Mixup Without Hesitation. - Hao Yu 027; Huanyu Wang; Jianxin Wu 001 (ICIG (2), 2021)

Training Vision Transformers with only 2040 Images. - Yun-Hao Cao; Hao Yu 027; Jianxin Wu 001 (ECCV (25), 2022)

Compressing Transformers: Features Are Low-Rank, but Weights Are Not! - Hao Yu 027; Jianxin Wu 001 (AAAI, 2023)

A unified pruning framework for vision transformers. - Hao Yu 027; Jianxin Wu 001 (Sci. China Inf. Sci., 2023)

Unified Low-rank Compression Framework for Click-through Rate Prediction. - Hao Yu 027; Minghao Fu 001; Jiandong Ding; Yusheng Zhou; Jianxin Wu 001 (KDD, 2024)

Treasures in Discarded Weights for LLM Quantization. - Hao Yu 027; Yang Zhou; Bohua Chen; Zelan Yang; Shen Li; Yong Li; Jianxin Wu 001 (AAAI, 2025)

Quantization without Tears. - Minghao Fu 001; Hao Yu 027; Jie Shao 001; Junjie Zhou; Ke Zhu; Jianxin Wu 001 (CVPR, 2025)

Reviving undersampling for long-tailed learning. - Hao Yu 027; Yingxiao Du; Jianxin Wu 001 (Pattern Recognit., 2025)

QwT-v2: Practical, Effective and Efficient Post-Training Quantization. - Ningyuan Tang; Minghao Fu 001; Hao Yu 027; Jianxin Wu 001 (CoRR, 2025)