Hi! I am Guozhong Li, currently a Postdoctoral Research Fellow at King Abdullah University of Science and Technology (KAUST), and I am very honored to be advised by Prof. Panos Kalnis. Prior to that, I was fortunate to complete my Ph.D. in Computer Science at Hong Kong Baptist University (HKBU), under the supervision of Prof. Byron Choi and Prof. Jianliang Xu. I was also a member of the HKBU Database Group.

🔍 Research

My research focuses on spatiotemporal modeling and structure-aware representation learning for time series and spatiotemporal (scientific) data, aiming to capture long-range and multimodal dependencies while supporting downstream tasks such as classification, clustering, forecasting, retrieval, and error-bounded compression with both efficiency and interpretability. I pursue this goal through advances in shape-based models, attention-based architectures, symbolic and graph-based representations, and unified frameworks for large-scale temporal reasoning.

To realize this vision, my work contributes to the following four directions:

• Interpretable Representations for Temporal Understanding
  Shapelet-based models and instance profile techniques are developed to enable scalable and explainable time series analysis.
  (ShapeNet: AAAI’21, [iGSL - Ongoing], Autoshape: ArXiv, IPS: ICDE’22, BSPCover: TKDE’22 )

• Transformer Architectures for Temporal Modeling
  Variable-position and data-driven attention mechanisms are designed to capture long-range dependencies in multivariate sequences.
  (SVP-T: AAAI’23, DARKER: PVLDB’24, [Multimodal Transformer - Ongoing])

• Learned Index and Retrieval in Large-scale Time Series
  Symbolic and neural representations are learned to support efficient similarity search in large-scale temporal datasets.
  (leSAX: ICDE’25)

• Graph and LLM-based Compression for Scientific Data
  Leverage temporal graphs and LLMs to design frameworks that support controllable, error-bounded scientific data compression. (GraphCom: ArXiv, [LLMComp - Ongoing])

🎓 Education

• Ph.D. in Computer Science, Hong Kong Baptist University (HKBU), Hong Kong SAR, China
  2017 – 2021
  Thesis: Shapelet Discovery for Time Series Analysis

• M.E. in Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China
  2014 – 2017

• B.E. in Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China
  2010 – 2014

🎖 Honors and Awards

• Research Performance Award, Hong Kong Baptist University, 2020, 2021.
• Excellent Teaching Assistant Performance Award, Hong Kong Baptist University, 2018, 2019.
• Teaching Assistant Performance Award, Hong Kong Baptist University, 2017, 2018, 2019.
• IBM-CSC Scholarship, IBM & Chinese Scholarship Council, 2015.
• National Scholarship, Ministry of Education, P.R.China. 2011, 2012, 2013,2016.