CiCi Yutong Cheng

Ph.D. candidate @Virginia Tech, Department of Computer Science.

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About Me

Hi, I’m CiCi! Thanks for visiting my homepage. My current interests linger especially on modeling real-world task environments as executable code — enabling agents to perceive, understand, and plan within a machine-friendly, hallucination-free, and adaptable framework. Specifically, my research circles around three pillars:

  • Code World Model: translating environments and trajectories into formal, executable world models represented as code, serving as a verifiable simulation engine for high-performance reasoning and planning.

  • Coding Intelligence: software engineering tasks left unsolved by today’s coding agents, e.g., legacy codebase understanding and migration, test generation, code documentation, and beyond.

  • Test-Time Optimization: task-time adaptation through inference-time search and RL algorithms over the rollout space.

Internships & Experience

  • Research intern, NEC Laboratories America, advised by Dr. Wei Cheng, 05/2026–present, working on multi-objective quality–diversity optimization for test suite generation — higher quality at a smaller footprint.

  • Research intern, NEC Laboratories America, advised by Dr. Wei Cheng, 01/2026–03/2026, working on inference-time tree search to optimize code documentation for agent-oriented code reimplementation and migration.

  • Research intern, MetaGPT (Atoms.dev), 10/2024–12/2024, working on testing LLM-generated software via static and dynamic analysis in sandboxed environments.

Awards

  • 2026 Future Leaders of AI, ACM AI Leadership Summit.

  • 2026 ICML Golden Reviewer Award.

  • 2025 CCI SWVA Cyber Innovation Scholarship.

  • 2024 CCI SWVA Cyber Innovation Scholarship.

  • 2024 Bitshares Fellowship.

Services

  • Program Committee, AAAI 2027.

  • Reviewer, ICML 2026, NeurIPS 2026, COLM 2026.

  • Student Organizer, 2024 DMV Security Workshop.

Resources

  • awesome-world-models — a curated reading list on world models for embodied AI, tracing the generative and action-centric schools across foundation architectures, video and latent models, 3D scene generation, VLA models, simulators, and benchmarks. Awesome

Selected Publications

  1. arXiv 2026
    CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence
    Yutong Cheng , Changze Li, Qian Cui, Wei Ding, Lingzhi Wang, Yan Chen, and Peng Gao
    arXiv preprint arXiv:2608.18613, 2026
    Paper Code
  2. KDD 2026
    CTIConnect: A Benchmark for Retrieval-Augmented LLMs over Heterogeneous Cyber Threat Intelligence
    Yutong Cheng , Yang Liu, Changze Li, Dawn Song, and Peng Gao
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, SIGKDD, 2026
    Paper Code Website
  3. ICML 2026
    Escaping Whack-a-Mole: Optimizing Documentation as Repo-Specific Playbooks for Coding Agents
    Yutong Cheng , Haifeng Chen, Wenchao Yu, Xujiang Zhao, Peng Gao, and Wei Cheng
    In Proceedings of the 43rd International Conference on Machine Learning, ICML, 2026
    Adopted by NEC for repo-level test and documentation generation across large-scale Go and Java legacy codebases.
    Paper Code
  4. EACL 2026
    NL2Logic: AST Guided Translation of Natural Language into First-Order Logic with Large Language Models
    Rizky Ramadhana Putra, Raihan Sultan Pasha Basuki,  Yutong Cheng , and Peng Gao
    In Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL, 2026
    Paper Code
  5. Euro S&P 2025
    CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models
    Yutong Cheng , Osama Bajaber, Saimon Amanuel Tsegai, Dawn Song, and Peng Gao
    In Proceedings of the 10th IEEE European Symposium on Security and Privacy, Euro S&P, 2025
    Adopted by Palo Alto Networks, ThreatConnect, and multiple other security companies for automated threat intelligence analysis
    Tutorial presented at the PRISM Workshop of NDSS 2026.
    Paper Code Website PyPI Downloads
  6. ESEC/FSE 2023
    Hue: A user-adaptive parser for hybrid logs
    Junjielong Xu, Qiuai Fu, Zhouruixing Zhu,  Yutong Cheng , Zhijing Li, Yuchi Ma, and Pinjia He
    In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE, 2023
    Paper Code