Name: Weiyi Zhong
Affiliation: School of Computer Science, Qufu Normal University, China
Email: weiyizhong@qfnu.edu.cn,weiyizhong999@gmail.com
Weiyi Zhong, received the Ph.D. degree from the Department of Engineering, QuFu Normal University, China. Now, she is a lecturer of the School of Computer Science, Qufu Normal University, China. Her research interests include recommender systems and big data. She has published 12 research papers in international journals ( e.g.,APEN, COMCOM, TST ) and international conferences ( e.g.,ACM TURC), including 2 Best/Outstanding Paper Awards.
[INS] Weiyi Zhong, Wei Fang, Yifan Zhao, Sifeng Wang, Chao Yan, Rong Jiang, Maqbool Khan, Xuan Yang, Wajid Rafique, Ensuring privacy and correlation awareness in multi-dimensional service quality prediction and recommendation for IoT, Information Sciences, Volume 706, 2025, 122017, DOI:10.1016/j.ins.2025.122017. (SCI Q1,CCF-B, IF = 8.1, 第一作者).
[TST] Weiyi Zhong, Dengshuai Zhai, Ali Khalili Fakhrabadi, Hani Attar, Yan Yan, Rong Jiang, Sifeng Wang, Tsinghua Science and Technology, 2025, DOI: 10.26599/TST.2024.9010212. (SCI Q1, IF = 6.6, 第一作者)
[APEN] Weiyi Zhong, Dengshuai Zhai, Wenran Xu, Wenwen Gong, Chao Yan, Yang Zhang, Lianyong Qi*. Accurate and Efficient Daily Carbon Emission Forecasting based on Improved ARIMA. Applied Energy, 2024. (SCI Q1, IF = 10.1,第一作者).
[SCIS]Xiaolong Xu, Fan Wu, Muhammad Bilal, Xiaoyu Xia, Wanchun Dou*, Lina Yao, Weiyi Zhong. XRL-SHAP-Cache: An Explainable Reinforcement Learning Approach for Intelligent Edge Service Caching in Content Delivery Networks. Science China-Information Sciences, 2024. DOI: 10.1007/s11432-023-3987-y.(CCF-A,IF= 8.8)
[JPDC] Yuhao Hu, Xiaolong Xu, Muhammad Bilal, Weiyi Zhong, Yuwen Liu, Huaizhen Kou, Lingzhen Kong, Optimizing CNN inference speed over big social data through efficient model parallelism for sustainable web of things, Journal of Parallel and Distributed Computing, 2024: 104927. (SCI Q3).
[TCSS] Dengshuai Zhai, Chao Yan, Weiyi Zhong, Shaoqi Ding, Lianyong Qi, Xiaokang Zhou*. Counteracting Popularity Bias in Multimedia Web API Recommendation, IEEE Transactions on Computational Social Systems, 2025, DOI: 1-11.10.1109/TCSS.2024.3517601. (SCI Q2, IF =4.6 ).
[JPDC] Xiaolong Xu, Fan Wu, Muhammad Bilal, Xiaoyu Xia, Wanchun Dou, Lina Yao, Weiyi Zhong, XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks,SCIENCE CHINA-INFORMATION SCIENCES. 2024. (SCI Q1)
[TIST] Chao Yan, Weiyi Zhong, Dengshuai Zhai, Arif Ali Khan, WenwenGong, Yanwei Xu, Baogui Xin*, Popularity Bias in Correlation Graph based API Recommendation for Mashup Creation, ACM Transactions on Intelligent systems and technology,2024 (SCI Q4, IF = 5 ).
[TST] Jianye Xie, Yulan Zhang, Huaizhen Kou, Xiaoran Zhao, Zhikang Feng, Lekang Song, Weiyi Zhong*. A survey of the application of neural networks to event extraction.Tsinghua Science and Technology, 2024. (SCI Q1, IF = 6.6, 通讯作者).
[TST] Boyuan Yan, Yankun Zhang, Wenwen Gong, Haoyang Wan, Wenwei Wang, Caixia Bu,Weiyi Zhong*. MDGCN-Lt: Fair Web API Classification with Sparse and Heterogeneous Data based on Deep GCN. Tsinghua Science and Technology, 2024. (SCI Q1,IF = 6.6, 通讯作者).
[TST]Yuxuan Cao, Difei Zhang, Shaoqi Ding, Weiyi Zhong, Chao Yan*. A Hybrid Air Quality Prediction Model based on Empirical Mode Decomposition, Tsinghua Science and Technology, 2024. (SCI Q1, IF = 6.6).
[CCPE] Wang, Xudong, and Weiyi Zhong*. Evolution and innovations in animation: A comprehensive review and future directions. Concurrency and Computation: Practice and Experience: 2023.e7904. (SCI Q4, IF=2, 通讯作者)
[CSS] Bingchen Liu, Shihao Hou, Weiyi Zhong, Xiaoran Zhao, Yuwen Liu, Yihong Yang, Shijun Liu, Li, Pan. Enhancing Temporal Knowledge Graph Alignment in News Domain With Box Embedding, IEEE Transactions on Computational Social Systems. 1-11, 2023, DOI: 10.1109/TCSS.2023.3243240.(SCI Q2, IF=5)
[COMCOM] Weiyi Zhong, Xiaochun Yin, Xuyun Zhang, Shancang Li, Wanchun Dou, Ruili Wang, Lianyong Qi*. Multi-Dimensional Quality-Driven Service Recommendation with Privacy-Preservation in Mobile Edge Environment. Computer Communications, 157: 116-123, 2020. (CCF-C, SCI Q3, IF = 2.766, Best Research Paper Award, ESI Hot papers, ESI Highly cited papers).
[MIS] Bingchen Liu, Weiyi Zhong*, Jushi Xie, Lingzhen Kong, Yihong Yang, Chuang Lin, Hao Wang. Deep Learning for Mobile Crowdsourcing Techniques Methods and Challenges-A Survey. Mobile Information Systems, 2021: 11, 2021. (SCI Q4, IF=1.863).(通讯作者)
[TST] Chao Yan, Yankun Zhang, Weiyi Zhong, Haoyang Gao, Baogui Xin. A truncated SVD-based ARIMA model for multiple QoS prediction in mobile edge computing. Tsinghua Science and Technology.2021. 27(2): 315-324, (SCI Q3, IF=3.515).
[ACM TURC 2021]Yihong Yang, Xiaolong Xu, Lina Wang, Weiyi Zhong, Chao Yan, Lianyong Qi. Fast anomaly detection based on data stream in network intrusion detection system. ACM Turing Award Celebration Conference-China (ACM TURC 2021). 87-91, 2021.
[DSAA'20] Fan Wang, Weiyi Zhong, Xiaolong Xu, Wajid Rafique, Zhili Zhou, Lianyong Qi*. Privacy-aware Cold-Start Recommendation based on Collaborative Filtering and Enhanced Trust. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020. (CCF-C, Best Session Paper).