Qi Wei (魏琦)

 Accepted

(* indicates equal contribution)

• 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.
  
• Hong You, Xian Zhong, Wenxuan Liu, Qi Wei, Wenxin Huang, Zhaofei Yu, Tiejun Huang. [Paper]
  Converting Artificial Neural Networks to Ultra-Low-Latency Spiking Neural Networks for Action Recognition.
  IEEE Transactions on Cognitive and Developmental Systems (TCDS) 2024.
  
• Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin. [Paper] [Poster]
  Learning Sample-Aware Threshold for Semi-Supervised Learning.
  Machine Learning (MLJ) 2023.
  
• Qi Wei, Lei Feng, Haoliang Sun, Chenhui Guo, Ren Wang, Yilong Yin. [ArXiv] [Appx] [Poster] [Code]
  Fine-Grained Classification with Noisy Labels.
  In proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
  
• Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin. [Paper] [Appx] [Poster] [Code]
  Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization.
  In proc. of European Conference on Computer Vision (ECCV) 2022.
  
• Haoliang Sun*, Chenhui Guo*, Qi Wei, Zhongyi Han, Yilong Yin. [Paper] [Code]
  Learning to Rectify for Robust Learning with Noisy Labels.
  Pattern Recognition (PR) 2022.
  
• Qi Wei, Haoliang Sun, Yuling Ma, Yilong Yin. [Paper] [Code]
  A Joint Training Framework for Learning with Noisy Labels.
  SCIENTIA SINICA Informationis (in Chinese) 2023.
  

 Preprint

• Qi Wei, Lei Feng, Haobo Wang, Bo An. [Paper] [Code]
  Debiased Sample Selection for Combating Noisy Labels.
  
• Haoliang Sun*, Qi Wei*, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin. [Paper] [Code]
  Variational Rectification Inference for Learning with Noisy Labels.
  
• Rundong He, Zhongyi Han, Xiushan Nie, Yang Yang, Qi Wei, Yilong Yin.
  ASPL: Augmented Safe Parameter Learning for Deep Safe Semi-Supervised Learning under Class Distribution Mismatch.
  
• Ren Wang, Haoliang Sun, Yuxiu Lin, Qi Wei, Yilong Yin. [ArXiv]
  Improving Generalization in Meta-Learning via Meta-Gradient Augmentation.