Author Name Disambiguation in Heterogeneous Academic Networks. - Xiao Ma 002; Ranran Wang 001; Yin Zhang 002 (WISA, 2019)

Personalized Scientific Paper Recommendation Based on Heterogeneous Graph Representation. - Xiao Ma 002; Ranran Wang 001 (IEEE Access, 2019)

Heterogeneous Information Network-Based Content Caching in the Internet of Vehicles. - Yin Zhang 002; Ranran Wang 001; M. Shamim Hossain; Mohammed F. Alhamid; Mohsen Guizani (IEEE Trans. Veh. Technol., 2019)

Data Analytics for the COVID-19 Epidemic. - Ranran Wang 001; Gang Hu; Chi Jiang; Huimin Lu 001; Yin Zhang 002 (COMPSAC, 2020)

Heterogeneous information network-based music recommendation system in mobile networks. - Ranran Wang 001; Xiao Ma 002; Chi Jiang; Yi Ye; Yin Zhang 002 (Comput. Commun., 2020)

EEDVMI: Energy-Efficient Dynamic Virtual Machines Integration. - Yin Zhang 002; Haoyu Wen; Sheng Zhou; Zie Wang; Ranran Wang 001; Jianmin Lu (Mob. Networks Appl., 2020)

PSAC: Proactive Sequence-Aware Content Caching via Deep Learning at the Network Edge. - Yin Zhang 002; Yujie Li 001; Ranran Wang 001; Jianmin Lu; Xiao Ma 002; Meikang Qiu (IEEE Trans. Netw. Sci. Eng., 2020)

Multi-Aspect Aware Session-Based Recommendation for Intelligent Transportation Services. - Yin Zhang 002; Yujie Li 001; Ranran Wang 001; M. Shamim Hossain; Huimin Lu 001 (IEEE Trans. Intell. Transp. Syst., 2021)

Deep learning-based CSI feedback for IoT-oriented massive MIMO systems. - Binglei Yue; Chi Jiang; Ranran Wang 001; Haojiang Ye; Yin Zhang 002 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Time-Varying-Aware Network Traffic Prediction Via Deep Learning in IIoT. - Ranran Wang 001; Yin Zhang 002; Limei Peng; Giancarlo Fortino; Pin-Han Ho (IEEE Trans. Ind. Informatics, 2022)

Software Escalation Prediction Based on Deep Learning in the Cognitive Internet of Vehicles. - Ranran Wang 001; Yin Zhang 002; Giancarlo Fortino; Qingxu Guan; Jiangchuan Liu; Jeungeun Song 001 (IEEE Trans. Intell. Transp. Syst., 2022)

GNIDP: Gaussian-Noise-based Information Diffusion Prediction Model. - Yiran Wang; Yin Zhang 002; Ranran Wang 001; Zhaokang Zhang; Wenchao Wan (ICPADS, 2023)

Minimal Substitution-based Label Propagation for Anomalous Blockchain Detection. - Ranran Wang 001; Zhaokang Zhang; Yiran Wang; Yin Zhang 002 (MSN, 2023)

AI-Driven Proactive Content Caching for 6G. - Guangquan Cheng; Chi Jiang; Binglei Yue; Ranran Wang 001; Bander A. Alzahrani; Yin Zhang 002 (IEEE Wirel. Commun., 2023)

Predicting Multi-Scale Information Diffusion via Minimal Substitution Neural Networks. - Ranran Wang 001; Yin Zhang 002; Wenchao Wan; Xiong Li; Min Chen 003 (INFOCOM, 2024)

Anomaly Detection Service for Blockchain Transactions Using Minimal Substitution-Based Label Propagation. - Ranran Wang 001; Yin Zhang 002; Limei Peng (IEEE Trans. Serv. Comput., 2024)

Rumor Localization, Detection and Prediction in Social Network. - Yinan Jiang; Ranran Wang 001; Jianshan Sun; Yashen Wang; Haofang You; Yin Zhang 002 (IEEE Trans. Comput. Soc. Syst., 2024)

Diversity-Driven Proactive Caching for Mobile Networks. - Yin Zhang 002; Ranran Wang 001; Yiran Wang; Min Chen 003; Mohsen Guizani (IEEE Trans. Mob. Comput., 2024)

Distributed Rumor Source Detection via Boosted Federated Learning. - Ranran Wang 001; Yin Zhang 002; Wenchao Wan; Min Chen 003; Mohsen Guizani (IEEE Trans. Knowl. Data Eng., 2024)

Online Popularity Prediction Service via Minimal Substitution Reinforcement Learning for Social Networks. - Ranran Wang 001; Yin Zhang 002; Henning Meyerhenke; Zhiliang Feng; Sabita Maharjan; Yan Zhang 002 (IEEE Trans. Serv. Comput., 2025)

Multiscale Information Diffusion Prediction With Minimal Substitution Neural Network. - Ranran Wang 001; Xing Xu 001; Yin Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

IDCC: Influence-Driven Content Cache for NFC in IoE. - Ranran Wang 001; Yinming Shen; Wenchao Wan; Binglei Yue; Sai Wu; Yin Zhang 002 (IEEE Internet Things J., 2025)