Jianhong Tu
First-year Comp. Sci. PhD student @ UCSC
I am a first-year PhD student in Computer Science at University of California, Santa Cruz, advised by Dr. Chenguang Wang. I am also a post-training researcher with the Amazon Nova AI Challenge at UC Santa Cruz. Before that, I completed my Bachelor’s degree in Data Science at Washington University in St. Louis, where I was a student researcher at the Hengen Lab, supervised by Dr. Keith Hengen and Dr. James McGregor.
My research interests lie in foundation models, post-training, agentic AI, and cybersecurity. Outside my lab, I enjoy city-pop music and hiking.
| CV | Google Scholar |
Publications
2026
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- AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility2026Preprint
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- FaultLoc: Evaluating Coding Agents for Fault LocalizationIn Second Workshop on Agents in the Wild: Safety, Security, and Beyond (AIWILD), ICML, 2026
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A Comprehensive Survey of Evaluating Multimodal Foundation Models: Hierarchical Perspective and Extensive Applications2026Under review at ARR 2026 - CyberCycle: A Scalable Real-World Benchmark for AI Agents’ End-to-End Cybersecurity CapabilitiesIn Proceedings of the International Conference on Machine Learning, 2026
- FICO: Evaluating Vision-Language Models under Visual Fidelity and Compression at ScaleIn Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2026
2025
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MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language ModelsIn Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM), Aug 2025 -
Predicting Task Performance with Context-aware Scaling LawsIn Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM), Aug 2025
2024
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⭐ Failure in a population: Tauopathy disrupts homeostatic set-points in emergent dynamics despite stability in the constituent neuronsNeuron, Aug 2024Cover Paper