Zexue He
I am a fourth-year Ph.D. candidate advised by Prof. Julian McAuley in the Computer Science department at the University of California, San Diego.
Prior to joining UCSD in 2020, I earned my B.S. degree in Computer Science from Beijing Normal University.
My research interests covers a wide range of topics related to language models and multimodal learning:
- Trustworthy LLM: fairness, robustness, interpretability, and controllability;
- Data Efficiency: learning with synthetic data;
- LLM Applications: domain-specific LLMs, e.g., medical or high-fashion LLMs.
- Memory-augmented LLM : novel architectures for long-context language/video tasks (my new research direction!).
I am honored to be awarded the IBM PhD Fellowship !
Email  / 
Google Scholar  / 
DBLP  
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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
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B.S.              2015 - 2019
                       College of Information Science and Technology, Beijing Normal University (BNU), China
                       B.S. in Computer Science and Technology
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Trustworthy LLM
Zexue He, Marco Tulio Ribeiro, Fereshte Khani
ACL 2023 .
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Bodhisattwa Majumder*
Zexue He*,
Julian McAuley
EMNLP 2023. *Equal.
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Zexue He,
Yu Wang,
Julian McAuley,
Bodhisattwa Majumder
EMNLP2022 Findings
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Canwen Xu,
Zexue He,
Zhankui He,
Julian McAuley
AAAI 2022 .
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Zexue He,
Bodhisattwa Majumder,
Julian McAuley
EMNLP 2021 Findings.
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Haohan Wang,
Zexue He,
Prof. Zachary C. Lipton,
Eric P. Xing.
ICLR 2019,
Oral Presentation.
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Fuli Luo,
Tianyu Liu,
Zexue He,
Qiaolin Xia,
Zhifang Sui
Baobao Chang.
EMNLP 2018
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Efficiency
Zexue He*,
Graeme Blackwood*, Rameswar Panda, Julian McAuley, Rogerio Feris
ACL2023 Findings.
*Equal Contribution.
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Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian McAuley
Preprint 2023
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LLM Applications
Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian McAuley
AAAI 2024 .
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Zexue He,
Yu Wang, An Yan, Yao Liu, Eric Y Chang, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
EMNLP 2023.
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Zexue He,
An Yan, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
AAAI 2023.
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Multimodal
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian McAuley
ICCV 2023.
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An Yan, Yu Wang, Petros Karypis, Zexue He, Amilcare Gentili, Chun-Nan Hsu, Julian McAuley
NeurIPS 2023 Medical Imaging Workshop.
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An Yan,
Zexue He,
Xing Lu. Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley and Chun-Nan Hsu
EMNLP 2021 Findings.
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Zexue He,
Li Zhu,
Minjie Li,
Jinyao Li,
Yiran Chen,
Yanlin Luo.
SCI Journal: SCIENCE CHINA Information Sciences.
Coappear at International Conference of Virtual Reality and Visualization (ICVRV) 2018.
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Human in The Loop
Xiaochuan Wang,
Ning Su,
Zexue He,
Yiqun Liu,
Shaoping Ma.
SIGIR 2018
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Jiaxin Mao,
Yiqun Liu,
Noriko Kando,
Zeuxe He,
Min Zhang,
Shaoping Ma.
CHIIR 2018
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Xiangsheng Li,
Yiqun Liu,
Jiaxin Mao,
Zexue He,
Min Zhang,
Shaoping Ma.
CIKM 2018
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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
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Microsoft, Redmond, Washington
Research Intern • summer 2022
Targeted Data Generation
Advisor: Dr. Fereshte Khani Prof. Marco Tulio Ribeiro
Office of Applied Research
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NEC Labs, Princeton, NJ
Research Intern • June. 2021 to Sept. 2021
Multimodality Data Representation Learning
Advisor: Dr. Yuncong Chen
Data Science & System Security Group
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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
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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
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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.
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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
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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
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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
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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
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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
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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.
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Gallery of My Previous Fun Projects
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With our designed system, we made a movie about Daiyu Fengao, a chapter of Dream of the Red Chamber, one of China's Four Great Classical Novels
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With our data fusion algorithm, we upgraded the VisAll visulaization platform, and made it into practium by deploying it at one hospital in Beijing.
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An education App with which teachers can share notes in class in real time, arrange slides, broadcast, and display.
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