Haowei Lin(林昊苇)


I am going to be a first-year Ph.D. student at the Institute for Artificial Intelligence, School of Intelligence Science and Technology, Peking University, co-advised by Prof. Jianzhu Ma and Prof. Yitao Liang.

I received my Bachelor’s degree in Artificial Intelligence from Peking University, where I was fortunate to work with Prof. Bing Liu on OOD detection, continual learning, and NLP. I was also a member of Tong Class, an elite undergraduate program in Artificial Intelligence led by Prof. Song-Chun Zhu.

My research area is machine learning. Recently, my research focuses on the intersection of ML and computational biology.

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.


Oct 10, 2023 One short paper on OOD Detection is accepted to EMNLP’23.
Aug 8, 2023 Talk on “Continual Learning of Language Models” at group seminar, Peking University. [slides]
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)


(*: Equal Contribution)

Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu
In arxiv.
Continual Pre-training of Language Models
Zixuan Ke*, Yijia Shao*, Haowei Lin*, Tatsuya Konishi, Gyuhak Kim, Bing Liu
In ICLR 2023.
MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft
Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang
In ALOE 2023.
JARVIS-1: Open-world Multi-task Agents with Memory-Augmented Multimodal Language Models
Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang
In arxiv.
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Haowei Lin, Yuntian Gu
In EMNLP 2023.
Adapting a Language Model While Preserving its General Knowledge
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
In EMNLP 2022.
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
In EMNLP 2022.
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.