I am a 1st-year PhD student in Computer Science at UCLA advised by Prof. Kai-Wei Chang. I am a member of UCLANLP lab, and working closely with Prof. Nanyun Peng at UCLA. During my first year, I enjoyed great collaboration with Prof. Dragomir Radev at Yale University.

I study Artificial Intelligence (AI), including Natural Language Processing (NLP) and intersection of NLP and Computer Vision (CV). Specifically, my research interest is knowledge acquisition and building knowledge-enriched models, which aims at mining heterogeneous knowledge from various domains and modalities, and organically integrating extracted knowledge with neural network models via controllable and interpretable methods.

Before coming to UCLA, I completed my bachelor's at Peking University, where I worked with Prof. Xiaojun Wan and Prof. Baobao Chang.


Publications

Xiao Liu*, Da Yin*, Yansong Feng, Yuting Wu, Dongyan Zhao
(Equal Contribution)
NAACL 2021 (Oral)
[ paper | code GitHub Repo stars]
Ming Zhong*, Da Yin*, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev
(Equal Contribution)
NAACL 2021
[ paper | code GitHub Repo stars]
Da Yin, Tao Meng, Kai-Wei Chang
ACL 2020
[ paper | code GitHub Repo stars]
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
ACL 2020
[ paper | code GitHub Repo stars]
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
Arxiv Preprint
[ paper | code GitHub Repo stars]
Da Yin*, Xiao Liu*, Xiaojun Wan
(Equal Contribution)
CIKM 2019
[ paper ]
Da Yin, Xiao Liu, Xiuyu Wu, Baobao Chang
WASSA workshop at NAACL 2019 (Computational Approaches to Subjectivity, Sentiment and Social Media Analysis)
[ paper ]