Jincenzi Wu

System Engineering & Engineering Management Ph.D. Student, The Chinese University of Hong Kong

Welcome! I'm Jincenzi Wu, a Ph.D. student in the Department of System Engineering & Engineering Management, 🇭🇰 The Chinese University of Hong Kong, supervised by Prof. HELEN, Meiling Meng .
Before that, I worked as a research intern at CoAI affiliated with Tsinghua University, under the supervision of Prof. Minlie Huang.

My Master's degree in Computer Engineering was earned at 🇺🇸 New York University. Additionally,I earned a Bachelor of Science in Software Engineering from 🇨🇳 Southwest University and a Bachelor of Science with Honours in Information Technology from 🇦🇺 Deakin University, where I had the wonderful opportunity to work with Prof. Lei Pan.

My research focuses on Natural Language Processing, endowing NLP systems with social intelligence, and applying NLP in healthcare.

When I have the time, I enjoy deep diving🤿 & tennis 🎾.

Feel free to say hi: jincenziwu at gmail dot com

News

[10/2024] Released COKE on Hugging Face. COLM is coming soon.
[08/2024] 🎉Great News! Our paper COKE won the 🏆 Area Chair Paper Award (0.48%) at ACL 2024! Congratulations to all collaborators!🥂
[05/2024] Our papers COKE & ToMBench are accepted at ACL 2024. See you in Thailand 🇹🇭!

Research Experience

Tsinghua University (The CoAI Group), China 🇨🇳
Fields: Theory of Mind, Emotional Support Conversation
Research Intern, 2021.11 - 2023.07
Work with Dr. Zhuang Chen and Prof. Minlie Huang


University of Southern California, USA 🇺🇸
Project: Machine Learning
Research Assistant, 2021.05 - 2021.07
Work with Prof. Victor Adamchik


The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia 🇦🇺
Project: Privacy-preserving Publishing of Linked Data
Research Intern, 2018.11 - 2019.02

Selected Publication


dap

COKE: A Cognitive Knowledge Graph for Machine Theory of Mind


Jincenzi Wu*, Zhuang Chen*, Jiawen Deng, Sahand Sabour,Helen Meng, Minlie Huang (* Equal Contribution)
ACL 2024 (Oral Paper 8%)(Area Chair Award 0.48%)
[Paper] [Project] [Data&Code]


dap
ToMBench: Benchmarking Theory of Mind in Large Language Models
Zhuang Chen*, Jincenzi Wu*, Jinfeng Zhou*, Bosi Wen*, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang (* Equal Contribution)
ACL 2024 [Paper] [Project] [Data&Code]