![]() |
Yichen Wu / 吴一尘 (Pronounced: Ee-chen Woo) |
I am currently a Postdoctoral Research Fellow at Harvard University, working on continual learning/knowledge editing, vision-language models, LLM quantization, and multimodal reasoning. I received my Ph.D. in Computer Science from the City University of Hong Kong under the supervision of Prof. Ying Wei and Prof. Kede Ma. Before that, 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.
I am a visiting scholar in the Visual Computing Group, Harvard, supervised by Prof. Hanspeter Pfister (IEEE Fellow, ACM Fellow) and working closely with Dr. Wanhua Li.
If you are interested in my research or would like to work with me, feel free to contact me.
![]() |
Harvard VCG Lab, MA, U.S. Visiting Scholar, Sep. 2024 ~ Now Supervised by Prof. Hanspeter Pfister (IEEE Fellow, ACM Fellow) and working closely with Dr. Wanhua Li. |
![]() |
Youtu Lab (Original Jarvis Research Center)@Tencent, Shenzhen, China Research Intern, Sep. 2023 ~ April. 2024 Supervised by Prof. Yefeng Zheng (IEEE Fellow, AIMBE Fellow) and Dr. Hong Wang |
![]() |
AI Lab (Machine Learning Center)@Tencent, Shenzhen, China Research Intern (Tencent Rhino Bird Elite Talent Program), Feb. 2021 ~ Aug. 2023 Supervised by Dr. Long-Kai Huang and Dr. Peilin Zhao |
![]() |
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning. |
![]() |
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs. |
![]() |
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization |
![]() |
Federated Continual Learning via Prompt-based Dual Knowledge Transfer |
![]() |
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction (Outstanding Paper Award Honorable Mention, 0.23% acceptance rate) |
![]() |
Adversarial Task Up-sampling for Meta-learning |
![]() |
Learning to Purify Noisy Labels via Meta Soft Label Corrector |
![]() |
CBA: Improving Online Continual Learning via Continual Bias Adaptor |
![]() |
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier |
![]() |
Survey on Rain Removal From Videos or A Single Image |
![]() |
Neighbor Matching for Semi-supervised Learning |