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.
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:
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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]
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Adversarial Task Up-sampling for Meta-learning
Yichen Wu, Long-Kai Huang*, Ying Wei*
Neural Information Processing Systems, (NeurIPS), 2022. (Spotlight)
[Paper]
[Code]
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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]
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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]
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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]
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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]
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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]
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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]
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Selected Honors
- DAAD AInet Fellowship, 2024.
- Institutional Research Tuition Scholarship of CityU, 2023.
- NeurIPS Scholar Award, 2022.
- Tencent Rhino-Bird Elite, 2021.
- Outstanding Master's Degree Graduates of XJTU, 2021.
- National third prize in Graduate Student Mathematical Modeling Competition, 2019.
- Scholarship of BJTU/XJTU, 2015, 2016, 2017, 2018, 2019, 2020.
Services
Journal & Conference Reviewer:
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Neural Information Processing Systems (NeurIPS)
- International Conference on Learning Representation (ICLR)
- International Conference on Machine Learning (ICML)