Weiran Huang

Weiran Huang's Profile 

Weiran Huang (黄维然)
Associate Professor
Qing Yuan Research Institute
Shanghai Jiao Tong University

[Google Scholar] / [DBLP] / [知乎专栏] / [Talk Bio]

About Me

I am an associate professor in Qing Yuan Research Institute at Shanghai Jiao Tong University, working on data-efficient machine learning algorithms and applications. Previously, I was a research scientist at Huawei Noah's Ark Lab. I received my Ph.D. in computer science from Institute for Interdisciplinary Information Sciences at Tsinghua University, under the supervision of Turing Award Laureate Prof. Andrew Yao and IEEE Fellow Dr. Wei Chen. Before that, I got my B.Eng. in Electronic Engineering at 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.

Students and Visitors

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

Services

  • Reviewer: ICLR (2023/2022), ICML (2023/2022), NeurIPS (2022/2021/2020/2019/2016).