Hua Wei (him/his) is an assistant professor at the School of Computing and Augmented Intelligence (SCAI) in Arizona State University (ASU). His research is mainly focused on machine learning and data mining.

Before joining ASU, he worked as an Assistant Professor at the New Jersey Institute of Technology and as a Staff Researcher at Tencent AI Lab. He got his PhD from Pennsylvania State University in 2020 under the supervision of Dr. Zhenhui (Jessie) Li. He received his master’s and bachelor’s degrees from Beihang University (BUAA), majoring in Computer Science, working with Prof. Jinpeng Huai and Dr. Tianyu Wo.

Research Interests: Reinforcement Learning, Data Mining, Urban Computing, Human-in-the-loop Computations

News

[01/04/2025] Our papers “Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design“, “Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models“, and “Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment” have been accepted by EACL 2025.

[12/17/2025] Congratulations to our amazing undergrad researchers Shreyas Bachiraju and Albert Vo, for getting the honorable mention for the CRA 2025/2026 Outstanding Undergraduate Researchers Award!

[11/08/2025] Our paper “Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving” has been accepted by AAAI 2026.

[10/28/2025] Our research on shade modeling for heatwave is covered by local news: “Can AI help Arizonans find the shadiest route to keep cool? This ASU professor thinks so – KJZZ“

[10/17/2025] Glad to receive support from the Arizona Department of Transportation.

[09/03/2025] Glad to receive the Cisco Faculty Research Award.

[08/06/2025] Our paper “cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending” is accepted by CIKM 2025.

[07/28/2025] Glad to receive support from the Google Cloud Research Credits Program.

[07/10/2025] Glad to receive NSF CAREER Award.

[07/07/2025] Our paper “Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology” is accepted by the Second Conference on Language Modeling (COLM’25).

[07/01/2025] One paper “MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring” is accepted by ITSC’25.

[06/30/2025] Glad to receive consecutive support from the OpenAI API Researcher Access Program.

[05/17/2025] We will organize “The 4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)” and “The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking“. Please consider submitting papers and attending our workshops!

[05/15/2025] Two papers are accepted by ACL’25.

[05/14/2025] Two papers are accepted by KDD’25 Research Track.

[05/09/2025] Our paper “Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control” is accepted by Reinforcement Learning Conference (RLC’25).

[05/08/2025] Our paper “Uncertainty Quantification for Physics-Informed Traffic Graph Networks” is awarded the Best Artifact Award by ICCPS’25.

[05/07/2025] Our survey and tutorial “Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey” is accepted by KDD’25. See you in Toronto!

[05/04/2025] Longchao is awarded the Best Poster Award by SIAM SDM 2025.

[05/01/2025] Two papers are accepted by ICML’25.

[02/20/2025] Glad to be part of a team to receive a grant to develop AI-powered tools to assist emergency response and disaster management. Check the news out on the ABOR website.

[01/28/2025] Our paper “Uncertainty Quantification for Physics-Informed Traffic Graph Networks” is accepted by ICCPS’25.