Xueliang Li

Orcid: 0000-0002-8928-9933

Affiliations:
  • Shenzhen University, College of Computer Science and Software Engineering, China
  • Roskilde University, Denmark (PhD 2017)


According to our database1, Xueliang Li authored at least 13 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
IRLM: Inductive Representation Learning Model for Personalized POI Recommendation.
IEEE Trans. Comput. Soc. Syst., October, 2023

Combatting Energy Issues for Mobile Applications.
ACM Trans. Softw. Eng. Methodol., January, 2023

A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding.
IEEE Trans. Netw. Sci. Eng., 2022

Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2022

Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile Architectures.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Using Psychophysics to Guide Power Adaptation for Input Methods on Mobile Architectures.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2020
Detecting and diagnosing energy issues for mobile applications.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2016
ENTRA: Whole-systems energy transparency.
Microprocess. Microsystems, 2016

An Energy-Aware Programming Approach for Mobile Application Development Guided by a Fine-Grained Energy Model.
CoRR, 2016

A Source-Level Energy Optimization Framework for Mobile Applications.
Proceedings of the 16th IEEE International Working Conference on Source Code Analysis and Manipulation, 2016

Fine-Grained Energy Modeling for the Source Code of a Mobile Application.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

2015
A Top-to-Bottom View: Energy Analysis for Mobile Application Source Code.
CoRR, 2015


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