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.

News

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)

Publications

(*: 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.

pdf code

Continual Pre-training of Language Models

Zixuan Ke*, Yijia Shao*, Haowei Lin*, Tatsuya Konishi, Gyuhak Kim, Bing Liu

In ICLR 2023.

pdf code poster

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft

Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang

In ALOE 2023.

pdf code

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.

pdf code

FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score

Haowei Lin, Yuntian Gu

In EMNLP 2023.

pdf code

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