Shanghai Key Lab of Intelligent Information Processing
College of Computer Science and Artificial Intelligence
Fudan University
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Prof ZhouShanghai Key Lab of Intelligent Information Processing
College of Computer Science and Artificial Intelligence
No. 2 Interdisciplinary Building, Fudan University
2005 Songhu Road, Shanghai 200438, China
Phone/fax: +86-21-31242359
Email: sgzhou AT fudan DOT edu DOT cn
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Shuigeng Zhou is a tenured full professor at the College of Computer Science and Artificial Intelligence, Fudan University. He leads the research group of Advanced Data and Machine Intelligence Systems (ADMIS). He was the director (Sept. 2018 – May 2024) and vice-director (2004 to Aug. 2018) of Shanghai Key Lab of Intelligent Information Processing (SKLIIP), Fudan University. He held the post of Vice Chairman (in charge of research affairs) of the Department of Computer Science and Engineering (CSE), Fudan University, from January 2005 to May 2008. In May 2008, the CSE Department was merged into the School of Computer Science, which was renamed as the current name in April 2025.

Shuigeng Zhou received his Bachelor Degree of Engineering from Huazhong University of Science and Technology (HUST) in July 1988, his Master Degree of Engineering from University of Electronic Science and Technology of China (UESTC) in March 1991, and his PhD of Computer Science from Fudan University in July 2000. He served in Shanghai Academy of Spaceflight Technology from April 1991 to August 1997, as an engineer and a senior engineer (since August 1995) respectively. Before joining Fudan University, he was a post-doctoral researcher in Wuhan University from August 2000 to August 2002.

Research Areas↓

  • Artificial Intelligence

    • Causal learning, causality-driven LLM reasoning

    • Deep learning and applications (e.g., recommender systems, automatic model design and optimization, text recognition, object detection, video processing, 3D modeling, and biomedical image processing)

    • Large models and applications (especially large vision and language models, large graph models, content recommendation and moderation)

    • Safe AI including privacy-preserving biometric (face, iris) recognition, federated learning


  • Biomedical informatics

    • AI-based drug design and discovery

    • Disease diagnosis and prognosis prediction based on biomedical images, omics and clinical data

    • Biological and medical large models and agents

    • Single-cell sequencing data analysis

    • Multi-omics integration and analysis


  • Big data management and analytics

    • Subgraph query processing

    • Privacy preservation


  • Financial informatics

    • Portfolio strategies and algorithms

    • Optimal trade execution

    • Fraud detection

Selected Publications↓

  • Yixin Ren, Juncai Zhang, Yewei Xia, Ruxin Wang, Feng Xie, Jihong Guan, Hao Zhang, Shuigeng Zhou*. Regression-based conditional independence test with adaptive kernels. Artificial Intelligence, 347: 104391, 2025.

  • Houyi Li, Wenzhen Zheng, Qiufeng Wang, Zhenyu Ding, Haoying Wang, Zili Wang, Shijie Xuyang, Ning Ding, Shuigeng Zhou*, Xiangyu Zhang, Daxin Jiang. Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs. NeurIPS 2025.

  • Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, and Shuigeng Zhou*. Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity. In: Proceedings of SIGKDD 2025, Volume 1, pages 1197-1208, 2025.

  • Hao Zhang, Yixin Ren, Yewei Xia, Shuigeng Zhou*, and Jihong Guan. Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12): 10259-10271, 2024.

  • Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou*. Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing. In: Proceedings of NeurIPS 2024, 2024.

  • Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou*. Privacy-Preserving Face Recognition Using Random Frequency Components. In: Proceedings of ICCV 2023, pages 19616-19627, 2023.

  • Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou*. DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples. In: Proceedings of NeurIPS 2021, pages 15895-15907, 2021.

  • Zhanzhan Cheng, Yangliu Xu, Fan Bai, Yi Niu, Shiliang Pu, Shuigeng Zhou*. AON: Towards Arbitrarily-Oriented Text Recognition. In: Proceedings of CVPR 2018, pages 5571-5579, Salt Lake City, USA, June 18-22 2018.

  • Zhanzhan Cheng, Fan Bai, Yunlu Xu, Gang Zheng, Shiliang Pu, and Shuigeng Zhou*. Focusing Attention: Towards Accurate Text Recognition in Natural Images. In Proceedings of ICCV 2017, pages 5086-5094, 2017.

  • Longwen Gao and Shuigeng Zhou*. Learning Sparse Representations from Datasets with Uncertain Group Structures: Model, Algorithm and Applications. In: Proceedings of AAAI 2015, pages 2603-2609, 2015.

  • Yufei Tao, Yi Yang, Xiaocheng Hu, Cheng Sheng, and Shuigeng Zhou. Instance Level Worst-case Query Bounds on R-trees. The VLDB Journal, 23(3): 591-607, 2014.

  • Shixi Chen and Shuigeng Zhou. Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins. In: Proceedings of SIGMOD 2013, pages 653-664, June 22-27, 2013, New York, NY, USA.

  • Xiaocheng Hu, Cheng Sheng, Yufei Tao, Yi Yang and Shuigeng Zhou. Output-sensitive skyline (a.k.a.\ Maxima) algorithms in external memory. In: Proceedings of SODA 2013, pages 887-900, New Orleans, USA, January 6-8, 2013.

  • Yuzhe Tang, Shuigeng Zhou, and Jianliang Xu. LIGHT: A Query-Efficient yet Low-Maintenance Indexing Scheme over DHTs. IEEE Transactions on Knowledge and Data Engineering, 22(1): 59-75, 2010.

  • Haoliang Jiang, Haixun Wang, Philip S. Yu, and Shuigeng Zhou. GString: A Novel Approach for Efficient Search in Graph Databases. In: Proceedings of ICDE 2007, pages 566-575, IEEE CS, 2007.

Professional Positions↓

  • Tenured full professor, college of CS and AI, Fudan University

  • Fellow of China Computer Federation (CCF)

  • Senior member of IEEE


Email: sgzhou AT fudan DOT edu DOT cn
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