Chaoqi Zhang

About

I am a Ph.D. candidate in Computer Science at Indiana University Bloomington, advised by Prof. Haixu Tang. Previously, I received an M.Sc. in Information Technology from the Hong Kong University of Science and Technology and a B.Eng. in Communication Engineering from the University of Electronic Science and Technology of China.

My research lies at the intersection of time series forecasting and AI for healthcare. I aim to build forecasting models that are accurate, efficient, and reliable, and to apply them to real-world clinical data, with the broader goal of developing trustworthy foundation models for healthcare.

Earlier in my Ph.D., I worked on the security and privacy of real-world systems, ranging from mobile software supply chains to robotic vehicles, with publications at ACM CCS, USENIX Security, and ICRA. I am always happy to discuss research and potential collaborations — feel free to reach out.

News

• 2026
  New preprint on long-horizon forecasting of cardiovascular waveforms is now on arXiv, with code released on GitHub.
• 2026
  Our new preprint on long-term time series forecasting is now available on arXiv.
• 2026
  Our benchmark for LLMs as analytical-chemistry lab engineers accepted to ACL 2026 (Findings).
• 2026
  RVSPEC, on formal specification of robotic vehicle control software, accepted to ICRA 2026.
• 2025
  Received the Best Poster Award at the Midwest Security Workshop for our poster on multi-agent formal specification of robotic vehicle control software, also presented at VehicleSec 2025.
• 2024
  Avara, on perceptibility analysis of adversarial object evasion attacks, accepted to ACM CCS 2024 (co-first author).
• 2024
  Our study on privacy label compliance of third-party libraries accepted to ACM CCS 2024.
• 2024
  iHunter, on hunting privacy violations in the iOS software supply chain, accepted to USENIX Security 2024.

Publications

* denotes equal contribution. See also Google Scholar.

1. When2What: A Timing-Conditioned Framework for Long-Horizon Forecasting of Continuous Cardiovascular Waveforms Chaoqi Zhang, Shujie Yan, Zhao Zhang, Yanhua Sun, Yu Wang, Li Li, Lingzhong Meng, Xiaoyi Chen, Haixu Tang arXiv preprint arXiv:2611.08993 arXiv 2026 arXiv PDF Code
2. From HL to H+L−1 Parameters: A Hankel–Toeplitz Forecaster for Long-Term Time Series Forecasting Chaoqi Zhang, Yu Wang, Haixu Tang arXiv preprint arXiv:2609.33984 arXiv 2026 arXiv PDF
3. LLMs as Lab Engineers: A Benchmark for Analytical Method Lifecycle Management Xiaoyi Chen, Mahsa Monshizadeh, Chaoqi Zhang, Jianjun Lang, Yang Wu, Genevieve Mortensen, Xiaozhong Liu, Haixu Tang Findings of the Association for Computational Linguistics ACL 2026 PDF
4. RVSPEC: Cyber-Physical Interplay Graphs for Formal Specification of Robotic Vehicle Control Software Chaoqi Zhang, Minhyun Cho, Inseok Hwang, Hyungsub Kim IEEE International Conference on Robotics and Automation ICRA 2026
5. A Multi-Agent Framework for Formal Specification of Robotic Vehicle Control Software Chaoqi Zhang, Hyungsub Kim 3rd USENIX Symposium on Vehicle Security and Privacy, poster VehicleSec 2025 PDF Best Poster Award, Midwest Security Workshop 2025
6. Avara: A Uniform Evaluation System for Perceptibility Analysis Against Adversarial Object Evasion Attacks Xinyao Ma*, Chaoqi Zhang*, Huadi Zhu*, Jean Camp, Ming Li, Xiaojing Liao ACM SIGSAC Conference on Computer and Communications Security CCS 2024 PDF
7. Measuring Compliance Implications of Third-party Libraries' Privacy Label Disclosure Guidelines Yue Xiao, Chaoqi Zhang, Qin Yue, Fares Fahad S Alharbi, Luyi Xing, Xiaojing Liao ACM SIGSAC Conference on Computer and Communications Security CCS 2024 PDF
8. iHunter: Hunting Privacy Violations at Scale in the Software Supply Chain on iOS Dexin Liu, Yue Xiao, Chaoqi Zhang, Kaitao Xie, Xiaolong Bai, Shikun Zhang, Luyi Xing The 33rd USENIX Security Symposium USENIX Security 2024 PDF
9. Cquirrel: Continuous Query Processing over Acyclic Relational Schemas Qichen Wang, Chaoqi Zhang, Danish Alsayed, Ke Yi, Bin Wu, Feifei Li, Chaoqun Zhan Proceedings of the VLDB Endowment 14(12), demo VLDB 2021 PDF Code

Teaching & Service

• Teaching
  Assistant Instructor, Indiana University Bloomington (2022 – 2026)

  Advanced Operating Systems Computer Networks Systems & Protocol Security & Information Assurance Security for Networked Systems Data Analysis and Mining Big Data Analytics
• Reviewer
  IEEE ICASSP (2027), IEEE S&P (2023 – 2025), RAID (2025), ACM CCS (2023), ACSAC (2023)
• Artifact Evaluation
  NDSS (2026), ACM CCS (2025), ACSAC (2022, 2023)