ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection. - Yongqi An; Xu Zhao 003; Tao Yu 013; Haiyun Gu; Chaoyang Zhao; Ming Tang 001; Jinqiao Wang (CVPR, 2023)

ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection. - Yongqi An; Xu Zhao 003; Tao Yu 013; Haiyun Guo; Chaoyang Zhao; Ming Tang 001; Jinqiao Wang (CoRR, 2023)

Fast Segment Anything. - Xu Zhao 003; Wenchao Ding 004; Yongqi An; Yinglong Du; Tao Yu 013; Min Li; Ming Tang 001; Jinqiao Wang (CoRR, 2023)

Pruning-aware Sparse Regularization for Network Pruning. - Nanfei Jiang; Xu Zhao 003; Chaoyang Zhao; Yongqi An; Ming Tang 001; Jinqiao Wang (Int. J. Autom. Comput., 2023)

Fluctuation-Based Adaptive Structured Pruning for Large Language Models. - Yongqi An; Xu Zhao 003; Tao Yu 013; Ming Tang 001; Jinqiao Wang (AAAI, 2024)

Knowledge Distillation Dealing with Sample-Wise Long-Tail Problem. - Tao Yu 013; Xu Zhao 003; Yongqi An; Ming Tang 001; Jinqiao Wang (ACCV (10), 2024)

Extracting Sparse Specialist Models from Generalist Models. - Tao Yu 013; Xu Zhao 003; Yongqi An; Guibo Zhu; Ming Tang 001; Jinqiao Wang (ICASSP, 2025)

Systematic Outliers in Large Language Models. - Yongqi An; Xu Zhao 003; Tao Yu 013; Ming Tang 001; Jinqiao Wang (ICLR, 2025)

Scaling Linear Attention with Sparse State Expansion. - Yuqi Pan; Yongqi An; Zheng Li; Yuhong Chou; Rui-Jie Zhu 003; Xiaohui Wang; Mingxuan Wang; Jinqiao Wang; Guoqi Li (CoRR, 2025)