CiCi Yutong Cheng
Ph.D. candidate @Virginia Tech, Department of Computer Science.
About Me
Hi, I’m CiCi! I build self-evolving, continual-learning agents for long-horizon, open-ended tasks. My research focuses on:
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Code-as-harness— framing harness evolution as a coding task, so agents self-improve by writing and rewriting their own harness as code. -
Agent memory and retrieval— building long-term memory as self-organizing structure that links, consolidates, and ranks experience into reusable knowledge. -
Test-time optimization— task-time adaptation by selecting among rollouts guided by execution-grounded verification.
Internships & Experience
- Research intern, NEC Laboratories America, advised by Dr. Wei Cheng, 05/2026-present, building end-to-end long-horizon programming agent with self-evolving harness and memory.
- Research intern, NEC Laboratories America, advised by Dr. Wei Cheng, 01/2026-3/2026, working on inference-time scaling for code documentation and test generation with execution feedback.
- Research intern, DeepWisdom, 10/2024-12/2024, working on testing LLM-generated software with static and dynamic analysis in sandboxed environments.
Awards
- 2026 ICML Golden Reviewer Award.
- 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, 2026Adopted by NEC for repo-level test and documentation generation across large-scale Go and Java legacy codebases.
- 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 Palo Alto Networks, ThreatConnect, and multiple other security companies for automated threat intelligence analysisTutorial presented at the PRISM Workshop of NDSS 2026.