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，国家杰出青年/优秀青年基金获得者。主要从事人工智能基础研究和网络空间内容安全应用研究；发表ACM/IEEE 汇刊100余篇，CCF-A类期刊及会议长文文章160余篇；Google引用20000余次，H-index 65；获得省部级一等奖和二等奖各1项。现兼任TPAMI的Associate Editor、TIP的Senior Area Editor、电子学报的编委，曾兼任TMM和TCSVT的的Associate Editor，10余次兼任NeurIPS/ICCV/CVPR/IJCAI/ACMMM的Area/Track Chairs。指导博士生获得中国电子学会优博、CCF优博、中科院优博论文3篇次；指导的研究生有4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

研究领域 Research Field

        人工智能安全，网络空间内容安全
        Computer Vision and its applications in Cybersecurity

Recent Publications 【Full List】

  1. Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, and Qingming Huang. Positive-Unlabeled Learning with Label Distribution Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), To Appear
  2. Wenqiang Wang, Chongyang Du, Tao Wang, Kaihao Zhang, Wenhan Luo, Lin Ma, Wei Liu, Xiaochun Cao. Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models. NeurIPS, 2023
  3. Liang Yang, Runjie Shi, Qiuliang Zhang, Bingxin Niu, Zhen Wang, Chuan Wang and Xiaochun Cao. Self-supervised Graph Neural Networks via Low-Rank Decomposition. NeurIPS 2023
  4. Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang. A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. NeurIPS, 2023 (Spotlight)
  5. Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang. DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. NeurIPS, 2023
  6. Zhiyong Yang, Qianqian Xu Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang. Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations, IEEE Transactions on Pattern Analysis and Machine Intelligence, To Appear
  7. Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao,  Qingming Huang. AUC-Oriented Domain Adaptation: From Theory to Algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, To Appear
  8. Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao. "Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation", ACMMM 2023
  9. Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang. "Propagation is All You Need: A New Framework for Representation Learning and Classifier Training onGraphs", ACM MM 2023
  10. Jiarui Yang, Chuan Wang, Zeming Liu, Jiahong Wu, Dongsheng Wang, Liang Yang, Xiaochun Cao. "Focusing on Flexible Masks: A Novel Framework for Panoptic Scene Graph Generation with Relation Constraints", ACM MM 2023
  11. Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang, "Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing", ACM MM 2023
  12. Yulu Wang, Pengwen Dai, Xiaojun Jia, Zhitao Zeng, Rui Li, Xiaochun Cao. "Hi-SIGIR: Hierachical Semantic-Guided Image-to-image Retrieval via Scene Graph.", ACM MM 2023
  13. Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao, Qingming Huang. "PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs.", ACM MM 2023
  14. Sanyi Zhang, Xiaochun Cao, Rui Wang, Guo-Jun Qi, Jie Zhou, Exploring the Robustness of Human Parsers Towards Common Corruptions, IEEE Transactions on Image Processing, To Appear
  15. Yuning Cui, Wenqi Ren, Xiaochun Cao, Alois Knoll, Focal Network for Image Restoration， ICCV 2023
  16. Aiping Zhang, Wenqi Ren, Yi Liu, Xiaochun Cao, Efficient Image Super-Resolution with Superpixel Token Interaction, ICCV23
  17. Sixuan Liu, Jingzhi Li, Hua Zhang, Long Xu, and Xiaochun Cao, "Prediction with Visual Evidence: Sketch Classification Explanation via Stroke-Level  Attributions", IEEE Transactions on Image Processing, To Appear 
  18. Yushu Zhang , Jiahao Zhu , Mingfu Xue , Xinpeng Zhang , Xiaochun Cao, Adaptive 3D Mesh Steganography Based on Feature-Preserving Distortion, IEEE Transactions on Visualization and Computer Graphics, 2023
  19. Jingzhi Li, Hua Zhang, Siyuan Liang, Pengwen Dai, Xiaochun Cao, Privacy-Enhancing Face Obfuscation Guided by Semantic-Aware Attribution Maps, IEEE Transactions on Information Forensics and Security, To Appear
  20. Yushu Zhang, Xi Ye, Xiangli Xiao, Tao Xiang, Hongwei Li, and Xiaochun Cao, A Reversible Framework for Efficient and Secure Visual Privacy Protection, IEEE Transactions on Information Forensics and Security, To Appear
  21. Yuning Cui, Wenqi Ren, Sining Yang, Xiaochun Cao, Alois Knoll,  IRNeXt: Rethinking Convolutional Network Design for Image Restoration, ICML 2023
  22. Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, and Xiaochun Cao. LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity, IJCAI 2023
  23. Hua Zhang, Liqiang Xiao, Xiaochun Cao and Hassan Foroosh. "Multiple Adverse Weather Conditions Adaptation for Object Detection via Causal Intervention", IEEE Transactions on Pattern Analysis and Machine Intelligence, To Appear
  24. Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, and Licheng Jiao. Adversarial Multi-view Clustering Networks with Adaptive Fusion, IEEE Transactions on Neural Networks and Learning Systems, To Appear

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

部分指导的博士 Alumni 

Date 
Name
Dissertation
Current Position
2025.01 孙上荃 恶劣成像条件下的图像恢复及其应用，Image Restoration under Adverse Imaging Conditions and Its Applications

Research Fellow, Nanyang Technological University
2024.07 罗君 自适应低质图像增强研究，Research on Adaptive Low-Quality Image Enhancement

启元实验室 Qiyuan Lab
2024.01 韩冰 开放场景下的人脸深度伪造识别，Human Face Deepfake Detection in the Open Scenario

中国电子信息产业发展研究院 CCID
2023.07 梁思源 深度目标检测器的安全风险与攻击方法研究，Safety Risks and Attack Methods against Deep Object Detectors  Research

Research Fellow, National University of Singapore
加小俊 面向图像识别的深度学习对抗鲁棒性研究，Robustness of Deep Learning for Image Recognition 

Research Fellow, Nanyang Technological University
2023.01 蒋彧琛 工业设备的剩余使用寿命预测方法研究，Research on Remaining Useful Life Prediction Methods for Industrial Equipment 助理教授，中山大学
Assistant Professor, SYSU
2022.07
罗时蕊 
基于多视角学习的子空间聚类研究，Research on Subspace Clustering based on Multi-view Learning
中国电科智能科技研究院
CETC
代朋纹
复杂形态场景文字检测与识别研究，Complicated-shape Scene Text Detection and Recognition
副教授，中山大学
Associate Professor, SYSU
尧思远
基于动态表观建模的深度视觉跟踪，deep visual tracking with dynamic appearance modeling
讲师，北京邮电大学
Lecturer, BUPT
严彦阳 先验知识驱动的图像视频复原模型研究，Research on Image and Video Restoration via Prior Knowledge 特别研究助理，中国科学院计算技术研究所
Research Assistant Professor, ITA, CAS
王潇
基于光照和光谱反射率的阴影分析方法研究，Research on Shadow Analysis based on Illumination and Spectral Reflectance
博士后，西北工业大学
Postdoc，NWPU
2022.01
尤玮珂(联合指导)
空域图像深度隐写分析方法研究，Deep Image Steganalysis in Spatial Domain
讲师，北京邮电大学
Lecturer, BUPT
李京知
人脸认证环境下的隐私防护技术研究，Privacy Protection Technology in Face Authentication Scenarios
助理研究员，中国科学院信息工程研究所
Research Assistant Professor, IIE, CAS
2021.07
张三义(联合指导)
空间语义关联的人像内容感知研究，Human Image Content Perception with Spatial Semantic Relevance
助理研究员，中国科学院信息工程研究所
Research Assistant Professor, IIE, CAS
2020.07
吴庆波
基于高阶滤波的雾化图像复原算法研究，Atomized Image Restoration via High-order Filtering
副教授，天津理工大学
Associate Professor, Tianjin University of Technology
王川
基于关系一致的图像集中共存实例挖掘，Co-occurring Object Discovery in the Image Set with the Consistent Correspondences
特别研究助理（B类），中国科学院信息工程研究所
Research Associate Professor, IIE, CAS
2019.07
马坷
基于监督学习的鲁棒有序嵌入研究，Robust Ordinal Embedding based on the Supervised Learning
助理教授，中国科学院大学
Assistant Professor, UCAS
2017.07
任文琦
融合结构先验的图像及视频去模糊研究，Image and video deblurring via structural priors
教授，中山大学
Professor, SYSU
2016.07
杨亮
基于成对监督信息的半监督社区发现研究，Semi-supervised Community Detection with Pairwise Prior Information
教授/副院长，河北工业大学
Professor, Hebei University of Technology
2016.01
王啸
基于生成模型和矩阵分解的社区发现算法研究，Community Detection Algorithms based on Generative Model and Matrix Factorization
副教授，北京航空航天大学
Associate Professor, BUAA
张长青
基于自表达的多视角子空间聚类方法研究，Self-representation based Multiview Subspace Clustering
副教授，天津大学
Associate Professor, Tianjin University
杜玲
面向多媒体认证的数字水印技术研究，Multimedia Authentication Oriented Watermarking
副教授，天津工业大学
Associate Professor, Tiangong University
2015.07
韦星星
基于结构化信息的图像内容分析与理解研究，Multimedia Theory and Application Based on Structured Information
副教授，北京航空航天大学
Associate Professor, BUAA
张华
基于嵌入结构性信息视觉特征的图像理解模型研究，Image Understanding via Embedding Structured Feature Representation
副研究员，中国科学院信息工程研究所
Associate Professor, IIE, CAS
2013.06
付华柱
图像协同关联性约束的研究与应用，Research and Application of Image Correspondence Constraint
高级研究员，新加坡科技研究局
Senior Scientist, Agency for Science,Technology and Research
郭晓杰
图像准稠密匹配及协分割，Image Quasi Dense Matching and Co-segmentation
副教授，天津大学
Associate Professor, Tianjin University