孔佑勇
职称:副高
所在院系:影像科学与技术系
研究方向:
电话:
邮箱:kongyouyong@seu.edu.cn
职务:副院长
个人简介

孔佑勇,博士,东南大学计算机科学与工程学院、软件学院、人工智能学院 副教授,博士生导师,学院 党委委员、副院长、工会主席、教学委员会委员。2008年、2011年先后于东南大学软件学院、计算机科学与工程学院获学士、硕士学位,2014年于香港中文大学获博士学位,同年加入东南大学计算机科学与工程学院、软件学院、人工智能学院主持国家重点研发计划课题1项,国家自然科学基金3项,江苏省自然科学基金1项。研究方向为人工智能(大模型)与交叉应用,在IEEE TMIMedIATAFFC、TNSRE、ICML、CVPR、AAAI、NeurIPS等人工智能期刊与会议发表学术论文80余篇。

Youyong Kong, Ph.D., is an associate professor and doctoral supervisor at the School of Computer Science and Engineering, College of Software and Engineering, and School of Artificial Intelligence of Southeast University. He serves as a member of the Party Committee, Vice Dean, and member of the Teaching Committee of the school. He received his bachelor's degree from the College of Software and Engineering and his master's degree from the School of Computer Science and Engineering of Southeast University in 2008 and 2011, respectively. He earned his Ph.D. from The Chinese University of Hong Kong in 2014 and joined the School of Computer Science and Engineering, College of Software and Engineering, and School of Artificial Intelligence of Southeast University in the same year. He has led one key project under the National Key R&D Program, three projects under the National Natural Science Foundation of China, and one project under the Natural Science Foundation of Jiangsu Province. His research focuses on artificial intelligence (large models) and interdisciplinary applications. He has published over 80 academic papers in leading artificial intelligence journals and conferences such as IEEE TMI, MedIA, TAFFC, TNSRE, ICML, CVPR, AAAI, and NeurIPS.

研究方向

大模型、图计算、人工智能应用

教育经历
工作经历
科研项目

[1] 国家重点研发计划项目 2024YFB4303805 空中交通多模态信息感知与智能管制指挥技术,2025-2028,课题负责人

[2] 国家自然科学基金 62471133 基于脑白质及灰质连接的抑郁症智能诊断方法研究,2025-2028,项目负责人

[3] 国家自然科学基金 31800825 融合多模态脑成像的群组及个性化丘脑核团分区研究,2019-2022,项目负责人

[4] 国家自然科学基金 31640028  基于静息态功能磁共振成像的大脑功能分区研究,2017-2017,项目负责人

[5] 江苏省自然科学基金 BK20150650 基于功能连接构建大脑功能分区关键技术研究,2015-2018,项目负责人

论文著作

1 [TMI 2025] Kong Youyong (*), Zhang Xiaotong, Wang Wenhan, Zhou Yue, Li Yueying, Yuan Yonggui(*). Multi-Scale Spatial-Temporal Attention Networks for Functional Connectome Classification. IEEE Transactions on Medical Imaging, 2025, 44(1): 475-488.

[MedIA 2025] Zhu Yihui, Zhou Yue, Zhang Xiaotong, Li Yueying, Yuan Yonggui, Kong Youyong (*). MSARAE: Multiscale Adversarial Regularized Autoencoders for Cortical Network Classification. Medical Image Analysis , 2025, in press.

[TAI 2025] Li Jiaxing, Gao Jiayi, Gu Binhao, Kong Youyong (*)Let Invariant Learning Inspire Neighbor-shift Generalization on Graphs. IEEE Transactions on Artificial Intelligence , 2025, in press.

4 [AAAI 2025] Song Lei, Li Jiaxing, Si Qinghua, Guan Shihan, Kong Youyong (*)Exploring Rationale Learning for Continual Graph Learning. Annual AAAI Conference on Artificial Intelligence , 2025

[AAAI 2025] Jia Jinghong, Song Lei, Li Jiaxing, Kong Youyong (*)HePa: Heterogeneous Graph Prompting For All-level Classification TasksAnnual AAAI Conference on Artificial Intelligence, 2025.

[IJCAI 2025] Dong Rui, Li Jiaxing, Zheng Weihuang, Kong Youyong (*)Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation. International Joint Conference on Artificial Intelligence, 2025.

7 [ICML 2025] Zheng Weihuang, Liu Jia Shun, Li Jiaxing, Wu Jiayun, Cui PengKong Youyong (*). Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. International Conference on Machine Learning. 2025.

[TMI 2023] Kong Youyong (*), Wang Wenhan, Liu Xiaoyun, Gao Shuwen, Hou Zhenghua, Xie Chunming, Zhang Zhijun, Yuan Yonggui(*). Multi-Connectivity Representation Learning Network for Major Depressive Disorder DiagnosisIEEE Transactions on Medical Imaging. 2023, 42(10):3012-3024. 

9 [NeuIPS 2023] Ye Hongting, Zheng Yalu, Li Yueying, Zhang Ke, Kong Youyong (*), Yuan Yonggui. RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy. Neural Information Processing Systems. 2023.

10 [TAFFC 2022] Kong Youyong (*),  Niu Shuyi, Gao Heren, Yue Yingying,  Shu Huazhong, Xie Chuming, Zhang Zhijun, Yuan Yonggui(*). Multi-Stage Graph Fusion Networks for Major Depressive Disorder Diagnosis. IEEE Transactions on Affective Computing. 2022, 13(4):1917-1928.

专利
获奖情况

第十八届“吾爱吾师——我最喜爱的老师”最受欢迎教师(2022)

中华医学会科技奖(2025,排3)

江苏省医学科技奖(2023,排3)

东南大学教学成果奖 特等奖(2025,排10)

东南大学教学成果奖 二等奖(2021,排7)

江苏省优秀本科毕业设计指导老师(2024,陈闵恒)

东南大学优秀本科毕业设计指导老师(2025,王康行、杜晓欣)

东南大学优秀本科毕业设计指导老师(2024,王紫彤、陈闵恒

国家级大学生创新创业项目优秀结题(2025,吴一可&安宁&曾梓萱)

国家级大学生创新创业项目优秀结题(2019,吴锐&柳旭&马浩宇&孙君校&许璠)

学生招生

欢迎优秀本科生加入课题组开展科研训练(每年2组同学)!

欢迎攻读研究生同学提前联系(每年博士生 1-2名、硕士生3-5名)!

课题组与阿里、腾讯等大型互联网与国企建立深度合作,可以推荐学生到相关企业实习。


本科生指导

2019届:孙君校(东南)、马浩宇(美国UCI)

2020届:李嘉兴(东南)、张可(东南)、许璠(南大)、王琳淞(美国东北大学)、刘永帆(美国UCI)

2021届:郑雅璐(东南)、胡秋冉(英伟达)

2022届:叶宏庭(东南)、盛乐恒(清华)、梅磊(复旦)、徐远琛(新加坡国立)

2023届:任丽蓉(东南)、赖泽升(东南、杨喆(港中文)

2024届:王紫彤(东南)、刘芳菲(银行)、王星越(东南)、陈闵恒(美国读博)

2025届:王康行(东南)、杜晓欣(东南)、胡书华(东南


研究生发展(包括联合指导)

2019届:任州甫(HW)、吴颖真(银行国奖)、熊子瑾(银联)

2020届:李艺飞(金仕达)、吴飞(HW)

2021届:高和仁(字节,国奖)、高舒雯(网易)孙磊(小红书)、王如梦(小米)周彬(千问)

2022届:孙君校(HW,国奖宋涛(体制内)孙子奇(腾讯)于向前(体制内)袁歆雨(微软)周钰雯(英特尔)

2023届:李嘉兴(读博)王文涵(HW)、张可(字节,国奖)缑通旺(字节)、牛舒怡(阿里,国奖)、浦新言(携程)、李凡(普连)

2024届:郭达璐(银行)、詹纪超(阿里)朱益辉(读博)郑雅璐(SAP)、张姿悦(SAP)、王可颐(中移动)高佳奕(美团)

2025届:司清华(美团)张晓彤(中车)张晟(腾讯)、刘馥塬(HW)皮雳(阿里)叶宏庭(阿里,国奖、郭子豪(阿里)



  • 联系方式
  • 通信地址:南京市江宁区东南大学路2号东南大学九龙湖校区计算机学院
  • 邮政编码:211189
  • ​办公地点:东南大学九龙湖校区计算机楼
  • 学院微信公众号