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Jianhong Tu's curriculum vitae.
Basics
| Name | Jianhong Tu |
| Label | Computer Science PhD Student |
| tovitusaikou@gmail.com | |
| Phone | +1 (314) 728-7557 |
| Url | https://jianhongtu.github.io/ |
| Summary | Research interests: Foundation Models, Post-Training, Agentic AI, Cybersecurity |
Education
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2025.09 - Present Santa Cruz, CA
PhD in Computer Science
University of California, Santa Cruz
Advisor: Chenguang Wang
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2025.01 - 2025.07 St. Louis, MO
PhD in Computer Science
Washington University in St. Louis
Advisor: Chenguang Wang
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2021.09 - 2024.12 St. Louis, MO
BS in Data Science
Washington University in St. Louis
GPA: 4.0/4.0
Publications
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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
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2026.04 - 2026.06 Teaching Assistant
NLP 203: Natural Language Processing III -- UCSC
Teaching experience.
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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.
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2024.06 - 2024.12 Peer Research Mentor
Research Experience for Undergraduates Program -- WashU
Teaching and mentorship experience.
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2024.01 - 2024.05 Teaching Assistant
CSE 561: Large Language Models -- WashU
Teaching experience.
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2024.01 - 2024.05 Teaching Assistant
CSE 527: Natural Language Processing -- WashU
Teaching experience.
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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 |