Weiran Huang
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Weiran Huang (黄维然) |
招生信息: 我正在招收 1-2 名 2024 级入学的硕士研究生！如果您已经获得推免资格并且希望在我的指导下攻读硕士学位，请于 6 月 15 日前报名计算机系的“优秀生源选拔活动”。(通过推免方式入学可获得一定的奖学金支持！)
About Me
I am an associate professor at Qing Yuan Research Institute of Shanghai Jiao Tong University, working on data-efficient machine learning algorithms and their applications. I earned my PhD in computer science from Institute for Interdisciplinary Information Sciences of Tsinghua University, where I had the honor of being supervised by Turing Award Laureate Prof. Andrew Yao and IEEE Fellow Dr. Wei Chen. Prior to that, I received my bachelor's degree in electronic engineering from Tsinghua University. Additionally, I was a visiting scholar hosted by Prof. Yaron Singer at Harvard SEAS.
My research interests are broadly in
Machine Learning Theory: Understanding the fundamental principles of machine learning, e.g., network capacity, optimization method and generalization ability, and providing insights for algorithms.
Self-Supervised Learning: Self-supervised learning aims to pre-train a powerful feature extractor through a self-supervised task using a large amount of unlabeled data, such that the learned image representations can be efficiently adapted to downstream tasks.
Few-Shot Learning: Few-shot learning is the problem of making predictions on new tasks containing only a few samples with supervised information.
I am constantly looking for self-motivated students who are interested in joining my research group. I welcome students who are majoring in CS, EE, Statistics, Applied Math, Physics, etc.
For SJTU students: (1) If you are already a graduate student at SJTU, feel free to reach out to me. (2) I am also accepting undergraduate students who have taken machine learning courses for thesis advising or independent research.
For non-SJTU students: I am happy to host you as visitors and research assistants. In-person visits are preferred for more efficient discussions.
More details could be found here. If you want to work with me, please feel free to send me an email with your CV.
Education & Work Experience
2012–2018: PhD in Computer Science, Tsinghua University (Advisor: Andrew Yao)
2009–2012: BSc in Electronic Engineering, Tsinghua University
2008–2009: Fundamental Science Class (数理基科班), Tsinghua University
2018/07–2022/12: Research Scientist at Huawei Noah's Ark Lab (Director: Jun Yao)
2018/03–2018/06: Research Intern at Microsoft Research Asia (Mentor: Wei Chen)
2017/11–2018/02: Visiting Scholar at Harvard University (Advisor: Yaron Singer)
2015/08–2017/10: Research Intern at Microsoft Research Asia (Mentor: Wei Chen)
Awards
Excellence in the Microsoft Research Asia Internship Program, 2018.
Outstanding Graduate Student, 2018.
Gold medal in the 24th Chinese Physics Olympiad (CPhO), Member of National Training Team (国家集训队, 31 people in China), 2007.
Services
Reviewer: ICML (2023-2022), NeurIPS (2023-2019), ICLR (2023-2022).