Publications

Thanks to all my collaborators for your invaluable support and expertise in these researches.

A full listing of papers can be found in Google scholar .

(† indicates equal contribution)

Preprint

• Debiased Sample Selection for Combating Noisy Labels.
  Qi Wei, Lei Feng, Haobo Wang, Bo An. [ Code ]
• BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection.
  Yuwei Niu, Shuo He, Qi Wei, Feng Liu, Lei Feng.

Conference

• Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack.
  Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An. [ Appdx / Poster / Code ] AAAI 2025, Oral
• Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data.
  Jiahan Zhang†, Qi Wei†, Feng Liu, Lei Feng. [ Code ] ICML 2024, Oral
• Fine-Grained Classification with Noisy Labels.
  Qi Wei, Lei Feng, Haoliang Sun, Chenhui Guo, Ren Wang, Yilong Yin. [ Appdx / Poster / Code ] CVPR 2023
• Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization.
  Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin. [ Poster / Code ] ECCV 2022

Journal

• Variational Rectification Inference for Learning with Noisy Labels.
  Haoliang Sun†, Qi Wei†, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin. [ Code ] IJCV 2025
• Learning Sample-Aware Threshold for Semi-Supervised Learning.
  Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin. [ Code ] MLJ 2024
• A Joint Training Framework for Learning with Noisy Labels. (in chinese)
  Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin. [ Code ] 中国科学-信息科学 2023
• Learning to Rectify for Robust Learning with Noisy Labels.
  Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin. [ Code ] PR 2022