My research interests span efficient deep learning, machine learning, and computer vision. Specifically, I am interested in model compression for computer vision models (CNN, ViT), knowledge distillation to both models and datasets, and general CV tasks (foundational model training and downstream applications).

News!

[2024.2] One paper is accepted by CVPR! Paper Codes

[2023.10] Win National Scholarship for PhD Student

Publications

[CVPR 2024] Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning.
Xin Zhang, Jiawei Du, Yunsong Li, Weiying Xie, Joey Tianyi Zhou.

[IEEE TNNLS 2023] Block-Wise Partner Learning for Model Compression.
Xin Zhang, Weiying Xie, Yunsong Li, Jie Lei, Kai Jiang, Leyuan Fang, Qian Du.

[IEEE TIP 2023] Reaf: Remembering enhancement and entropy-based asymptotic forgetting for filter pruning.
Xin Zhang, Weiying Xie, Yunsong Li, Kai Jiang, Leyuan Fang.

[IEEE TGRS 2023] A Model-Driven Deep Mixture Network for Robust Hyperspectral Anomaly Detection.
Yunsong Li, Kai Jiang, Weiying Xie, Jie Lei, Xin Zhang, Qian Du.

[IEEE TGRS 2022] Rank-aware generative adversarial network for hyperspectral band selection.
Xin Zhang, Weiying Xie, Yunsong Li, Jie Lei, Qian Du, Geng Yang.

[IEEE TGRS 2023] Co-compression via superior gene for remote sensing scene classification.
Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li, Min Sheng, Leyuan Fang.

[IEEE TGRS 2022] Algorithm/hardware codesign for real-time on-satellite CNN-based ship detection in SAR imagery.
Geng Yang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Jiaxuan Wang, Xin Zhang.

[IEEE TC 2021] Filter pruning via learned representation median in the frequency domain.
Xin Zhang, Weiying Xie, Yunsong Li, Jie Lei, Qian Du.

[IEEE TC 2021] Weakly supervised low-rank representation for hyperspectral anomaly detection.
Weiying Xie, Xin Zhang, Yunsong Li, Jie Lei, Jiaojiao Li, Qian Du.

[IEEE Jstar 2020] Background learning based on target suppression constraint for hyperspectral target detection.
Weiying Xie, Xin Zhang, Yunsong Li, Keyan Wang, Qian Du.