Yichen Wu (吴一尘)

City University of Hong Kong

Tat Chee Avenue, Kowloon Tong, Kowloon, HongKong SAR

Email: wuyichen.am97@gmail.com
[Google Scholar] [Github] [Linkedin]

Biography

I am currently a third-year Ph.D. student in the Department of Computer Science at City University of Hong Kong under the supervision of Prof. Ying Wei and Prof. Kede Ma. Before joining CityU, I received my M.Sc degree under the supervision of Prof. Deyu Meng from the School of Mathematics and Statistics, Xi'an Jiaotong University. Additionally, I hold dual B.S. degrees from Beijing Jiaotong University, where I majored in Mathematics and minored in Economics and Management.

Research Interest

My research interests include continual learning, transfer learning, and meta-learning. Currently, I am focusing on designing algorithms to enhance the efficiency of LLMs in handling continual learning and exploring methods to utilize transformers within LLMs efficiently. Additionally, I am dedicated to investigating the following research topics:

Research Experiences

AI Lab (Machine Learning Center)@Tencent, Shenzhen, China

Research Intern (Tencent Rhino Bird Elite Talent Program), Feb. 2021 ~ Aug. 2023

News

  • [04/2024] Happy to be selected as a DAAD AInet Fellow (2024)!
  • [01/2024] Our VR-MCL for Meta-Continual Learning is accepted in ICLR 2024 (oral, 1.2% of submissions)!
  • [01/2024] I have been invited to serve as a reviewer for CVPR2024.
  • [09/2023] I have been invited to serve as a reviewer for ICLR2024.
  • [06/2023] I have been invited to be a reviewer for TNNLS.
  • [07/2023] Our CBA for alleviating the recency bias in continual learning is accepted in ICCV 2023.
  • [01/2023] Our L2AC for imbalanced semi-supervised learning is accepted in ICLR 2023.
  • [10/2022] I am honored with the NeurIPS 2022 travel award!
  • [09/2022] Our ATU for task augmentation in meta-learning is accepted in NeurIPS 2022 (spotlight).
  • [09/2021] Begin my journey at the City University of Hong Kong under the supervision of Prof. Ying Wei.
  • [06/2021] I graduate from XJTU, with heartfelt thanks to my supervisor, Deyu Meng.
  • [05/2021] One paper is accepted in MICCAI 2021.
  • [02/2021] I am honored to have been selected to join the prestigious Tencent Rhino-Bird Elite program.
  • [03/2021] Our survey paper on single-image and video deraining is accepted in Science China Information Sciences.
  • [12/2020] Our MSLC for learning with noisy labels is accepted in AAAI 2021.
  • [12/2020] One paper is accepted in Knowledge-Based System.
  • [09/2018] Begin my journey in IID Lab, Xi'an Jiaotong University under the supervision of Prof. Deyu Meng.

Selected Publications [Full List] (^Co-first author; *Corresponding author)

 

Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction

Yichen Wu, Long-kai Huang*, Renzhen Wang, Deyu Meng, Ying Wei*.
International Conference on Learning Representation (ICLR), 2024. (Oral)
[Paper] [Code]

 

Adversarial Task Up-sampling for Meta-learning

Yichen Wu, Long-Kai Huang*, Ying Wei*
Neural Information Processing Systems, (NeurIPS), 2022. (Spotlight)
[Paper] [Code]

 

Learning to Purify Noisy Labels via Meta Soft Label Corrector

Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng*
Association for the Advancement of Artificial Intelligence (AAAI), 2021.
[Paper] [Code]

 

CBA: Improving Online Continual Learning via Continual Bias Adaptor

Quanziang Wang, Renzhen Wang*, Yichen Wu, Xixi Jia, Qian Zhao, Deyu Meng*
International Conference on Computer Vision(ICCV), 2023.
[Paper] [Code]

 

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier

Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng*
International Conference on Learning Representation(ICLR), 2023.
[Paper] [Code]

 

Survey on Rain Removal From Videos or A Single Image

Hong Wang, Yichen Wu, Minghan Li, Qian Zhao, Deyu Meng*
SCIENCE CHINA Information Sciences(SCIS), 2022.
[Paper] [Code]

 

Neighbor Matching for Semi-supervised Learning

Renzhen Wang, Yichen Wu, Huai Chen, Lisheng Wang, Deyu Meng*
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.
[Paper] [Code]

 

Structural Residual Learning for Single Image Rain Removal

Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Shijun Zhang, Deyu Meng*
Knowledge-Based Systems (KBS), 2021.
[Paper] [Code]

Selected Honors

Services

Journal & Conference Reviewer: