Dike detection using active contour model. - Gang Wu 017; Véronique Prinet; Feng Wang 014; Songde Ma (IGARSS, 2003)

The Design and Implementation of Composite Collaborative Filtering Algorithm for Personalized Recommendation. - Liang Hu 001; Wenbo Wang 007; Feng Wang 014; Xiaolu Zhang; Kuo Zhao (J. Softw., 2012)

Application-oriented Network Performance Evaluation for the Internet of Things. - Xiaobo Yan; Feng Wang 014; Liang Hu 001; Kuo Zhao; Weiqing Xiong (Int. J. Online Biomed. Eng., 2013)

Research and Implementation of the Localization Algorithm Based on RSSI Technology. - Liang Hu 001; Bofeng Liu; Kuo Zhao; Xiangyu Meng; Feng Wang 014 (J. Networks, 2014)

PEMM: A Privacy-Aware Data Aggregation Solution for Mobile Sensing Networks. - Zhenzhen Xie; Liang Hu 001; Feng Wang 014; Jin Li; Kuo Zhao (ISICA, 2015)

Estimating online vacancies in real-time road traffic monitoring with traffic sensor data stream. - Feng Wang 014; Liang Hu 001; Dongdai Zhou; Rui Sun; Jiejun Hu; Kuo Zhao (Ad Hoc Networks, 2015)

Software Toolkits: Practical Aspects of the Internet of Things - A Survey. - Feng Wang 014; Liang Hu 001; Jin Zhou 012; Yang Wu; Jiejun Hu; Kuo Zhao (Int. J. Distributed Sens. Networks, 2015)

A Survey from the Perspective of Evolutionary Process in the Internet of Things. - Feng Wang 014; Liang Hu 001; Jin Zhou 012; Kuo Zhao (Int. J. Distributed Sens. Networks, 2015)

A Data Processing Middleware Based on SOA for the Internet of Things. - Feng Wang 014; Liang Hu 001; Jin Zhou 012; Kuo Zhao (J. Sensors, 2015)

A Stream Processing System for Multisource Heterogeneous Sensor Data. - Liang Hu 001; Rui Sun; Feng Wang 014; Xiuhong Fei; Kuo Zhao (J. Sensors, 2016)

Computer forensic analysis model for the reconstruction of chain of evidence of volatile memory data. - Feng Wang 014; Liang Hu 001; Jiejun Hu; Kuo Zhao (Multim. Tools Appl., 2016)

Semantic Preference-Based Personalized Recommendation on Heterogeneous Information Network. - Liang Hu 001; Yu Wang 152; Zhenzhen Xie; Feng Wang 014 (IEEE Access, 2017)

A semantics-based approach to multi-source heterogeneous information fusion in the internet of things. - Feng Wang 014; Liang Hu 001; Jin Zhou 012; Jiejun Hu; Kuo Zhao (Soft Comput., 2017)

Topology2Vec: Topology Representation Learning For Data Center Networking. - Zhenzhen Xie; Liang Hu 001; Kuo Zhao; Feng Wang 014; Junjie Pang (IEEE Access, 2018)

Feature selection by integrating two groups of feature evaluation criteria. - Wanfu Gao; Liang Hu 001; Ping Zhang 025; Feng Wang 014 (Expert Syst. Appl., 2018)

Feature selection considering two types of feature relevancy and feature interdependency. - Liang Hu 001; Wanfu Gao; Kuo Zhao; Ping Zhang 025; Feng Wang 014 (Expert Syst. Appl., 2018)

SRMCS: A semantic-aware recommendation framework for mobile crowd sensing. - Feng Wang 014; Liang Hu 001; Rui Sun; Jiejun Hu; Kuo Zhao (Inf. Sci., 2018)

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)

NLP-based digital forensic investigation platform for online communications. - Dongming Sun; Xiaolu Zhang; Kim-Kwang Raymond Choo; Liang Hu 001; Feng Wang 014 (Comput. Secur., 2021)

Fix the leaking tap: A survey of Trigger-Action Programming (TAP) security issues, detection techniques and solutions. - Xuyang Chen; Xiaolu Zhang; Michael Elliot; Xiaoyin Wang; Feng Wang 014 (Comput. Secur., 2022)

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 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)

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)

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)

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)

LLM4TAP: LLM-Enhanced TAP Rule Recommendation. - Gang Wu 017; Liang Hu 001; Yuxiao Hu; Xingbo Xiong; Feng Wang 014 (IEEE Internet Things J., 2025)