Qi Wei

According to our database, Qi Wei authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Correction: Variational Rectification Inference for Learning with Noisy Labels.

Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin

Int. J. Comput. Vis., March, 2025

Variational Rectification Inference for Learning with Noisy Labels.

Haoliang Sun, Qi Wei, Lei Feng, Yupeng Hu, Fan Liu, Hehe Fan, Yilong Yin

Int. J. Comput. Vis., February, 2025

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack.

Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Converting Artificial Neural Networks to Ultralow-Latency Spiking Neural Networks for Action Recognition.

Hong You, Xian Zhong, Wenxuan Liu, Qi Wei, Wenxin Huang, Zhaofei Yu, Tiejun Huang

IEEE Trans. Cogn. Dev. Syst., August, 2024

Correction: Learning sample-aware threshold for semi-supervised learning.

Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

Mach. Learn., July, 2024

Learning sample-aware threshold for semi-supervised learning.

Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin

Mach. Learn., July, 2024

BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection.

Yuwei Niu, Shuo He, Qi Wei, Feng Liu, Lei Feng

CoRR, 2024

Debiased Sample Selection for Combating Noisy Labels.

Qi Wei, Lei Feng, Haobo Wang, Bo An

CoRR, 2024

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data.

Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Improving Generalization in Meta-Learning via Meta-Gradient Augmentation.

Ren Wang, Haoliang Sun, Qi Wei, Xiushan Nie, Yuling Ma, Yilong Yin

CoRR, 2023

Fine-Grained Classification with Noisy Labels.

Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning to rectify for robust learning with noisy labels.

Haoliang Sun, Chenhui Guo, Qi Wei, Zhongyi Han, Yilong Yin

Pattern Recognit., 2022

Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization.

Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin

Proceedings of the Computer Vision - ECCV 2022, 2022