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 centers on time series forecasting. I am broadly interested in understanding what makes forecasting models accurate, efficient, and reliable, spanning both the principles behind forecasting architectures and how they generalize and extrapolate over long horizons in practice. Beyond general-purpose forecasting, I apply these ideas to vital signals such as the electrocardiogram (ECG), with the broader goal of developing reliable foundation models for healthcare.
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.
News
- 2026Our new preprint on long-term time series forecasting is now available on arXiv.
- 2026Our benchmark for LLMs as analytical-chemistry lab engineers accepted to ACL 2026 (Findings).
- 2026RVSPEC, on formal specification of robotic vehicle control software, accepted to ICRA 2026.
- 2025Received 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.
- 2024Avara, on perceptibility analysis of adversarial object evasion attacks, accepted to ACM CCS 2024 (co-first author).
- 2024Our study on privacy label compliance of third-party libraries accepted to ACM CCS 2024.
- 2024iHunter, on hunting privacy violations in the iOS software supply chain, accepted to USENIX Security 2024.
Publications
* denotes equal contribution. See also Google Scholar.
- From HL to H+L−1 Parameters: A Hankel–Toeplitz Forecaster for Long-Term Time Series Forecasting arXiv preprint arXiv:2609.33984 arXiv 2026 arXiv PDF
- LLMs as Lab Engineers: A Benchmark for Analytical Method Lifecycle Management Findings of the Association for Computational Linguistics ACL 2026 PDF
- RVSPEC: Cyber-Physical Interplay Graphs for Formal Specification of Robotic Vehicle Control Software IEEE International Conference on Robotics and Automation ICRA 2026
- A Multi-Agent Framework for Formal Specification of Robotic Vehicle Control Software 3rd USENIX Symposium on Vehicle Security and Privacy, poster VehicleSec 2025 PDF Best Poster Award, Midwest Security Workshop 2025
- Avara: A Uniform Evaluation System for Perceptibility Analysis Against Adversarial Object Evasion Attacks ACM SIGSAC Conference on Computer and Communications Security CCS 2024 PDF
- Measuring Compliance Implications of Third-party Libraries' Privacy Label Disclosure Guidelines ACM SIGSAC Conference on Computer and Communications Security CCS 2024 PDF
- iHunter: Hunting Privacy Violations at Scale in the Software Supply Chain on iOS The 33rd USENIX Security Symposium USENIX Security 2024 PDF
- Cquirrel: Continuous Query Processing over Acyclic Relational Schemas Proceedings of the VLDB Endowment 14(12), demo VLDB 2021 PDF Code
Teaching & Service
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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
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Artifact Evaluation
NDSS (2026), ACM CCS (2025), ACSAC (2022, 2023)
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Reviewer
IEEE S&P (2023 – 2025), RAID (2025), ACM CCS (2023), ACSAC (2023)