Xueliang Li

According to our database, Xueliang Li authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Satisfying Energy-Efficiency Constraints for Mobile Systems.

Xueliang Li, Shicong Hong, Junyang Chen, Junkai Ji, Chengwen Luo, Guihai Yan, Zhibin Yu, Jianqiang Li

IEEE Trans. Mob. Comput., December, 2024

2023

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation.

Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung

IEEE Trans. Comput. Soc. Syst., October, 2023

Combatting Energy Issues for Mobile Applications.

Xueliang Li, Junyang Chen, Yepang Liu, Kaishun Wu, John P. Gallagher

ACM Trans. Softw. Eng. Methodol., January, 2023

A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media.

Junyang Chen, Ge Fan, Zhiguo Gong, Xueliang Li, Victor C. M. Leung, Mengzhu Wang, Ming Yang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding.

Junyang Chen, Xueliang Li, Yuanman Li, Paul Li, Mengzhu Wang, Xiang Zhang, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung

IEEE Trans. Netw. Sci. Eng., 2022

Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs.

Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile Architectures.

Xueliang Li, Zhuobin Shi, Junyang Chen, Yepang Liu

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Using Psychophysics to Guide Power Adaptation for Input Methods on Mobile Architectures.

Xueliang Li, Shicong Hong, Junyang Chen, Guihai Yan, Kaishun Wu

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2020

Detecting and diagnosing energy issues for mobile applications.

Xueliang Li, Yuming Yang, Yepang Liu, John P. Gallagher, Kaishun Wu

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2016

ENTRA: Whole-systems energy transparency.

Kerstin Eder, John P. Gallagher, Pedro López-García, Henk L. Muller, Zorana Bankovic, Kyriakos Georgiou, Rémy Haemmerlé, Manuel V. Hermenegildo, Bishoksan Kafle, Steve Kerrison, Maja H. Kirkeby, Maximiliano Klemen, Xueliang Li, Umer Liqat, Jeremy Morse, Morten Rhiger, Mads Rosendahl

Microprocess. Microsystems, 2016

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

Xueliang Li, John P. Gallagher

CoRR, 2016

A Source-Level Energy Optimization Framework for Mobile Applications.

Xueliang Li, John P. Gallagher

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.

Xueliang Li, John P. Gallagher

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.

Xueliang Li, John P. Gallagher

CoRR, 2015