Wenxi Li (李文熙)

Wenxi Li (李文熙)

Pre-Tenure Associate Professor

School of Statistics, East China Normal University

About Me

I am a Pre-Tenure Associate Professor in the School of Statistics, East China Normal University, where I have worked since November 2025. I received my Ph.D. in Computer Science from Shanghai Jiao Tong University in June 2025 through a joint program with Tsinghua University, advised by Yuchen Guo and Qionghai Dai. Previously, I received my M.Sc. in Computer Science from Fudan University and my B.Eng. in Software Engineering from Northeastern University.

My research focuses on computer vision, deep learning, and efficient AI models. I work on object detection in gigapixel and high-resolution wide (HRW) images, vision Transformers, dynamic sparse computation, and model efficiency. My recent work explores adaptive sparsity, activation-based window pruning, elastic computation, and mixture-of-experts architectures to improve visual perception while reducing computational cost.

I teach Computer Vision and Deep Learning at ECNU. In teaching, I connect the foundations of artificial intelligence with current research and practical projects to help students develop independent thinking and hands-on research skills.

I welcome research discussions and collaborations. Please contact me at wxli@sfs.ecnu.edu.cn.

Interests
  • Computer Vision and Deep Learning
  • Gigapixel Object Detection
  • Vision Transformers
  • Adaptive Sparse Computation
  • Efficient and Lightweight AI Models
Education
  • PhD in Computer Science, 2021–2025

    Shanghai Jiao Tong University

  • MSc in Computer Science, 2018-2021

    Fudan University

  • BEng in Software Engineering, 2014-2018

    Northeastern University

News

  • September 2026: Three papers accepted to NeurIPS 2026: AWP, SpanFormer, and BiHashFormer.
  • September 2026: Started teaching Computer Vision and Deep Learning at ECNU.
  • February 2026: ElasticFormer accepted to CVPR 2026.
  • November 2025: Two papers accepted to AAAI 2026: GigaMoE and 2D-CrossScan Mamba.
  • November 2025: Joined the School of Statistics, East China Normal University as a Pre-Tenure Associate Professor.
  • June 2025: Received my Ph.D. and the Outstanding Graduate honor from Shanghai Jiao Tong University.
  • December 2024: Awarded the National Scholarship for Doctoral Students.

Teaching

East China Normal University · School of Statistics

  • Autumn 2026 — Computer Vision: Instructor.
  • Autumn 2026 — Deep Learning: Instructor.
  • Spring 2026 — Statistical Machine Learning: Teaching assistant; supported course teaching, answered student questions, and assisted with related teaching activities.

My teaching connects AI foundations with current research and practical work, encouraging students to develop technical knowledge, creative thinking, and hands-on skills.

Honors & Awards

  • June 2025: Outstanding Graduate, Shanghai Jiao Tong University.
  • December 2024: National Scholarship for Doctoral Students.

Projects

*
SWIFT AI
Welcome to the dawn of a new era in scientific research with SWIFT AI, our ground-breaking system that harnesses the power of deep learning and gigapixel imagery to revolutionize visual understanding across diverse scientific fields. Pioneering in speed and accuracy, SWIFT AI promises to turn minutes into seconds, offering a giant leap in efficiency and accuracy, thereby empowering researchers and propelling the boundaries of knowledge and discovery.
SWIFT AI

Gallery

Global Nexus of Intelligent Research