Yuchen Lin is a Ph.D. candidate in Computer Science at the University of Southern California, working with Prof. Xiang Ren at the Intelligence and Knowledge Discovery Research Lab(USC-INK). He is generally interested in developing intelligent systems that demonstrate a deep understanding of the world with common-sense knowledge and reasoning ability — teaching machines to think 🤔, talk 💬, act 🦾 with common sense as humans. To this end, his research aims to integrate information extraction, knowledge graphs, logical reasoning, graph neural networks, explanations, robustness, etc. Apart from that, he is also interested in cross-task generalization (i.e., meta-learning, continual learning) and federated learning in the NLP domain. He mainly publishes (as Bill Yuchen Lin) and serves as Program Committee members for ACL, EMNLP, NAACL, ICLR, AAAI, etc.

Previously, he got his bachelor's degree from the IEEE Honored Class at Shanghai Jiao Tong University (2014-2018) and won the Best Thesis Award (1% in SJTU) under the supervision of Prof. Kenny Zhu. He worked as a research intern at Google AI (2020 summer with William Cohen, 2019 summer with Sandeep Tata) and Microsoft Research Asia (2017-2018). He will intern at Facebook AI Research (FAIR) with Scott Yih in 2021 summer.