Personal profile
Author IDs
ORCID iD: 0000-0003-1662-4443
Scopus Author ID: 57222080541
Google Scholar Profile: 5UpFdKsAAAAJ
Impact
Biography
Ying Wei is an Assistant Professor in the Department of Computer Science, City University of Hong Kong since Feb 2021. Prior to that, she was a Senior Researcher at the Machine Learning Center of Tencent AI Lab from November 2017 to January 2021. She works on machine learning, and is especially interested in solving challenges in transfer and meta learning by pushing the boundaries of both theories and applications. She received her Ph.D. degree from Hong Kong University of Science and Technology in 2017 with the support of Hong Kong PhD Fellowship. Before this, she completed her Bachelor degree from Huazhong University of Science and Technology in 2012, with first class honor. She has been invited as a senior PC member for AAAI, and a PC member for many other top-tier conferences, such as ICML, NeurIPS, ICLR, and etc.
Related Links
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities
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- 1 Similar Profiles
Collaborations from the last five years
Research output
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CLDYB: TOWARDS DYNAMIC BENCHMARKING FOR CONTINUAL LEARNING WITH PRE-TRAINED MODELS
Chen, S., Liao, Y., Sun, X., Ma, K. & Wei, Y., 2025, 13th International Conference on Learning Representations (ICLR 2025). International Conference on Learning Representations, ICLR, p. 74731-74763 (International Conference on Learning Representations, ICLR).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
Zhuang, Z., Wang, X., Li, W., Zhang, Y., Huang, Q., Chen, S., Wang, X., Wei, Y., Nie, Y., Ma, K., Zhang, Y. & Wei, Y., 2025, Proceedings of the 42nd International Conference on Machine Learning. Singh, A., Fazel, M., Hsu, D., Lacoste-Julien, S., Berkenkamp, F., Maharaj, T., Wagstaff, K. & Zhu, J. (eds.). PMLR, p. 80533-80550 (Proceedings of Machine Learning Research; vol. 267).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
Wu, Y. (Co-first Author), Piao, H. (Co-first Author), Huang, L.-K., Wang, R., Li, W., Pfister, H., Meng, D., Ma, K. & Wei, Y., Jun 2025, 13th International Conference on Learning Representations (ICLR 2025). Yue, Y., Garg, A., Peng, N., Sha, F. & Yu, R. (eds.). International Conference on Learning Representations, ICLR, 17 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access6 Link opens in a new tab Citations (Scopus) -
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Jiang, G., Jiang, C., Li, Z., Xue, S., Zhou, J., Song, L., Lian, D. & Wei, Y., Apr 2025, International Conference on Learning Representations 2025 (ICLR 2025). Yue, Y., Garg, A., Peng, N., Sha, F. & Yu, R. (eds.). International Conference on Learning Representations, ICLR, p. 38268-38293 26 p. ( International Conference on Learning Representations, ICLR).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access2 Link opens in a new tab Citations (Scopus) -
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
Jiang, G. (Co-first Author), Liu, Y. (Co-first Author), Li, Z., W., V., Zhang, F., Song, L., Wei, Y. & Lian, D., Nov 2025, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). United States: Association for Computational Linguistics, p. 6490 6514 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Projects
- 1 Active
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NSFC-YPC-HK: Reliable Few-shot Learning towards Out-of-Distribution Tasks
WEI, Y. (Principal Investigator / Project Coordinator)
1/01/23 → …
Project: Research
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ICML 2022 Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward
WEI, Y. (Co-chair), Yao, H. (Co-chair), Larochelle, H. (Co-chair), Liang, P. (Co-chair), Colin, R. (Co-chair), Tang, J. (Co-chair), Xie, S. (Co-chair), Xing, E. P. (Co-chair) & Finn, C. (Co-chair)
23 Jul 2022Activity: Organizing or Participating in a conference / an event › Exhibition
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IEEE Transactions on Pattern Analysis and Machine Intelligence (Journal)
WEI, Y. (Reviewer)
Jun 2022Activity: Publication peer-review and editorial work (RGC: 61) › Publication peer-review
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Robust Meta-learning In the Wild
WEI, Y. (Invited Speaker)
13 Dec 2021Activity: Talk/lecture or presentation › Talk/lecture
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How to Secure the Generalization of a Pre-trained Model
WEI, Y. (Invited Speaker)
21 Aug 2021Activity: Talk/lecture or presentation › Talk/lecture