Semantic Representation With Heterogeneous Information Network Using Matrix Factorization for Clustering in the Internet of Things. - Liang Hu 001; Yanlei Gong; Yongheng Xing; Feng Wang 014 (IEEE Access, 2019)

Nonnegative matrix tri-factorization with user similarity for clustering in point-of-interest. - Liang Hu 001; Yongheng Xing; Yanlei Gong; Kuo Zhao; Feng Wang 014 (Neurocomputing, 2019)

Things2Vec: Semantic Modeling in the Internet of Things With Graph Representation Learning. - Liang Hu 001; Gang Wu 017; Yongheng Xing; Feng Wang 014 (IEEE Internet Things J., 2020)

Nonnegative Matrix Factorization Based Heterogeneous Graph Embedding Method for Trigger-Action Programming in IoT. - Yongheng Xing; Liang Hu 001; Xiaolu Zhang; Gang Wu 017; Feng Wang 014 (IEEE Trans. Ind. Informatics, 2022)

A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation. - Xinjian Wang; Guoqing Xia; Jian Zhao 030; Jin Wang 042; Zaili Yang; Sean Loughney; Siming Fang; Shukai Zhang; Yongheng Xing; Zhengjiang Liu (Reliab. Eng. Syst. Saf., 2023)

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. - Xinqi Du; Hechang Chen; Yongheng Xing; Philip S. Yu; Lifang He 001 (Expert Syst. Appl., 2024)

A privacy-preserving federated graph learning framework for threat detection in IoT trigger-action programming. - Yongheng Xing; Liang Hu 001; Xinqi Du; Zhiqi Shen 001; Juncheng Hu; Feng Wang 014 (Expert Syst. Appl., 2024)

A data fusion framework based on heterogeneous information network embedding for trigger-action programming in IoT. - Gang Wu 017; Liang Hu 001; Xuelin Mao; Yongheng Xing; Feng Wang 014 (Expert Syst. Appl., 2024)

Robust multi-agent reinforcement learning via Bayesian distributional value estimation. - Xinqi Du; Hechang Chen; Che Wang; Yongheng Xing; Jielong Yang; Philip S. Yu; Yi Chang 001; Lifang He 001 (Pattern Recognit., 2024)

Threat Detection in Trigger-Action Programming Rules of Smart Home With Heterogeneous Information Network Model. - Dongming Sun; Liang Hu 001; Gang Wu 017; Yongheng Xing; Juncheng Hu; Feng Wang 014 (IEEE Internet Things J., 2024)

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. - Xinqi Du; Ziyue Li 002; Cheng Long 001; Yongheng Xing; Philip S. Yu; Hechang Chen (IEEE Trans. Knowl. Data Eng., 2024)

CCDF-TAP: A Context-Aware Conflict Detection Framework for IoT Trigger-Action Programming With Graph Neural Network. - Yongheng Xing; Liang Hu 001; Xinqi Du; Zhiqi Shen 001; Juncheng Hu; Feng Wang 014 (IEEE Internet Things J., 2024)

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning (Extended Abstract). - Xinqi Du; Ziyue Li 002; Cheng Long 001; Yongheng Xing; Philip S. Yu; Hechang Chen (ICDE, 2025)

User intention prediction for trigger-action programming rule using multi-view representation learning. - Gang Wu 017; Liang Hu 001; Yuxiao Hu; Yongheng Xing; Feng Wang 014 (Expert Syst. Appl., 2025)