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Wenxi Li

  • About

    • Department: School of Statistics
    • Gender: male
    • Post:
    • Graduate School:
    • Degree: Ph.D
    • Academic Credentials:
    • Tel:
    • Email: wxli@sfs.ecnu.edu.cn
    • Office: A618, Science Building
    • Address: Zhongbei Campus
    • PostCode:
    • Fax:

    WorkExperience

    Education

    Oct. 2014 – Jun. 2018 Northeastern University
     B.Eng. in Software Engineering

    Sept. 2018 – Jun. 2021 Fudan University
     M.Sc. in Computer Science
     Advisor: Prof. Rui Feng

    Sept. 2021 – Jun. 2025 Shanghai Jiao Tong University (Joint Program with Tsinghua University)
     Ph.D. in Computer Science
     Advisor: Academician Qionghai Dai


    Resume

        Dr. Wenxi Li has long been engaged in research on the fundamental theories, key technologies, and applications of artificial intelligence, with a focus on large-scale multi-object perception and multimodal intelligence. He has achieved several innovative research outcomes and published over twenty papers in top international AI journals and conferences such as IEEE TIP, ACM MM, and AAAI. His work has received over 2,000 stars on GitHub and has been widely applied in autonomous systems, public safety, the Internet, and healthcare. He is also the champion of the International Gigapixel Object Detection Challenge and the International Gigapixel Trajectory Prediction Challenge.


    Our research group collaborates closely with Academician Dai’s team at Tsinghua University and works with leading industry partners such as Alibaba and Huawei. We warmly welcome motivated undergraduate students with a strong interest in artificial intelligence to join us!

    Other Appointments

    Research Fields

    Enrollment and Training

    Course

    Scientific

    Academic Achievements

    Google Scholar：https://scholar.google.com/citations?user=J9neCzoAAAAJ&hl=en


    Selected Publications:


    1.       Qian Wang, Wenxi Li, Songjian Chen, Rui Feng: A Dynamic-Attention on Crowd Region with Physical Optical Flow Features for Crowd Counting. IJCNN 2020: 1-8

    2.       Wenxi Li , Zhuoqun Cao, Qian Wang, Songjian Chen, Rui Feng: Learning Error-Driven Curriculum for Crowd Counting. ICPR 2020: 843-849

    3.       Chenyang Lyu*, Wenxi Li* , Tianbo Ji , Longyue Wang , Liting Zhou, Cathal Gurrin , Linyi Yang , Yi Yu, Yvette Graham , Jennifer Foster : Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment. ACM Multimedia 2023: 3975-3984（Contributed Equally）

    4.       Chenyang Lyu*, Wenxi Li* , Tianbo Ji , Liting Zhou, Cathal Gurrin : Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering. ICANN (7) 2023: 427-438（Contributed Equally）

    5.       Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang: SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images. ECML/PKDD (2) 2024: 392-408

    6.       Wenxi Li , Yuchen Guo , Jilai Zheng , Haozhe Lin , Chao Ma , Lu Fang , Xiaokang Yang : SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer. ACM Multimedia 2024: 4851-4860

    7.       Chenyang Lyu, Wenxi Li , Tianbo Ji, Yi Yu, Longyue Wang: Semantic Enrichment for Video Question Answering with Gated Graph Neural Networks. ICASSP 2024: 11616-11620

    8.       Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang: SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation. ECAI 2024: 145-152

    9.       Chenglong Liu, Haoran Wei, Jinze Yang, Jintao Liu, Wenxi Li , Yuchen Guo, Lu Fang: GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images. AAAI 2024: 10092-10100

    10.    Jilai Zheng , Wenxi Li , Chao Ma , Xiaokang Yang : Sparsely-Supervised Object Tracking. IEEE Trans. Image Process. 33: 3470-3485 (2024)

    11.    Wenxi Li , Yuchen Guo, Jilai Zheng, Haozhe Lin, Chao Ma, Lu Fang, Xiaokang Yang: Bridging the gap between object detection in close-up and high-resolution wide shots. Comput. Vis. Image Underst. 249: 104181 (2024)

    12.    Chenyang Lyu, Wenxi Li, Tianbo Ji, Liting Zhou, Pintu Lohar, Yi Yu, Longyue Wang: Enhancing Video-Text Matching via Sparse Stratified Sampling. ICASSP 2025: 1-5

    13.    Wenxi Li, Moran Liu, Jiaxin Liu, Baosheng Zhang, Tao Yu, Yuchen Guo, Qionghai Dai: A review of artificial intelligence for sports: Technologies and applications. Intelligent Sports and Health 1 (3), 113-126

    14.    Xiang Li*, Wenxi Li*, Yuntong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding, Yuchen Guo: GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection. AAAI 2026 （Contributed Equally）

    15.    Longlong Yu*, Wenxi Li*, Yaoqi Sun,  Chenggang Yan, Yuchen Guo: 2D-CrossScan Mamba: Enhancing State Space Models with Spatially Consistent Multi-Path 2D Information Propagation. AAAI 2026 （Contributed Equally）



     



    Honor

    Dec. 2024 – National Scholarship for Doctoral Students
    Jun. 2025 – Outstanding Graduate of Shanghai Jiao Tong University