CiCi Yutong Cheng
Ph.D. candidate @Virginia Tech, Department of Computer Science.
About Me
I am a Ph.D. candidate in the Department of Computer Science at Virginia Tech, advised by Prof. Peng Gao.
I build vertical AI agents for coding and security by engineering three layers of the harness:
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Context Engineeringdistills large-scale, domain-specific knowledge corpora into structured, retrievable substrates surfaced to agents on demand. -
Inference-Time Scalingdeepens agent reasoning through guided search and execution-grounded feedback. -
Agent Workflow Designorchestrates tool use within sandboxed environments to form closed-loop, self-improving systems.
Internships & Experience
- Research intern, NEC Laboratories America, Inc., advised by Dr. Wei Cheng, Princeton, NJ, 05/2026-present, working on code-generated world models for verifiable environments.
- Research intern, NEC Laboratories America, Inc., advised by Dr. Wei Cheng, Princeton, NJ, 01/2026-3/2026, working on inference-time scaling for code documentation and test generation with execution feedback.
- Research intern, DeepWisdom, Remote, 10/2024-12/2024, working on testing LLM-generated software with static and dynamic analysis in sandboxed environments.
Awards
- 2025 CCI SWVA Cyber Innovation Scholarship.
- 2024 CCI SWVA Cyber Innovation Scholarship.
- 2024 Bitshares Fellowship.
Services
- Reviewer, ICML 2026, NeurIPS 2026, COLM 2026.
- Student Organizer, 2024 DMV Security Workshop.
Selected Publications
- ICML 2026Escaping Whack-a-Mole: Code Documentation Optimization via Dependency-Guided Bi-level SearchIn Proceedings of the 43rd International Conference on Machine Learning, ICML, 2026
- CTINEXUS: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language ModelsIn Proceedings of the 10th IEEE European Symposium on Security and Privacy, Euro S&P, 2025Adopted by cybersecurity companies (ThreatConnect, Palo Alto Networks) for automated threat intelligence analysis.