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Qi Wei (魏琦)
I am currently a first-year Ph.D. candidate at the College of Computing and Data Science (CCDS), Nanyang Technological University, Singapore, supervised by Prof.
Bo An. I also maintain a close collaborative relationship with Prof.
Lei Feng from Singapore University of Technology and Design (SUTD).
My research interests include computer vision and machine learning, such as AI safety and Weakly-supervised Learning (such as Learning with noisy labels and Semi-supervised Learning). Feel free to email me if you are interested in talking with me.
Email: weiq0010@e.ntu.edu.sg
[Google scholar]
[Github]
News
[2024.12] One paper was accepted by AAAI 2025 as an oral presentation.
[2024.07] One paper was accepted by IJCV.
[2024.05] One paper was accepted by ICML 2024 as an oral presentation.
[2024.03] One paper was accepted by TCDS.
[2023.09] One paper was accepted by Machine Learning.
[2023.04] One (Chinese) paper was accepted by SCIENTIA SINICA Informationis.
[2023.02] One paper was accepted by CVPR 2023.
[2022.07] One paper was accepted by ECCV 2022.
[2021.11] One paper was accepted by Pattern Recognition.
Publications
(† indicates equal contribution)
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Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An.
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack.
Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI) 2025.
(Oral presentation, acceptance rate: ~4.63%)
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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, in press.
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Jiahan Zhang†, Qi Wei†, Feng Liu, Lei Feng.
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data.
Proceedings of the 41st International Conference on Machine Learning (ICML) 2024, pp. 60004-60020.
(Oral presentation, acceptance rate: ~1.52%)
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Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin.
Learning Sample-Aware Threshold for Semi-Supervised Learning.
Machine Learning 2024, vol. 113, pp. 5423–5445.
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Qi Wei, Lei Feng, Haoliang Sun, Chenhui Guo, Ren Wang, Yilong Yin.
Fine-Grained Classification with Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, pp. 11651-11660.
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Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin.
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization.
Proceedings of the European Conference on Computer Vision (ECCV) 2022, pp. 516-532.
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Haoliang Sun†, Chenhui Guo†, Qi Wei, Zhongyi Han, Yilong Yin.
Learning to Rectify for Robust Learning with Noisy Labels.
Pattern Recognition 2022, vol. 124, 108467.
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