Haozheng Luo
Scholar

Haozheng Luo

Google Scholar ID: MzH7kAcAAAAJ
Northwestern University
Foundation ModelTrustworthy AIEfficient AITest-time Scaling Law(* denotes equal contribution)
Citations & Impact
All-time
Citations
214
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Papers accepted at top conferences like ICML, NeurIPS, USENIX Security, etc.; served as a TA for CS348 and CS450; selected as a DAAD AINeT Fellow for the Postdoc-NeT-AI 11/2025 program on Explainable AI.
Research Experience
  • During his PhD, he has been involved in multiple research projects covering various aspects of large foundation models, such as memory retrieval, memory-enhanced models, and memory editing techniques. He also worked on multimodality, human-robot interaction, reinforcement learning, and natural language understanding before his PhD studies.
Education
  • Fourth-year Ph.D. candidate in the Computer Science Department at Northwestern University, advised by Professor Yan Chen and Han Liu.
Background
  • PhD in Computer Science, with research interests focusing on the learning aspects of AI, particularly in large language models, large reasoning models, and multi-modal environments. Special interests include comprehensible, responsible, accessible, and actionable foundation models and their applications.
Miscellany
  • Has developed interests in many activities over time, including photography, hiking, and traveling. Offers 1 hour weekly for master, undergrad, and high school outreach students to chat about Research, Grad School, and National Parks.