Guozhong Li

Orcid: 0000-0002-1199-9222

Affiliations:
  • King Abdullah University of Science and Technology (KAUST),Computer, Electrical and Mathematical Sciences and Engineering Division, Thuwal, Saudi Arabia
  • Hong Kong Baptist University (HKBU), Department of Computer Science, Hong Kong (PhD)
  • University of Electronic Science and Technology of China (UESTC), School of Information and Software Engineering, China


According to our database1, Guozhong Li authored at least 23 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Extreme Error-Bounded Compression of Scientific Data via Temporal Graph Autoencoders.
IEEE Trans. Knowl. Data Eng., June, 2026

CHESS: Context-aware Hierarchical Efficient Semantic Selection for Long-Context LLM Inference.
CoRR, February, 2026

2025
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders.
CoRR, May, 2025

leSAX Index: A Learned SAX Representation Index for Time Series Similarity Search.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

LLMCOMP: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series.
Proc. VLDB Endow., July, 2024

2023
SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Efficient Shapelet Discovery for Time Series Classification.
IEEE Trans. Knowl. Data Eng., 2022

SENSOR: Data-driven Construction of Sketch-based Visual Query Interfaces for Time Series Data.
Proc. VLDB Endow., 2022

AUTOSHAPE: An Autoencoder-Shapelet Approach for Time Series Clustering.
CoRR, 2022

IPS: Instance Profile for Shapelet Discovery for Time Series Classification.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Efficient Shapelet Discovery for Time Series Classification (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Visualet: Visualizing Shapelets for Time Series Classification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018
Answering the Why-Not Questions of Graph Query Autocompletion.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
A Comparative Study of Data Skew in Hadoop.
Proceedings of the VI International Conference on Network, Communication and Computing, 2017

2016
HScheduler: an optimal approach to minimize the makespan of multiple MapReduce jobs.
J. Supercomput., 2016

Self-Adaptive Consolidation of Virtual Machines For Energy-Efficiency in the Cloud.
CoRR, 2016

2015
Open-source simulators for Cloud computing: Comparative study and challenging issues.
Simul. Model. Pract. Theory, 2015

CloudSimNFV: Modeling and Simulation of Energy-Efficient NFV in Cloud Data Centers.
CoRR, 2015

Prepartition: Paradigm for the Load Balance of Virtual Machine Allocation in Data Centers.
CoRR, 2015

Transforming NP to P: An Approach to Solve NP Complete Problems.
CoRR, 2015

FlexCloud: A Flexible and Extendible Simulator for Performance Evaluation of Virtual Machine Allocation.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015


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