Haowei Lin(林昊苇)

haowei.jpg

I am a senior undergraduate majoring in Artificial Intelligence at Yuanpei College, Peking University. I am a member of Tong Class, an elite undergraduate program in Artificial Intelligence led by Prof. Song-Chun Zhu.

I am fortunate to work as a research assistant at Wangxuan Institute of Computer Technology under the guidance of Prof. Bing Liu. Previously, I also had two fantastic intern experiences. I have worked as an NLP research intern with Dr.Zilong Zheng and Dr.Wenjuan Han at Beijing Institute for General Artificial Intelligence (BIGAI) and as an engineering intern with Douyin Search group in ByteDance, Beijing.

This fall, I will begin my Ph.D. studies at the Institute for Artificial Intelligence, School of Intelligence Science and Technology, Peking University, advised by Prof. Jianzhu Ma and Prof. Yitao Liang. My research focuses on the intersection of machine learning and computational biology. I’m also interested in open-world machine learning and Natural Language Processing.

Selected Awards

  • National Scholarship (top 1%), 2022.
  • The First Prize of Peking University Scholarship (top 2%), 2020.
  • Merit student pacesetter (top 2%), 2020.
  • Huatai Science and Technology Scholarship, 2021.
  • The First Prize of the 12th and 13th National College Students’ Mathematics Competition, 2020 & 2021.
  • Morality Scholarship sponsored by Zhongying Tang, 2019-2023.

News

Feb 18, 2023 An updated version of my CV can be found here.
Feb 18, 2023 Our paper studying the continual pre-training of LMs is accepted by ICLR 2023! An extensible PyTorch-based codebase for this task is also launched. (with more than 15 SoTA baselines)

Publications

(*: Equal Contribution)

Continual Pre-training of Language Models
Zixuan Ke*, Yijia Shao*, Haowei Lin*, Tatsuya Konishi, Gyuhak Kim, Bing Liu
In ICLR 2023.
pdf code poster
Adapting a Language Model While Preserving its General Knowledge
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
In EMNLP 2022.
pdf code poster
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
In EMNLP 2022.
pdf code poster
CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection
Mengyu Wang*, Yijia Shao*, Haowei Lin, Wenpeng Hu, Bing Liu
In ECML-PKDD 2022.
pdf code