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.
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
AWP: Activation-based Window Pruning for Gigapixel Object Detection
NeurIPS 2026
SpanFormer: Multi-Level Adaptive Sparsity for Object Detection in High-Resolution Wide Shots
NeurIPS 2026
BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots
NeurIPS 2026
ElasticFormer: Detecting Objects in HRW Shots via Elastic Computing Vision Transformer
CVPR 2026
GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection
AAAI 2026
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer
ACM Multimedia 2024
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images
ECML/PKDD 2024
GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images
AAAI 2024
East China Normal University · School of Statistics
My teaching connects AI foundations with current research and practical work, encouraging students to develop technical knowledge, creative thinking, and hands-on skills.