Zexue He

I am a final-year Ph.D. candidate in Computer Science and Engineering department at University of California, San Diego, advised by Prof. Julian McAuley .

My research focuses on advancing Trustworthy NLP to address critical human challenges, e.g., healthcare and college admission. My works utilize human-centered design, diagnose the shortcomings of existing models, and develop AI solutions that are more responsible and better satisifies human needs in real life:

  • Trustworthy NLP: enhance the fairness, harmlessness, robustness, interpretability, and controllability of LLMs;
  • AI for Social Good : build NLP for Healthcare, AI for Low-Resource, and AI for Therapy.
  • Learning from Humans: understand human cognitive behaviors, brain functions, and reading behaviors
I am also a researcher at the MIT-IBM Lab and an affiliate researcher at MIT CSAIL. Previously, I was an intern at the Microsoft Research and Google.

News : I am honored to be awarded the IBM PhD Fellowship 2022 !

Contact: zehe AT ucsd.edu or zexueh AT mit.edu

Full Publications: Google Scholar

Education

Ph.D.          2020 - 2024 (expected)
                       Computer Science and Engineering, University of California San Diego (UCSD), U.S.
                       Ph.D. student in Computer Science
                       Advisor: Prof. Julian McAuley

B.S.              2015 - 2019
                       College of Information Science and Technology, Beijing Normal University (BNU), China
                       B.S. in Computer Science and Technology
Selected Publications

Trustworthy LLM
Jessica Echterhoff, Yao Liu, Abeer Alessa, Julian McAuley, Zexue He
EMNLP 2024 .
Zexue He, Marco Tulio Ribeiro, Fereshte Khani
ACL 2023 .
Bodhi Majumder* Zexue He*, Julian McAuley
EMNLP 2023. *Equal.
Zexue He, Yu Wang, Julian McAuley, Bodhisattwa Majumder
EMNLP2022 Findings
Canwen Xu, Zexue He, Zhankui He, Julian McAuley
AAAI 2022 .
Zexue He, Bodhisattwa Majumder, Julian McAuley
EMNLP 2021 Findings.
Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing.
ICLR 2019, Top 1% Oral.
AI for Social Good
Healthcare
Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y Chang, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
EMNLP 2023.
Zexue He, An Yan, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
AAAI 2023.
An Yan, Zexue He, Xing Lu. Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley and Chun-Nan Hsu
EMNLP 2021 Findings.
Zexue He, Li Zhu, Minjie Li, Jinyao Li, Yiran Chen, Yanlin Luo.
SCIENCE CHINA Information Sciences.
Accessibility for Low-Resource
Zexue He*, Graeme Blackwood*, Rameswar Panda, Julian McAuley, Rogerio Feris
ACL2023 Findings.
*Equal Contribution.
Esthetics
Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian McAuley
AAAI 2024 .
Learning from Humans
Zexue He, Leonid Karlinsky, Donghyun Kim, Julian McAuley, Dmitry Krotov, Rogerio
ICML 2024 LCFM
Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville,
NeurIPS 2024 Behavioral ML
Xiaochuan Wang, Ning Su, Zexue He, Yiqun Liu, Shaoping Ma.
SIGIR 2018
Jiaxin Mao, Yiqun Liu, Noriko Kando, Zeuxe He, Min Zhang, Shaoping Ma.
CHIIR 2018
Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma.
CIKM 2018
Work Experience

MIT-IBM AI Lab, Cambridge, MA
Research Intern • summer 2023
Memory-augmented Large Langauge Models for Efficient Long-Context Modeling
Collaborators: Dr. Dmitry Krotov and Dr. Donghyun Kim at MIT-IBM
Advisors: Prof. Yoon Kim at MIT; Dr. Leonid Karlinsky and Dr. Rogerio Feris at MIT-IBM

Microsoft, Redmond, Washington
Research Intern • summer 2022
Targeted Data Generation
Advisor: Dr. Fereshte Khani Prof. Marco Tulio Ribeiro
Office of Applied Research

NEC Labs, Princeton, NJ
Research Intern • June. 2021 to Sept. 2021
Multimodality Data Representation Learning
Advisor: Dr. Yuncong Chen
Data Science & System Security Group

Microsoft Research Asia, Beijing, China
Research Intern • Oct. 2019 to Dec. 2019
Algorithmic Trading: High-Frequency Time Series Machine Learning and Data Mining
Advisor: Dr. Kan Ren
Machine Learning Group

Google, Beijing, China
Engineering Practicum Intern • Jul. 2017 to Sept. 2017
Knowledge Graph Source Discovery: Wikipedia-like Sites Discovery and Analysis
Advisor: Jiang Bian, team manager
Dataz Group
Experiences

Machine Learning Department, Carnegie Mellon University, Pittsburgh, U.S.
Research Intern • Apr. 2018 to Oct. 2018
Robust Learning for Domain Generalization (DG) without Domain Information
Mentor: Haohan Wang, Ph.D. candidate at LTI, CMU
Advisors: Prof. Zachary C. Lipton.
Information Retrieval Group, Tsinghua University, Beijing, China
Research Assistant • Jun. 2017 to May 2018
Investigating Human Examination Behavior on Mobile Search
Advisor: Prof. Yiqun Liu
Key Laboratory of Computational Linguistic, Peking University, Beijing, China
Research Assistant • Dec. 2017 to May 2018
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation (WSD)
Chinese Word Segmentation (CWS) with Character Glyph Embedding
Advisor: Prof. Baobao Chang
Engineering Research Center of Virtual Reality and Applications, Beijing Normal University, Beijing, China
Research Assistant • Jul. 2017 to Feb. 2017
Human Brain's CT-MRI Heterogeneous Data Fusion and Visualization
Advisor: Prof. Yanlin Luo
School of Life Science, Beijing Normal University, Beijing, China
Research Assistant • Nov. 2015 to Sept. 2017
Genetic Biological Parallel Computing System for NP-hard Problems
Advisor: Prof. Xudong Zhu
Honors & Awards

Gold Medal in International Genetically Engineered Machine Competition (iGEM) at Boston, Massachusetts, U.S. • 2016
Silver Medal in International Collegiate Programming Contest at Beijing regional site (ACM/ICPC, Beijing) • 2016
Bronze Medal in International Collegiate Programming Contest at Dalian regional site (ACM/ICPC, Dalian) • 2016
Best Female Team in China Collegiate Programming Final Contest (CCPC Final) • 2016
Scholarships

IBM Ph.D. Fellowship • 2022-2024 • IBM
TwoSigma Ph.D. Fellowship Final Nomination • 2022-2024 • TwoSigma
Jacobs School of Engineering Fellowship • 2020-2021 • University of California San Diego
The First-class Scholarship for Academic Excellence • 2018 • Beijing Normal University
The First-class Scholarship for Competition Excellence • 2016, 2017, 2018 • Beijing Normal University
Google Intern Scholarship • 2017 • Google Inc.