Heng Ji

Director

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)

Yuji Zhang (2023-2024)

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)

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)

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)

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)

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)

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)

Ziqi Wang (2021-2025)

Knowledge-enhanced Language Representation (Co-advised by Prof. Tong Zhang, Intern at Google, META)

Yangyi Chen (2022-2026)

Multimodal Knowledge Extraction (NAACL2024 Outstanding Paper Award, Intern at SRI, Amazon)

Ansel Blume (2020-2026)

Multimedia Attribute Discovery, Knowledge Learning from Simulation (Co-advised by Prof. Derek Hoiem, Intern at Amazon)

Zhenhailong Wang (2023-2026)

Neuro-Symbolic Methods for Vision Language Models (Intern at Tencent AI, Microsoft, SalesForce)

Charles Yu (2021-2026)

Conditioned Generation, Language Model Debiasing (Intern at Amazon)

Jeonghwan Kim (2023-2027)

Faculty Candidate, Visual Concept Recognition, Knowledge Reasoning (Intern at Amazon, META)

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)

Anna Hart (2023-2028)

Faculty Candidate, AI for Bioengineering, Co-advised by Prof. Huimin Zhao

Cheng Qian (2024-2028)

Faculty Candidate, LLM Agents

Hyeonjeong Ha (2024-2028)

Faculty Candidate, Multimodal Knowledge Discovery and Reasoning

Alexi Gladstone (2024-2028)

Co-advised by Prof. Jim Rehg, Cognitive Science Inspired Foundation Models

Denghui Zhang (2024-)

Assistant Professor at Stevens Institute of Technology, LLM ethics and copyright

Thao Thi Bich Nguyen (2023-2024)

Peixuan Han (2024-2029)

Never Ending Information Extraction through LLMs

Xiaozhi Wang (2024-)

Xuehang Guo (2024-2025)

Shujin Wu (2024-2025)

human-centered AI

Jiateng Liu (2023-)

Video Analytics

Khanh Duy Nguyen (2024-)

HCI, Human-centered AI

Jiaxin Qin (2024-)

LLM Knowledge Editing

Andy Zhou (2024-) (Co-advised by Bo Li)

Adversarial Learning

Nishi Uppuluri (2023-)

Dialog Systems (mentored by Revanth)

Rishub Tamirisa (2023-)

NLP for Science (mentored by Carl)

Hongyi Du (2023-)

LLM Agent (mentored by Xingyao)