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Jianhong Tu's curriculum vitae.

Basics

Name Jianhong Tu
Label Computer Science PhD Student
Email tovitusaikou@gmail.com
Phone +1 (314) 728-7557
Url https://jianhongtu.github.io/
Summary Research interests: Foundation Models, Post-Training, Agentic AI, Cybersecurity

Education

  • 2025.09 - Present

    Santa Cruz, CA

    PhD in Computer Science
    University of California, Santa Cruz
    Advisor: Chenguang Wang
  • 2025.01 - 2025.07

    St. Louis, MO

    PhD in Computer Science
    Washington University in St. Louis
    Advisor: Chenguang Wang
  • 2021.09 - 2024.12

    St. Louis, MO

    BS in Data Science
    Washington University in St. Louis
    GPA: 4.0/4.0

Publications

  • 2026.01.01
    FICO: Evaluating Vision-Language Models under Visual Fidelity and Compression at Scale
    ACL 2026
    Jianhong Tu, Kyle Montgomery, Nicholas Crispino, Chenguang Wang, and Dawn Song.
  • 2026.01.01
    CyberCycle: A Scalable Real-World Benchmark for AI Agents' End-to-End Cybersecurity Capabilities
    ICML 2026
    Tianneng Shi, Robin Rheem, Dongwei Jiang, Francisco De La Riega, Mona Wang, Zhun Wang, Jingzhi Jiang, Alexander Cheung, Sean Tai, Jonah Cha, Jianhong Tu, Gabriel Han, Chenguang Wang, Wenbo Guo, Jingxuan He, and Dawn Song.
  • 2026.01.01
    FaultLoc: Evaluating AI Coding Agents for Fault Localization from Crash to Cause
    Under review at COLM 2026
    Jianhong Tu, Shubham Gaur, Rathik Murtinty, Zhun Wang, Tianneng Shi, Dawn Song, and Chenguang Wang.
  • 2026.01.01
    Agents' Last Exam
    Under review at NeurIPS 2026
    Yiyou Sun, Jianhong Tu, Kyle Montgomery, Vincent Siu, Chenguang Wang, Dawn Song, et al.
  • 2026.01.01
    Agentified Agent Assessment Improves Standardization Across Heterogeneous Scenarios
    Under review at NeurIPS 2026
    Xiaoyuan Liu, Jianhong Tu, Yuqi Chen, Siyuan Xie, Sihan Ren, Tianneng Shi, Gal Gantar, Peter J. Gilbert, Nick Hynes, Mauro Staver, Warren He, David Marn, Andrew Low, Xi Zhang, Daniel Miao, Evan Sandoval, Donghyun Lee, Chenguang Wang, Wenbo Guo, and Dawn Song.
  • 2025.08.01
    Predicting Task Performance with Context-Aware Scaling Laws
    Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM), ACL 2025
    Kyle Montgomery, David Park, Jianhong Tu, Michael Bendersky, Beliz Gunel, Dawn Song, and Chenguang Wang.
  • 2025.08.01
    MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models
    Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM), ACL 2025
    Jianhong Tu, Zhuohao Ni, Nicholas Crispino, Zihao Yu, Michael Bendersky, Beliz Gunel, Ruoxi Jia, Xin Liu, Lingjuan Lyu, Dawn Song, and Chenguang Wang.
  • 2025.05.01
    A Comprehensive Survey of Evaluating Multimodal Foundation Models: Hierarchical Perspective and Extensive Applications
    Under review at ARR
    Ye Yuan, Junyu Luo, Guancheng Wan, Jinsheng Huang, Chengwu Liu, Junwei Yang, Yifang Qin, Zhiping Xiao, Qingqing Long, Meng Xiao, Yiqiao Jin, Jianhong Tu, Yuqi Chen, Wei Ju, Zhongwei Wan, Yusheng Zhao, Xiao Luo, Yiwei Fu, Yizhou Sun, Wei Wang, Chenguang Wang, and Ming Zhang.
  • 2024.01.01
    Failure in a population: Tauopathy disrupts homeostatic set-points in emergent dynamics despite stability in the constituent neurons
    Neuron
    James N. McGregor, Clayton A. Farris, Sahara Ensley, Aidan Schneider, Leandro J. Fosque, Chao Wang, Elizabeth I. Tilden, Yuqi Liu, Jianhong Tu, Halla Elmore, Keenan D. Ronayne, Ralf Wessel, Eva L. Dyer, Kiran Bhaskaran-Nair, David M. Holtzman, and Keith B. Hengen. Cover Paper.

Projects

  • AgentBeats
    Contributor to a platform for standardized agent evaluation.
    • Contributed to the core architecture and implemented native support for mainstream agent harnesses.
    • Conducted a large-scale experiment to assess coding agents.

Volunteer

  • 2026.04 - 2026.06
    Teaching Assistant
    NLP 203: Natural Language Processing III -- UCSC
    Teaching experience.
  • 2026.01 - Present
    Organizer
    Second Workshop on Agents in the Wild: Safety, Security, and Beyond (ICML 2026)
    Chenguang Wang, Xinyun Chen, Wenbo Guo, Yizhou Sun, Kyle Montgomery, Yiyou Sun, Jianhong Tu, and Zhun Wang. AIWILD, ICML 2026.
  • 2024.06 - 2024.12
    Peer Research Mentor
    Research Experience for Undergraduates Program -- WashU
    Teaching and mentorship experience.
  • 2024.01 - 2024.05
    Teaching Assistant
    CSE 561: Large Language Models -- WashU
    Teaching experience.
  • 2024.01 - 2024.05
    Teaching Assistant
    CSE 527: Natural Language Processing -- WashU
    Teaching experience.
  • 2021.09 - 2022.05
    Teaching Assistant
    CSE 131: Introduction to Computer Science -- WashU
    Teaching experience.

Awards

  • 2026
    Amazon Nova AI Challenge Grant
    Amazon
  • 2026
    First Place in Security Track
    AgentX Competition
  • 2025
    Tinker Research Grant
    Thinking Machines Lab
  • 2025
    Dean's Select PhD Fellowship
    Washington University in St. Louis
  • 2024
    Summa Cum Laude
    Washington University in St. Louis
  • 2024
    Senior Excellence Award
    Washington University in St. Louis
  • 2022
    Antoinette Frances Dames Award
    Washington University in St. Louis
    Awarded 2022-2024.
  • 2022
    Biology Summer Undergraduate Research Fellowship
    Washington University in St. Louis
  • 2021
    Dean's List
    Washington University in St. Louis
    Awarded 2021-2024.

Skills

Research Interests
Foundation Models
Post-Training
Agentic AI
Cybersecurity