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刘锦，男，中南大学计算机学院教授，博/硕士研究生导师，湖南省普通高校青年骨干教师，湖南省优秀研究生导师团队核心骨干，IEEE/CCF/CSIG高级会员，CCF生物信息学专委会委员，CSIG脑图谱专委会委员，CSIG医学影像专委会委员，湖南省数字医学学会医学智能影像分会常务委员，湖南省神经科学学会帕金森病及运动障碍疾病专委会委员，主要研究方向是人工智能、医疗及健康大数据分析与挖掘、健康监测智能设备研发等。目前已在IEEE TMI、MedIA、ACL、AAAI等国际学术期刊或会议上发表高水平学术论文80余篇，其中IEEE Transactions系列20余篇，ESI Top 1% 高被引论文6篇，据Google Scholar统计显示总引用3800余次，单篇最高引用500余次，H指数为30，入选美国斯坦福大学发布的全球前2%顶尖科学家榜单（2023/2024），《Big Data Mining and Analytics》、《Health Information Science and Systems》等多个国际期刊编委。主持或作为科研骨干参与国家重点研发计划、国家自然科学基金面上基金、湖南省重点领域研发计划等省部级科研项目10余项，荣获湖南省科学技术进步奖二等奖、中国研究型医院学会医学研究创新奖二等奖、湖南省医学会医学科学技术奖一等奖、湖南省预防医学科学技术奖二等奖、中华医学会中华医学科技奖医学科学技术奖三等奖、《Big Data Mining and Analytics》优秀编委（2024）等多项学术奖励。指导本科生/研究生获得中国大学生服务外包创新创业大赛一等奖等多项竞赛奖励。

欢迎在读本科生、硕博士生加盟团队或短期交流，一起做一些有利于国家和个人发展的学术成果。

代表性论文:(DBLP、Google Scholar)

1. 【1】Jin Liu, Junbin Mao, Hanhe Lin, Hulin Kuang, Shirui Pan, Xusheng Wu, Shan Xie, Fei Liu, and Yi Pan. Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery,  IEEE Transactions on Computational Biology and Bioinformatics, 22(2): 842-854, 2025.
   

2. 【2】Junbin Mao, Jin Liu*, Xu Tian, Yi Pan, Emanuele Trucco, and Hanhe Lin. Towards Integrating Federated Learning with Split Learning via Spatio-temporal Graph Framework for Brain Disease Prediction, IEEE Transactions on Medical Imaging, 44(3): 1334-1346, 2025.

3. 【3】Xu Tian, Hong-Dong Li, Hanhe Lin, Chao Li, Yu-Ping Wang, Harrison X Bai, Wei Lan, and Jin Liu*. Inspired by Pathogenic Mechanisms: A Novel Gradual Multi-modal Fusion Framework for Mild Cognitive Impairment Diagnosis, Neural Networks, 187, 107343, 2025.

4. 【4】Jin Liu, Xiaokang Pan, Junwen Duan, Hong-Dong Li, Youqi Li, and Zhe Qu. Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. Proceedings of the AAAI Conference on Artificial Intelligence, 38(12), 13927-13935, 2024.

5. 【5】Rui Guo, Xu Tian, Hanhe Lin, Stephen McKenna, Hongdong Li, Fei Guo, and Jin Liu*. Graph-based Fusion of Imaging, Genetic and Clinical data for Degenerative Disease Diagnosis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(1): 57- 68, 2024.

6. 【6】Jin Liu, Weixing Zeng, Shichao Kan, Min Li, Ruiqing Zheng, CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification, Briefings in Bioinformatics, 25(1), bbad475, 2024.
   

7. 【7】Jin Liu, Dejiao Zeng, Ludi Li, Hanhe Lin, and Xu Tian. Source-free Domain Adaptation for Millimeter Wave Radar based Human Activity Recognition.ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 7120-7124.

8. 【8】Junwen Duan, Fangyuan Wei, Hongdong Li, Tianming Liu, Jianxin Wang and Jin Liu*. CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. Findings of the Association for Computational Linguistics: ACL 2023, 1819–1826.

9. 【9】Jianhong Cheng, Jin Liu*, Hulin Kuang, and Jianxin Wang. A Fully Automated Multimodal MRI-based Multi-task Learning for Glioma Segmentation and IDH Genotyping. IEEE Transactions on Medical Imaging, 41(6): 1520-1532, 2022. （ESI高被引）

10. 【10】Junjian Li, Jin Liu*, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison Bai, Yuping Wang, and Jianxin Wang. DARC: Deep Adaptive Regularized Clustering for Histopathological Image Classification. Medical Image Analysis, 80: 102521, 2022.