教师简介 Short Bio

操晓春,中山大学信息学部副主任、网络空间安全学院院长、校学术委员会委员。在人工智能与网络空间安全的交叉领域从事应用基础研究;发表TPAMI文章50余篇,所有文章获得Google引用40000余次,H-index 97;青A延续项目/国家杰出青年/优秀青年基金获得者、万人计划青年拔尖人才;获得省部级一等奖和二等奖各2项。先后兼任TPAMI/TMM/TCSVT的Associate Editor、TIP的Senior Area Editor、电子学报的领域编委、中国电子学会理事、青工委副主任,中国网络空间安全学会理事、中国图象图形学学会理事。指导研究生获得中国电子学会优博优硕、CCF优博、中科院优博论文6篇次;指导的研究生有8人入选国家级人才计划。

Dr. Xiaochun Cao is the Dean of School of Cyber Science and Technology, Sun Yat-sen University. His research interests include: artificial intelligence especially computer vision, and content analysis in cyber space, etc. He received the B.E. and M.E. degrees both in computer science from Beihang University (BUAA), China, and the Ph.D. degree in computer science from the University of Central Florida, USA, with his dissertation nominated for the university level Outstanding Dissertation Award. After graduation, he spent about three years at ObjectVideo Inc. as a Research Scientist. Before joining SYSU, he was a professor at Institute of Information Engineering, Chinese Academy of Sciences. He has authored and coauthored over 300 journal and conference papers. In 2004 and 2010, he was the recipients of the Piero Zamperoni best student paper award at the International Conference on Pattern Recognition.
Dr. Cao was the recipients of Outstanding Young Scientists Fund and Excellent Young Scientists Fund of National Natural Science Foundation of China, in 2020 and 2014, respectively. He is on the editorial boards of IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, and Acta Electronica Sinica. He was on the editorial board of IEEE Transactions on Circuits and Systems for Video Technology. 
Four of Prof. Cao's former Ph.D. students, Xiaojie Guo(2013), Changqing Zhang(2016), Xiao wang(2016), and Wenqi Ren(2017), were the recipients of Excellent Young Scientists Fund of National Natural Science Foundation of China or National High-level personnel of special support program. Three of his former Ph.D. students, Wenqi Ren(2017), Ke Ma(2019), Pengwen Dai(2022), were the winners of China Computer Federation (CCF)/Chinese Institute of Electronics(CIE)/Chinese Academy of Sciences(CAS)/  Doctoral Dissertation Awards.

Email:caoxiaochun@mail.sysu.edu.cn (I am actively looking for talented and motivated stduents and Postdocs! Please contact!)

Teaching

  • Frontiers of Cyber Science and Technology-II, Undergraduate, Spring 2024/2025/2026
  • Frontiers of Cyber Science and Technology-I, Undergraduate, Fall 2023/2024/2025/2026
  • Frontiers of Information Science, Graduate, Spring 2023/Fall 2023
  • Discrete Mathematics, Undergraduate, Fall 2022
  • Artificial Intelligence Security, Graduate, Fall 2022
  • Discrete Mathematics, Undergraduate, Spring 2020 (UCAS)
  • Discrete Mathematics, Undergraduate, Spring 2019 (UCAS)

研究领域 Research Field

        大模型与智能体安全,网络空间内容安全、AI4Science

Recent Publications 【Full List】

  1. Enneng Yang, Li Shen, Guibing Guo, Xing-Wei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao: Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications, and Opportunities. ACM Comput. Surv. 58(8): 216:1-216:41 (2026)
  2. Zitai Wang, Qianqian Xu, Zhiyong Yang, Zhikang Xu, Linchao Zhang, Xiaochun Cao, Qingming Huang: A Unified Perspective for Loss-Oriented Imbalanced Learning via Localization. IEEE Trans. Pattern Anal. Mach. Intell. 48(1): 639-656 (2026)
  3. Shilong Bao, Qianqian Xu, Feiran Li, Boyu Han, Zhiyong Yang, Xiaochun Cao, Qingming Huang: Toward Size-Invariant Salient Object Detection: A Generic Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 48(2): 1115-1132 (2026)
  4. Zuomin Qu, Wei Lu, Xiangyang Luo, Qian Wang, Xiaochun Cao: ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification. IEEE Trans. Pattern Anal. Mach. Intell. 48(2): 1720-1735 (2026)
  5. Jie Wen, Yicheng Liu, Chao Huang, Chengliang Liu, Yong Xu, Xiaochun Cao: Causal Interventional Prompt Tuning for Few-Shot Out-of-Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 48(2): 1978-1991 (2026)
  6. Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao: Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 2329-2341 (2026)
  7. Yangbangyan Jiang, Qianqian Xu, Huiyang Shao, Zhiyong Yang, Shilong Bao, Xiaochun Cao, Qingming Huang: Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations. IEEE Trans. Pattern Anal. Mach. Intell. 48(3): 3482-3498 (2026)
  8. Zhiyong Yang, Qianqian Xu, Sicong Li, Zitai Wang, Xiaochun Cao, Qingming Huang: DirMixE: Harnessing Test Agnostic Long-Tail Recognition With Hierarchical Label Vartiations. IEEE Trans. Pattern Anal. Mach. Intell. 48(4): 4605-4622 (2026)
  9. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang: CAKGE: Context-Aware Adaptive Learning for Dynamic Knowledge Graph Embeddings. IEEE Trans. Pattern Anal. Mach. Intell. 48(6): 6225-6240 (2026)
  10. Kaihang Jiang, Wai Keung Wong, Xiaozhao Fang, Weijun Sun, Guoxu Zhou, Shengli Xie, Xiaochun Cao: An Efficient Regenerated Cross-Modal Hashing: Improving Existing Hash Codes With the Arbitrary Length. IEEE Trans. Pattern Anal. Mach. Intell. 48(9): 10382-10400 (2026)
  11. Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao: Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration. IEEE Trans. Pattern Anal. Mach. Intell. 48(9): 11139-11150 (2026)
  12. Jianwei Fei, Yunshu Dai, Zhihua Xia, Xiaochun Cao, Jiantao Zhou, Alessandro Piva, Benedetta Tondi: Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models. IEEE Trans. Pattern Anal. Mach. Intell. 48(10): 13044-13061 (2026)

主要学术兼职 Professional Associations, Service, and Awards

  • Associate Editor: IEEE Transactions Pattern Analysis and Machine Intelligence (2023.04-) 
  • Senior Area Editor: IEEE Transactions on Image Processing (2019.07-) 
  • Associate Editor: IEEE Transactions on Multimedia (2019.01-)
  • Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) (2018.01-2021.12)
  • Associate Editor of IEEE Transactions on Image Processing (2015.07-2019.07) 
  • Area Chair: ICML 2023/2024
  • Area Chair: IJCAI 2021/2023/2024
  • Area Chair: ECCV 2024
  • Area Chair: IEEE ICCV 2021/2023
  • Area Chair: NeurIPS 2021/2022/2023
  • Area Chair: IEEE CVPR 2021/2023
  • Area Chair: ACMMM 2023
  • Meta-Reviewer: AAAI 2022
  • Senior PC Member: IJCAI 2022
  • Track Chair: ACMMM 2021
  • Area Chair: IAPR ICPR 2020
  • 编委:《电子学报》
    Editorial board member:《Acta Electronica Sinica》
  • Frontier of Computer Science (青年AE)(2013.01-2021.12)
  • 中国计算机学会杰出会员
    Distinguished Member, China Computer Federation (CCF)
  • 中国图像图形学会理事
    Board member, China Society of Image and Graphics(CSIG)
  • 中国电子学会会士
    Fellow, The Chinese Institute of Electronics(CIE)

部分指导的学生 Alumni

毕业时间

姓名

论文题目/学生类型

现单位

职称

备注

2026.07

熊源

博士后

启元国家实验室

 

 

2026.06

陈若愚

面向模型可靠性的高保真归因技术研究

MSU  

博士后

 

刘心玮

视觉数据版权隐私的对抗性主动防御研究

HK Polytechnic

 

 

寻源

面向图文跨模态场景的多域后门攻防技术

蚂蚁科技

 

 

2025.11

王维

博士后

中山大学

副教授

 

2025.01

孙上荃

恶劣成像条件下的图像恢复及其应用

NTU

 

 

2024.07

罗君

自适应低质图像增强研究

启元国家实验室

 

 

2024.01

韩冰

开放场景下的人脸深度伪造识别

中国电子

 

 

2023.06

梁思源

深度目标检测器的安全风险与攻击方法研究

NTU

 

 

加小俊

面向图像识别的深度学习对抗鲁棒性研究

NTU

 

中国电子学会 优博

2023.01

蒋彧琛

工业设备的剩余使用寿命预测方法研究

中山大学

讲师

 

2022.07

罗时蕊 

基于多视角学习的子空间聚类研究

中国电科

 

 

代朋纹

复杂形态场景文字检测与识别研究

中山大学

副教授

中科院 优博

尧思远

基于动态表观建模的深度视觉跟踪

中山大学

副教授

 

严彦阳

先验知识驱动的图像视频复原模型研究

中国传媒大学

副教授

 

王潇

基于光照和光谱反射率的阴影分析方法研究

中国航空工业

 

 

2022.01

李京知

人脸认证环境下的隐私防护技术研究

北京科技大学

副教授

 

尤玮珂

空域图像深度隐写分析方法研究

北京邮电大学

讲师

 

2021.07

张三义

空间语义关联的人像内容感知研究

中国传媒大学

副教授

 

2020.07

王川

基于关系一致的图像集中共存实例挖掘

北京交通大学

副教授

 

吴庆波

基于高阶滤波的雾化图像复原算法研究

天津理工大学

副教授

 

2019.07

马坷

基于监督学习的鲁棒有序嵌入研究

中国科学院大学

副教授

青年拔尖/中科院/中国电子学会优博

2017.07

荆丽桦

硕士

中科院信工所

助理研究员

 

2017.07

任文琦

融合结构先验的图像及视频去模糊研究

中山大学

教授

青B/CCF优博

2016.07

杨亮

基于成对监督信息的半监督社区发现研究

河北工业大学

教授、副院长

 

2016.01

杜玲

面向多媒体认证的数字水印技术研究

天津工业大学

副教授

 

王啸

基于生成模型和矩阵分解的社区发现算法研究

北京航空航天大学

教授

青B

张长青

基于自表达的多视角子空间聚类方法研究

天津大学

教授

青年拔尖

2015.07

陶志强

硕士

Rochester Institute of Technology

AP

 

2015.07

张华

基于嵌入结构性信息视觉特征的图像理解模型研究

中科院信工所

研究员

青年拔尖

韦星星

基于结构化信息的图像内容分析与理解研究

北京航空航天大学

教授

青年拔尖

2014.07

陈静静

硕士

复旦大学

教授

青B

2013.06

付华柱

图像协同关联性约束的研究与应用

新加坡A*STAR

Principal Scientist

CCF优博提名

郭晓杰

图像准稠密匹配及协分割

天津大学

教授

青年拔尖