanxi Liu, Jiajun Wen, Xi Jia, Linlin Shen, Jiancan Zhou, Qiufu Li*, “AEPL: Adaptive Empirical Prototype Learning with Dynamic Margins for Deep Face Recognition,” Pattern Analysis and Applications (CCF-C类期刊), 2026, 29:5

5. Qiufu Li, Huibin Xiao, Linlin Shen*, “BCE vs. CE in Deep Feature Learning,” Proceeding of the 42^nd International Conference on Machine Learning (ICML, CCF-A类会议), 2025

6. Ziqi Gao^#, Qiufu Li^#, Linlin Shen*, “DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effecitve Cross-Domain Learning,” Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV, CCF-A类会议), 2025, 3488-3498

7. Qiufu Li, Linlin Shen*, “Dual-branch Interactive Cross-frequency Attention Network for Deep Feature Learning,” Expert Systems With Applications (1区期刊), 2024, 254, 124406

8. Qiufu Li^#, Xi Jia^#, Jiancan Zhou^#, Linlin Shen*, Jinming Duan, “UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition,” Advances in Neural Information Processing Systems (NeurIPS, CCF-A类会议), 2023, 36, 32732-32747

9. Jiancan Zhou^#, Xi Jia^#, Qiufu Li^#, Linlin Shen*, Jinming Duan, “UniFace: Unified Cross-Entropy Loss for Deep Face Recognition,” Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV, CCF-A类会议), 2023, 20730-20739

10. Qiufu Li, Linlin Shen*, “Neuron Segmentation Using 3D Wavelet Integrated Encoder–decoder Network,” Bioinformatics (CCF-B类、3区期刊), 2022, 38(3), 809-817

11. Qiufu Li, Linlin Shen*, Sheng Guo, Zhihui Lai, “WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-robust Image Classification,” IEEE Transactions on Image Processing (CCF-A类、1区期刊), 2021, 30, 7074-7089

12. Qiufu Li, Linlin Shen*, Sheng Guo, Zhihui Lai, “Wavelet Integrated CNNs for Noise-Robust Image Classification,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A类会议), 2020, 7245-7254

13. Qiufu Li, Yu Zhang, Hanbang Liang, Hui Gong, Liang Jiang*, Qiong Liu*, Linlin Shen*, “Deep Learning Based Neuronal Soma Detection and Counting for Alzheimer’s Disease Analysis,” Computer Methods and Programs in Biomedicine (2区期刊), 2021, 203, 106023

14. Qiufu Li, Linlin Shen*, “3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks,” IEEE Transactions on Medical Imaging (TMI, 1区、CCF-B类期刊), 2020, 39(2), 425-435

15. Qiufu Li, Linlin Shen*, “WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation,” Chinese Conference on Pattern Recognition and Computer Vision (PRCV, CCF-C类会议), 2022, 325-337

16. Ya’nan Zhang, Qiufu Li, Xu Wu, Nan Mu, Xiaoning Li, Linlin Shen*, “A Wavelet-guided Deep Unfolding Network for Single Image Reflection Removal,” IEEE Transactions on Image Processing (CCF-A类、1区期刊), 2025, 34, 4040-4051

17. Ya’ning Zhang, Qiufu Li, Zitong Yu, Linlin Shen*, “Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection,” Pattern Recognition (PR, 1区、CCF-B类期刊), 2025, 161, 111253

18. Junpeng Yang, Qiufu Li, Linlin Shen*, “PointSurFace: Discriminative Point Cloud Surface Feature Extraction for 3D Face Recognition,” Pattern Recognition (PR, 1区、CCF-B类期刊), 2024, 156, 110858

19. Ya’nan Zhang, Linlin Shen*, Qiufu Li, “Content and Gradient Model-driven Deep Network for Single Image Reflection Removal,” Proceedings of the 30^th ACM International Conference on Multimedia (ACMMM, CCF-A类会议), 2022, 6802-6812

20. Ziqi Gao, Qiufu Li, Linlin Shen*, Junpeng Yang, “3DFaceMAE: Pre-training of Masked Autoencoder Using Patch-Based Random Masking Reconstruction and Super-resolution for 3D Face Recognition,” Chinese Conference on Pattern Recognition and Computer Vision (PRCV, CCF-C类会议), 2024, 488-503

21. Ziqi Gao, Qiufu Li, Gui Wang, Linlin Shen*, “PointFaceFormer: Local and Global Attention Based Transformer for 3D Point Cloud Face Recognition,” IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG, CCF-C类会议), 2024, 1-8

22. Le Chang, Yongdong Huang*, Qiufu Li, Yuduo Zhang, Lijun Liu, Qingjian Zhou, “DUGAN: Infrared and Visible Image Fusion Based on Dual Fusion Paths and a U-type Discriminator,” Neurocomputing (2区期刊), 2024, 578, 127391

23. Le Chang, Yongdong Huang*, Qiufu Li, Weijiang Su, Yuduo Zhang, “L²Net: Infrared and Visible Image Fusion Using Lightweight Large Kernel Convolution Network,” IEEE Transactions on Instrumentation and Measurement (2区期刊), 2023, 72, 5031713

24. Weijiang Su, Yongdong Huang*, Qiufu Li, Fengyuan Zuo, Lijun Liu, “Infrared and Visible Image Fusion Based on Adversarial Feature Extraction and Stable Image Reconstruction,” IEEE Transactions on Instrumentation and Measurement (2区期刊), 2022, 71, 2510214

25. Qiufu Li*, Derong Chen, Wei Jiang, Bingtai Liu, Jiulu Gong, “Generalization of SPIHT: Set Partition Coding System,” IEEE Transactions on Image Processing (CCF-A类、1区期刊), 2016, 25(2), 713-725

26. 李秋富, 谌德荣, 何光林*, 冯辉, 杨柳心, “最大误差可控的高光谱图像聚类压缩算法,” 电子与信息学报, 2015, 37(2), 255-260

27. 黄永东*, 李秋富, “a进制最小能量区间小波框架的构造,” 中国科学:信息科学, 2013, 43(4), 469-487