Publications

For the full list, please visit my Google Scholar.

(“*” equal contribution, “†” corresponding author, “__” students mentored by me)

Under Review

1. [ICDE] TSTUDIO: Efficient Discovery of Semantic Tokens for Long Time Series Transformers. [Paper] [Code]
   Rundong Zuo, Rui Cao, Guozhong Li, Byron Choi, Sourav S. Bhowmick
   IEEE International Conference on Data Engineering (ICDE), Under Review, 2026.

2. [ICDE] Efficient Cross-modal Attention Learning for Multimodal Time Series Forecasting. [Paper] [Code]
   Rui Cao, Rundong Zuo, Guozhong Li, Byron Choi, Yafei Li, Renchi Yang
   IEEE International Conference on Data Engineering (ICDE), Under Review, 2026.

3. [EDBT] Can Deep Neural Networks Improve Compression of Very Large Scientific Data? [Paper] [Code]
   Muhannad Alhumaidi, Guozhong Li, Spiros Skiadopoulos, Panos Kalnis
   International Conference on Extending Database Technology (EDBT), Under Review, 2026.

Selected Publications

2026

1. [KDD] Structure-Aware Abstraction of Hierarchical Time Series. [Paper] [Code] [Zenodo]
   Yihan Wu, Xuliang Zhu^†, Guozhong Li^†, Kai Wang, Xueming Lin
   Proceedings of ACM Conference on Knowledge Discovery and Data Mining (KDD), Accepted, 2026.

2. [TKDE] GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders. [ArXiv] [Code]
   Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Ibrahim Hoteit, Panos Kalnis
   IEEE Transactions on Knowledge and Data Engineering (TKDE), Accepted, 2026.

2025

3. [IEEE BigData] LLMComp: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression.[ArXiv]
   Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Panos Kalnis
   IEEE International Conference on Big Data (IEEE BigData), 2025.

4. [ICDE] leSAX Index: A Learned SAX Representation Index for Time Series Similarity Search. [Paper] [Code]
   Guozhong Li, Byron Choi, Rundong Zuo, Sourav S. Bhowmick, Jianliang Xu
   The 41st IEEE International Conference on Data Engineering (ICDE 2025), May 2025.

2024

5. [PVLDB] DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series. [Paper] [Code]
   Rundong Zuo, Guozhong Li^†, Rui Cao, Byron Choi, Jianliang Xu, Sourav S. Bhowmick
   Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 11, pp. 3229–3242, Aug 2024.

2023

6. [AAAI] SVP-T: A Shape-level Variable-Position Transformer for Multivariate Time Series Classification. [Paper] [Code]
   Rundong Zuo, Guozhong Li^†, Byron Choi, Sourav S. Bhowmick, Ngar-yin Mah, Grace Wong
   The 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Oral Paper.

2022

7. [PVLDB] SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data. [Paper] [Video]
   Li Yan, Nerissa Xu, Guozhong Li, Sourav S. Bhowmick, Byron Choi, Jianliang Xu
   Proceedings of the VLDB Endowment (PVLDB), Vol. 15, No. 12, pp. 3650–3653, Sept 2022.

8. [ICDE] IPS: Instance Profile for Shapelet Discovery for Time Series Classification. [Paper]
   Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Ngar-yin Mah, Grace Wong
   The 38th IEEE International Conference on Data Engineering (ICDE 2022), pp. 1781–1793, May 2022.

9. [TKDE] Efficient Shapelet Discovery for Time Series Classification. [Paper] [Supporting material]
   Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok Pan Chun, Grace Wong
   IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 34, No. 3, pp. 1149–1163, 2022.

2021

10. [AAAI] ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification. [Paper] [Supporting material]
    Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok Pan Chun, Grace Wong
    The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Oral Paper.

2020

11. [CIKM] Visualet: Visualizing Shapelets for Time Series Classification. [Paper] [Video]
    Guozhong Li, Byron Choi, Sourav S. Bhowmick, Kwok Pan Chun, Grace Wong, Shiwen Li
    29th ACM International Conference on Information and Knowledge Management (CIKM 2020), pp. 3429–3432.