Shanghai Key Lab of Intelligent Information Processing
School of Computer Science
Fudan University
Funding
Publications
Books/Proceedings
Software/Databases
Supervising
Teaching
Patents
Prizes
Services
Others

Prof ZhouShanghai Key Lab of Intelligent Information Processing
School of Computer Science
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
My Google Scholar Profile
My DBLP Records
My Lab Website

Shuigeng Zhou is a full professor (since 2003) at the School of Computer Science, 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, Fudan University.

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

    • Deep learning and application including text recognition, video processing, 3D modeling, and biomedical image processing etc.

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

    • Causality inference algorithms

    • Safe AI including privacy-preserving face recognition, federated learning


  • Bioinformatics

    • AI-based drug design and discovery

    • Biological and medical large models

    • Single-cell sequencing data analysis

    • Omics (especially proteomics) data analysis


  • Data management and big data analytics

    • Subgraph query processing

    • Privacy preservation


  • Financial informatics

    • Portfolio strategies and algorithms

    • Optimal trade execution

    • Fraud detection

Selected Publications↓

  • Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method. Zhang, Yang Wang, Jiaogen Zhou, Chenbo Zhang, Yinglu Zhang, Jihong Guan, Yatao Bian, Shuigeng Zhou*. in: Proceedings of ACM MM 2022,, pages 2002-2011, 2022.

  • C3-STISR: Scene Text Image Super-resolution with Triple Clues.Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, and Shuigeng Zhou*. In: Proceedings of IJCAI 2022, pages 1707-1713, 2022.

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

  • FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction.  Ziqiao Zhang, Jihong Guan, and Shuigeng Zhou*.Bioinformatics, 37(18): 2981-2987, 2021.

  • Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance. Kai Tian, Yi Xu, Jihong Guan, and Shuigeng Zhou*. In: Proceedings of AAAI 2020, pages 6013-6020, Jan. 2020.

  • CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation.Kai Huang, Huey Eng CHUA, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou. In: Proceedings of SIGMOD 2019, pages 900-917, 2019.

  • Single-cell Trajectories Reconstruction, Exploration and Mapping of omics data with STREAM. Huidong Chen, Luca Albergante, Jonathan Y Hsu, Caleb A Lareau, Giosue` Lo Bosco, Jihong Guan, Shuigeng Zhou, Alexander N Gorban, Daniel E Bauer, Martin J Aryee, David M Langenau, Andrei Zinovyev, Jason D Buenrostro, Guo-Cheng Yuan, Luca Pinello.Nature Communications, (2019) 10:1903, https://doi.org/10.1038/s41467-019-09670-4.

  • BOOMER: Blending Visual Formulation and Processing of p-Homomorphic Queries on Large Networks. Yinglong Song, Huey Eng Chua, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou. In: Proceedings of SIGMOD 2018, pages 927-942, June 10–15, 2018, Houston, TX, USA.

  • Edit Probability for Scene Text Recognition. Fan Bai, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Shuigeng Zhou. In: Proceedings of CVPR 2018, pp. 1508-1516, Salt Lake City, USA, June 18-22 2018.

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

  • Diversified Temporal Subgraph Pattern Mining. Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou and John Lui. In: Proceedings of SIGKDD 2016, pages 1965-1974, 2016.

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

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

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

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

Professional Positions↓

  • Professor, School of Computer Science, Fudan University

  • Fellow of China Computer Federation (CCF)

  • Senior member of IEEE


Email: sgzhou AT fudan DOT edu DOT cn
访问量:  1000