Jincenzi Wu

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

Welcome! I'm Jincenzi Wu, a 1st year 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 affiliate at Tsinghua Univerisity and supervised by Prof. Minlie Huang.

My Master's degree in Computer Engineering was earned at 🇺🇸 New York University. 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. I had the wonderful opportunity to work with Prof. Lei Pan at Deakin University.

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.

Feel free to say hi: jincenziwu at gmail dot com

News

[08/2024] 🎉Great News! Our paper COKE won the 🏆 Area Chair Paper Award (1%) 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 1%)
[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]