Publications

A complete and continuously updated record is available on Google Scholar.

^* Equal contribution ^† Corresponding author Underlined Students mentored by me

Preprints

Public manuscripts

2026

MentorPulse: Refreshing Cross-Model Latent Guidance for Long-Form Generation

Ziwu Liu, Guozhong Li, Chen Qiu, Weiyang Kong, Panos Kalnis

arXiv arXiv:2608.20927

Paper

2026

KVDiagnosis: A Diagnostic Benchmark for KV-Cache Compression in Long-Context Language Models

Chen Qiu, Ziwu Liu, Chao Fei, Guozhong Li, Panos Kalnis

arXiv arXiv:2608.09412

Paper Code

2026

Can Deep Neural Networks Improve Compression of Very Large Scientific Data?

Muhannad Alhumaidi, Guozhong Li, Spiros Skiadopoulos, Panos Kalnis

arXiv arXiv:2606.14353

Paper Code

2026

ART: Attention Run-time Termination for Efficient Large Language Model Decoding

Chen Qiu, Guozhong Li, Cristian McGee, Aritra Dutta, Panos Kalnis

arXiv arXiv:2606.00024

Paper

2026

CHESS: Context-aware Hierarchical Efficient Semantic Selection for Long-Context LLM Inference

Chao Fei, Guozhong Li, Chenxi Liu, Panos Kalnis

arXiv arXiv:2602.20732

Paper

Selected Publications

Peer-reviewed

2027

TSTUDIO: Efficient Discovery of Semantic Tokens for Long Time Series Transformers

Rundong Zuo, Rui Cao, Guozhong Li, Byron Choi, Sourav S. Bhowmick

ICDE IEEE International Conference on Data Engineering, accepted, 2027

Code

2026

Structure-Aware Abstraction of Hierarchical Time Series

Yihan Wu, Xuliang Zhu^†, Guozhong Li^†, Kai Wang, Xueming Lin

KDD Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 5500–5511, 2026

Paper Code Zenodo

2026

GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders

Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Ibrahim Hoteit, Panos Kalnis

TKDE IEEE Transactions on Knowledge and Data Engineering, vol. 38, no. 6, pp. 3597–3610, 2026

Paper Code

2025

LLMComp: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression

Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Panos Kalnis

IEEE BigData IEEE International Conference on Big Data, pp. 2212–2219, 2025

Paper

2025

leSAX Index: A Learned SAX Representation Index for Time Series Similarity Search

Guozhong Li, Byron Choi, Rundong Zuo, Sourav S. Bhowmick, Jianliang Xu

ICDE The 41st IEEE International Conference on Data Engineering, May 2025

Paper Code

2024

DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series

Rundong Zuo, Guozhong Li^†, Rui Cao, Byron Choi^†, Jianliang Xu, Sourav S. Bhowmick

PVLDB Proceedings of the VLDB Endowment, vol. 17, no. 11, pp. 3229–3242, 2024

Paper Code

2023

SVP-T: A Shape-level Variable-Position Transformer for Multivariate Time Series Classification

Rundong Zuo, Guozhong Li^†, Byron Choi, Sourav S. Bhowmick, Ngar-yin Mah, Grace Wong

AAAI The 37th AAAI Conference on Artificial Intelligence, Oral Paper, 2023

Paper Code

2022

SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data

Li Yan, Nerissa Xu, Guozhong Li, Sourav S. Bhowmick, Byron Choi, Jianliang Xu

PVLDB Proceedings of the VLDB Endowment, vol. 15, no. 12, pp. 3650–3653, 2022

Paper Video

2022

IPS: Instance Profile for Shapelet Discovery for Time Series Classification

Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Ngar-yin Mah, Grace Wong

ICDE The 38th IEEE International Conference on Data Engineering, pp. 1781–1793, 2022

Paper

2022

Efficient Shapelet Discovery for Time Series Classification

Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok Pan Chun, Grace Wong

TKDE IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 3, pp. 1149–1163, 2022

Paper Supporting material

2021

ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok Pan Chun, Grace Wong

AAAI The 35th AAAI Conference on Artificial Intelligence, Oral Paper, 2021

Paper Supporting material

2020

Visualet: Visualizing Shapelets for Time Series Classification

Guozhong Li, Byron Choi, Sourav S. Bhowmick, Kwok Pan Chun, Grace Wong, Shiwen Li

CIKM 29th ACM International Conference on Information and Knowledge Management, pp. 3429–3432, 2020

Paper Video

Guozhong Li (李国忠)

Publications

Preprints

MentorPulse: Refreshing Cross-Model Latent Guidance for Long-Form Generation

KVDiagnosis: A Diagnostic Benchmark for KV-Cache Compression in Long-Context Language Models

Can Deep Neural Networks Improve Compression of Very Large Scientific Data?

ART: Attention Run-time Termination for Efficient Large Language Model Decoding

CHESS: Context-aware Hierarchical Efficient Semantic Selection for Long-Context LLM Inference

Selected Publications

TSTUDIO: Efficient Discovery of Semantic Tokens for Long Time Series Transformers

Structure-Aware Abstraction of Hierarchical Time Series

GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders

LLMComp: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression

leSAX Index: A Learned SAX Representation Index for Time Series Similarity Search

DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series

SVP-T: A Shape-level Variable-Position Transformer for Multivariate Time Series Classification

SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data

IPS: Instance Profile for Shapelet Discovery for Time Series Classification

Efficient Shapelet Discovery for Time Series Classification

ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

Visualet: Visualizing Shapelets for Time Series Classification