Chaoqi Zhang

Ph.D. Candidate in Computer Science
Indiana University Bloomington

Chaoqi Zhang

About

I am a Ph.D. candidate in Computer Science at Indiana University Bloomington, advised by Prof. Haixu Tang. Before coming to Indiana, 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 focuses on time series forecasting for vital signals such as the electrocardiogram (ECG). I conduct large-scale empirical studies to characterize the generalization and long-horizon extrapolation behavior of modern sequence architectures on physiological data, with the broader goal of developing reliable foundation models for healthcare. I also maintain broader interests in multimodal representation learning and large language models.

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

Time Series Forecasting Vital Signals & ECG Foundation Models AI for Healthcare

News

  • 2026 Our benchmark for LLMs as analytical-chemistry lab engineers accepted to ACL 2026.
  • 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.
  • 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

  1. 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
  2. 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
  3. 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 (*co-first authors) ACM SIGSAC Conference on Computer and Communications Security CCS 2024 PDF
  4. 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
  5. 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
  6. 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 — Advanced Operating Systems, Computer Networks, Systems & Protocol Security & Information Assurance, Security for Networked Systems, Data Analysis and Mining 2022 – 2026
  • Artifact Evaluation
    NDSS (2026), ACM CCS (2025), ACSAC (2022, 2023)
  • Reviewer
    IEEE S&P (2023 – 2025), RAID (2025), ACM CCS (2023), ACSAC (2023)