About Me

I am currently a postdoc researcher in Tsinghua University, working with Prof. Jun Zhu at Department of Computer Science and Technology. Before that, I received the PhD degree from Tsinghua University (Aug 2019 - Jul 2023), co-advised by Prof. Yi Zhong at School of Life Sciences and Prof. Jun Zhu at Department of Computer Science and Technology. I received the BS degree also from Tsinghua University (Aug 2013 - Jul 2017), with major in biological science and minor in computer science. I was a visiting scholar in Massachusetts Institute of Technology (Jun 2016 to Sep 2016), advised by Prof. Yingxi Lin at Department of Brain and Cognitive Sciences. I was a participant in Tsinghua-Huawei Large Granularity Long Term Cooperation Project (Sep 2019 to May 2022), working with Dr. Lanqing Hong and Dr. Zhenguo Li in Huawei Noah’s Ark Lab.

I have an interdisciplinary background in neuroscience and machine learning. My primary research interest lies in the development of bio-inspired machine learning methodologies and generic computational models for neuroscience. The current focus includes continual / incremental / lifelong learning and transfer learning, by exploring “natural algorithms” in biological learning and memory. I’m also exploring AI algorithms that serve other scientific domains. Welcome discussion and collaboration if you are interested in my research.

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I will be on the job market of 2025, looking for opportunities in both academia and industry.

My email address is changed to wly19@tsinghua.org.cn (and also ly_wang94@126.com).

Recent News

  • 2024/04 One paper is accepted by IJCAI 2024.
  • 2024/02 One paper is accepted by CVPR 2024.
  • 2024/02 Our continual learning survey is accepted by IEEE TPAMI.
  • 2023/12 Our paper is featured as the cover article of NMI.
  • 2023/11 One paper is published in Nature Machine Intelligence.
  • 2023/10 One paper is accepted by the IMOL workshop in NeurIPS 2023.
  • 2023/09 Two papers are accepted by NeurIPS 2023 (with one spotlight).
  • 2023/07 I was selected as a Shuimu Tsinghua Scholar.
  • 2023/07 I received the Outstanding Poster Award in CCCN 2023.
  • 2023/07 One paper is accepted by ICCV 2023.
  • 2023/06 I received my PhD degree after four years of hard work.
  • 2023/02 Our continual learning survey is online in arXiv.

Recent Publications

Academic Services

  • Organizer: Continual Learning Forum in ISNN (2024)
  • Conference Reviewer: NeurIPS (2021, 2022, 2023, 2024), ICML (2024), ICLR (2022, 2023, 2024), CVPR (2022, 2023, 2024), ICCV (2023), ECCV (2022, 2024), IJCAI (2024), ACM MM (2022, 2023), CogSci (2024), CoLLAs (2023, 2024)
  • Journal Reviewer: TPAMI, TIP, TNNLS, TCSVT, Artificial Intelligence, Neural Networks, ACM Computing Surveys

Honors and Awards

  • Shuimu Tsinghua Scholar for Postdoc Researcher, 2023.
  • National Scholarship for Graduate Student, 2022.
  • Beijing Outstanding Graduate Award, 2017.
  • Tsinghua Outstanding Graduate Award, 2017.
  • National Scholarship for Undergraduate Student, 2014, 2015, 2016.