A Top-to-Bottom View: Energy Analysis for Mobile Application Source Code. - Xueliang Li 002; John P. Gallagher (CoRR, 2015)

Fine-Grained Energy Modeling for the Source Code of a Mobile Application. - Xueliang Li 002; John P. Gallagher (MobiQuitous, 2016)

A Source-Level Energy Optimization Framework for Mobile Applications. - Xueliang Li 002; John P. Gallagher (SCAM, 2016)

An Energy-Aware Programming Approach for Mobile Application Development Guided by a Fine-Grained Energy Model. - Xueliang Li 002; John P. Gallagher (CoRR, 2016)

ENTRA: Whole-systems energy transparency. - Kerstin Eder; John P. Gallagher; Pedro López-García 001; Henk L. Muller; Zorana Bankovic; Kyriakos Georgiou; Rémy Haemmerlé; Manuel V. Hermenegildo; Bishoksan Kafle; Steve Kerrison; Maja H. Kirkeby; Maximiliano Klemen; et al. (Microprocess. Microsystems, 2016)

Detecting and diagnosing energy issues for mobile applications. - Xueliang Li 002; Yuming Yang; Yepang Liu 001; John P. Gallagher; Kaishun Wu (ISSTA, 2020)

Using Psychophysics to Guide Power Adaptation for Input Methods on Mobile Architectures. - Xueliang Li 002; Shicong Hong; Junyang Chen 001; Guihai Yan; Kaishun Wu (HPCA, 2022)

Realizing Emotional Interactions to Learn User Experience and Guide Energy Optimization for Mobile Architectures. - Xueliang Li 002; Zhuobin Shi; Junyang Chen 001; Yepang Liu 001 (MICRO, 2022)

Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. - Junyang Chen 001; Zhiguo Gong; Wei Wang 077; Cong Wang 018; Zhenghua Xu 001; Jianming Lv; Xueliang Li 002; Kaishun Wu; Weiwen Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding. - Junyang Chen 001; Xueliang Li 002; Yuanman Li; Paul Li; Mengzhu Wang; Xiang Zhang 008; Zhiguo Gong; Kaishun Wu; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2022)

A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media. - Junyang Chen 001; Ge Fan; Zhiguo Gong; Xueliang Li 002; Victor C. M. Leung; Mengzhu Wang; Ming Yang (DASFAA (2), 2023)

Combatting Energy Issues for Mobile Applications. - Xueliang Li 002; Junyang Chen 001; Yepang Liu 001; Kaishun Wu; John P. Gallagher (ACM Trans. Softw. Eng. Methodol., 2023)

IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. - Junyang Chen 001; Mengzhu Wang; Haodi Zhang; Zhenghua Xu 001; Xueliang Li 002; Zhiguo Gong; Kaishun Wu; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2023)

Satisfying Energy-Efficiency Constraints for Mobile Systems. - Xueliang Li 002; Shicong Hong; Junyang Chen 001; Junkai Ji; Chengwen Luo 001; Guihai Yan; Zhibin Yu 001; Jianqiang Li 001 (IEEE Trans. Mob. Comput., 2024)

HilComp: Hilbert Curve-Based Balanced Clustering for 3D Gaussian Splatting Compression. - Yu Huang; Xiaowen Fu; Ling Ma; Zhengqi He; Jinbao Wang; Xueliang Li 002 (ICIC (18), 2025)

A Dual-Directional Context-Aware Test-Time Learning for Text Classification. - Dong Xu 023; MengYao Liao; Zhenglin Lai; Xueliang Li 002; Junkai Ji (ICIC (18), 2025)

CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media. - Junyang Chen 001; Jingcai Guo; Xueliang Li 002; Huan Wang 005; Zhenghua Xu 001; Zhiguo Gong; Liang-Jie Zhang; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2025)