About Me

I'm a fourth-year PhD student at The Ohio State University, advised by Prof. John Paparrizos.

My research focuses on time-series analysis and anomaly detection. In particular, I work on developing automated solutions to identify unusual patterns in time series data and reduce the need for manual effort. I also explore how foundation models (including LLMs and time-series foundation models) can help us understand temporal data and make better-informed decisions. My work spans three closely connected directions:

Automation: building end-to-end anomaly detection systems that automate model selection, adaptation, and deployment.
Generalization: developing time-series foundation models that generalize to new tasks and domains with few or no labeled examples, and exploring agentic frameworks for reasoning and decision-making with temporal data.
Reliability: developing rigorous benchmarks and interpretable anomaly detection methods to make time-series analysis more reliable and transparent.

📝 Education

Aug 2023 - Present
PhD Student in Computer Science and Engineering,
The Ohio State University (OSU), USA

Sept. 2018 - Jun. 2022
B.Eng. in Electronic Information Engineering
Qiushi Honors College, Tianjin University (TJU), China

📖 Publication

	📄 Chameleon: Towards A Reliable and Efficient Automated System for Time-Series Anomaly Detection ✍️ Qinghua Liu, Mingyi Huang, John Paparrizos [Paper] [Code] Under Review
	📄 HYDRA: A Multi-Level HierarchY-Driven Approach for Robust Anomaly Detection in Time Series ✍️ Mingyi Huang, Qinghua Liu, Paul Boniol, John Paparrizos [Paper] [Code] SIGMOD 2026
	📄 MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis ✍️ Qinghua Liu, Sam Heshmati, Zheda Mai, Zubin Abraham, John Paparrizos, Liu Ren [Paper] TMLR 2026*
	📄 TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection ✍️ Qinghua Liu, Seunghak Lee, John Paparrizos [Paper] [Demo] [Code] VLDB 2025
	📄 The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark ✍️ Qinghua Liu, John Paparrizos [Paper] [Website] [Code] NeurIPS 2024
	📄 Dive into Time-Series Anomaly Detection: A Decade Review ✍️ Paul Boniol, Qinghua Liu, Mingyi Huang, Themis Palpanas, John Paparrizos [Paper] Preprint
	📄 VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection ✍️ Paul Boniol, Ashwin K Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S Tsay, Aaron Elmore, Michael J Franklin, John Paparrizos [Paper] [Code] VLDB Journal 2025
	📄 Time-Series Anomaly Detection: Overview and New Trends ✍️ Qinghua Liu, Paul Boniol, Themis Palpanas, John Paparrizos [Paper] [Website] VLDB Tutorial 2024
	📄 PIAVE: A Pose-Invariant Audio-Visual Speaker Extraction Network ✍️ Qinghua Liu, Meng Ge, Zhizheng Wu, Haizhou Li [Paper] [Code] INTERSPEECH 2023
	📄 Dive into Big Model Training ✍️ Qinghua Liu, Yuxiang Jiang [Paper] Preprint
	📄 LiMuSE: Lightweight Multi-modal Speaker Extraction ✍️ Qinghua Liu, Yating Huang, Yunzhe Hao, Jiaming Xu, Bo Xu [Paper] [Code] [Dataset] IEEE SLT 2022

🕶️ Awesome List

awesome-time-series-analysis: A curated list of awesome time-series papers, benchmarks, datasets, tutorials. [Link]

Dive-into-Big-Model-Training: A continuously updated paper list of big model training. [Link]

💼 Experience

	Visa Research May. 2026 - Aug. 2026 Research Intern (Supervisor: Junpeng Wang) Agentic Anomaly Detection in Time Series
	Bosch Research May. 2025 - Aug. 2025 Research Intern (Supervisor: Sam Heshmati) LLM-based time-series analysis and time-series foundation model
	The Chinese University of Hong Kong, Shenzhen Jul. 2022 - Jun. 2023 Research Assistant (Advisor: Prof. Haizhou Li) Audio-visual SSL and speaker extraction
	JDT, JD.com Inc Mar. 2022 - Jul. 2022 Algorithm Engineer Intern (Supervisor: Cong Guo) Machine learning platform and training parallelism
	Institute of Automation, Chinese Academy of Sciences Jun. 2021 - Jan. 2022 Research Intern (Advisor: Prof. Jiaming Xu) Lightweight multi-modal auditory frontend model computation and optimization

🏆 Academic Awards

Meritorious Winner in Mathematical Contest in Modeling | 2021
1st prize in Contemporary Undergraduate Mathematical Contest in Modeling at Tianjin region | 2020
2nd prize in National Intelligent Vehicle Contest at North China Region | 2020
1st prize in Mathematics Competition of Chinese College Students at Tianjin region | 2019

🏄 Extra Curricular Activaties

Tianjin University Student Ambassador Association
Dec. 2020 - Feb. 2022
President
Attend international exchange events and organize foreign affairs reception