About Me

I'm a second-year PhD student advised by Prof. John Paparrizos at The Ohio State University.
I'm currently working on Time-Series Anomaly Detection. Specifically, my research interests are centered around three main pillars:

Automation - building end-to-end automated anomaly detection system;
Reliability - towards rigorous benchmarking practice and the development of more explainable anomaly detection algorithms;
Generalizability - developing more robust and accurate models leveraging the foundation model paradigm and emerging reasoning abilities of LLMs.

📝 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

	📄 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] [Code] 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

	The Chinese University of Hong Kong, Shenzhen Jul. 2022 - Present 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