(† indicates equal contribution)

 Preprint

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

 Accepted

• Haoliang Sun†, Qi Wei†, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin.
  Variational Rectification Inference for Learning with Noisy Labels.
  International Journal of Computer Vision (IJCV), 2024 [Paper] [Code]
  
• Jiahan Zhang†, Qi Wei†, Feng Liu, Lei Feng.
  Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data.
  International Conference on Machine Learning (ICML), 2024 [Paper] [Code] (Oral, Acceptance rate: 144/9473)
  
• Hong You, Xian Zhong, Wenxuan Liu, Qi Wei, Wenxin Huang, Zhaofei Yu, Tiejun Huang.
  Converting Artificial Neural Networks to Ultra-Low-Latency Spiking Neural Networks for Action Recognition.
  IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2024 [Paper]
  
• Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin.
  Learning Sample-Aware Threshold for Semi-Supervised Learning.
  Machine Learning (MLJ), 2023 [Paper] [Poster]
  
• Qi Wei, Lei Feng, Haoliang Sun, Chenhui Guo, Ren Wang, Yilong Yin.
  Fine-Grained Classification with Noisy Labels.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [arXiv] [Appx] [Poster] [Code]
  
• Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin.
  Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization.
  European Conference on Computer Vision (ECCV), 2022 [Paper] [Appx] [Poster] [Code]
  
• Haoliang Sun†, Chenhui Guo†, Qi Wei, Zhongyi Han, Yilong Yin.
  Learning to Rectify for Robust Learning with Noisy Labels.
  Pattern Recognition (PR), 2022 [Paper] [Code]
  
• 魏琦, 孙皓亮, 马玉玲, 尹义龙. 面向标签噪声的联合训练框架.
  中国科学-信息科学 2023 [Paper] [Code]