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Heng Ji
Director
Faculty
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Xiusi Chen (2024-2026)
Faculty Candidate, Reasoning, Planning and Alignment of Language Agents (SDM Best poster Award Honorable Mention, Intern at Amazon) (Thesis Committee: Wei Wang, Kai-Wei Chang, Yizhou Sun, Jeff Brantingham)
Postdocs
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Qingyun Wang (2019-2025)
Faculty Candidate, Scentiifc Knowledge Extraction and Prediction (Intern at SalesForce, Amazon, AI2) (Thesis Committee: Dilek Hakkani-Tur, Jiawei Han, Han Zhao, Graham Neubig, Tom Hope)
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Chi Han (2021-2026)
Faculty Candidate, Theoretical Understanding of Large Language Models (Amazon AICE PhD Fellow, ACL2024 Outstanding Paper Award, NAACL2024 Outstanding Paper Award, Intern at Meta, Amazon) (Thesis Committee: Dilek Hakkani-Tur, Tong Zhang, Kyunghyun Cho, Eduard Hovy, Kathleen McKeown)
Faculty Candidates Currently/Soon on Academic Job Market
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Carl Norbert Edwards (2020-2025)
Joint Learning of Molecules and Language, AI for Science and Science-Inspired AI (Intern at AI2, GenenTech) (Thesis Committee: Jiawei Han, Chengxiang Zhai, Martin Burke, Kyunghyun Cho, Gabriele Scalia)
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Chenkai Sun (2020-2025)
News Response Prediction (Joining Google as Research Scientist, ACL2024 Outstanding Paper Award, Intern at Amazon); (Co-advised by Prof. Chengxiang Zhai, Thesis Committee: Jiawei Han, Michael Bendersky, Kevin Small)
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Revanth Gangi Reddy (2022-2025)
News Claim Understanding, Situation Report Generation (Sibel Scholar, Intern at Amazon, AI2) (Thesis Committee: ChengXiang Zhai, Dilek Hakkani-Tur, Scott Yih, Dipanjan Das)
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Xiaomeng Jin (2021-2025)
Adversarial Data Augmentation, LLM Privacy Presevation (Intern at Amazon) (Thesis Committee: Dilek Hakkani-Tur, Chengxiang Zhai, Kai-Wei Chang, Luna Dong)
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Ziqi Wang (2021-2025)
Knowledge-enhanced Language Representation (Co-advised by Prof. Tong Zhang, Intern at Google, META)
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Yangyi Chen (2022-2026)
Multimodal Knowledge Extraction (NAACL2024 Outstanding Paper Award, Intern at SRI, Amazon)
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Ansel Blume (2020-2026)
Multimedia Attribute Discovery, Knowledge Learning from Simulation (Co-advised by Prof. Derek Hoiem, Intern at Amazon)
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Zhenhailong Wang (2023-2026)
Neuro-Symbolic Methods for Vision Language Models (Intern at Tencent AI, Microsoft, SalesForce)
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Charles Yu (2021-2026)
Conditioned Generation, Language Model Debiasing (Intern at Amazon)
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Jeonghwan Kim (2023-2027)
Faculty Candidate, Visual Concept Recognition, Knowledge Reasoning (Intern at Amazon, META)
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Xingyao Wang (2022-2027)
LLM Agents (NAACL2024 Outstanding Paper Award, Yunni & Maxine Pao Memorial Fellowship, Intern at Google), Co-Founder of AllHands AI (on leave 2024-2025)
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Anna Hart (2023-2028)
Faculty Candidate, AI for Bioengineering, Co-advised by Prof. Huimin Zhao
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Cheng Qian (2024-2028)
Faculty Candidate, LLM Agents
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Hyeonjeong Ha (2024-2028)
Faculty Candidate, Multimodal Knowledge Discovery and Reasoning
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Alexi Gladstone (2024-2028)
Co-advised by Prof. Jim Rehg, Cognitive Science Inspired Foundation Models
PhD Students
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Denghui Zhang (2024-)
Assistant Professor at Stevens Institute of Technology, LLM ethics and copyright
Visiting Faculty
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Peixuan Han (2024-2029)
Never Ending Information Extraction through LLMs
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Xuehang Guo (2024-2025)
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Shujin Wu (2024-2025)
human-centered AI
Visiting/Rotating Graduate Students
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Jiateng Liu (2023-)
Video Analytics
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Khanh Duy Nguyen (2024-)
HCI, Human-centered AI
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Jiaxin Qin (2024-)
LLM Knowledge Editing
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Andy Zhou (2024-) (Co-advised by Bo Li)
Adversarial Learning
Master Students
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Nishi Uppuluri (2023-)
Dialog Systems (mentored by Revanth)
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Rishub Tamirisa (2023-)
NLP for Science (mentored by Carl)
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Hongyi Du (2023-)
LLM Agent (mentored by Xingyao)