Weiran Huang

Weiran Huang's Profile 

Weiran Huang (黄维然)
Research Scientist
Huawei Noah's Ark Lab
Email: weiran (dot) huang [at] outlook (dot) com
Office: Tsinghua Science Park, Beijing, China
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About Me

I am currently a research scientist at Huawei Noah's Ark Lab, working on data-efficient machine learning algorithms and industry applications. I received my PhD degree in computer science from Institute for Interdisciplinary Information Sciences at Tsinghua University, under the supervision of Turing Award winner Prof. Andrew Yao and IEEE Fellow Dr. Wei Chen. Before that, I got my BE degree in Electronic Engineering at Tsinghua University. I have also spent time at Harvard SEAS hosted by Prof. Yaron Singer, and Microsoft Research Asia.

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.

Interns and Visitors

I am constantly looking for self-motivated research interns in Beijing. I am also happy to host remote undergradaute / graduate visitors.
More details can be found here.
If you want to work with me, please feel free to send me an email with your CV.

Awards

Services

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