Weiran Huang
 |
Weiran Huang (黄维然) |
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 applications. I was formerly a Research Scientist at Huawei Noah's Ark Lab. I obtained my Ph.D. in Computer Science from Institute for Interdisciplinary Information Sciences of Tsinghua University, under the supervision of Turing Award Laureate Prof. Andrew Yao and IEEE Fellow Dr. Wei Chen. Before that, I received my B.Eng. in Electronic Engineering from Tsinghua University.
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 recruiting self-motivated students to my group, who major 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. (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. For more efficient discussions, in-person visits are preferred.
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 & Experience
2012–2018: Ph.D. in Computer Science, Tsinghua University (Advisor: Andrew Yao)
2008–2012: B.Eng. in Electronic Engineering, 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 Student 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: ICLR (2023/2022), ICML (2023/2022), NeurIPS (2022/2021/2020/2019/2016).