Name：Yingyuan Xiao
Title：Professor
Type of tutor：Doctoral supervisor, master's supervisor
Email：yyxiao@tjut.edu.cn
Address：23-E507
Telephone：86-022-60216865
I am currently a professor and doctoral supervisor at School of Computer Science and Engineering, Tianjin University of Technology, P. R. China. In 2005, I received a Ph.D. from Huazhong University of Science and Technology,Wuhan, P. R. China. From March 2009 to April 2010, I was a visiting scholar at the School of Computing, National University of Singapore. I has authored more than 200 scientific articles in international conferences and journals including IEEE TNNLS, IEEE TCSS, IEEE TC, IEEE TPDS, ACM TKDD, WWW etc. My research interests include personalized recommendation systems, machine learning, big data analysis and mining, and advanced databases.
Personalized recommendation systems
Machine learning
Big data analysis and mining
Advanced databases
1. "Research on Location-Related Skyline Query Problems in Wireless Data Broadcasting Environments", National Natural Science Foundation of China，Principal Investigator, 2012-01 ~ 2015.12.
2. "Research Team of Personalized Recommendation System of Tianjin University of Technology", The Key Project + Team Specialization Training Program of Tianjin , Principal Investigator, 2021-04 ~ 2024-03.
3. "Research on Participation Behavior in Internet Product Crowdfunding Based on Big Data Technology", Major Research Program of the National Natural Science Foundation of China, Participant, 2017-01 ~ 2019-12.
4. "Location Service System Supporting Complex Queries in Mobile Computing Environments", Tianjin Natural Science Foundation, Principal Investigator, 2017-04 ~ 2020-03.
5. "Personalized Learning System Based on Multi-dimensional Recommendation Service", Tianjin Science and Technology Commissioner Project, Principal Investigator, 2016-10 ~ 2017-09.
6. "Research on Spatio-Temporal Aggregation Query Processing Methods in Mobile Location Services", Tianjin Natural Science Foundation, Principal Investigator, 2011-10 ~ 2014-09.
7. "Research on Key Technologies of Fault Recovery for Embedded Real-time Databases in Mobile Computing Environments", Tianjin Natural Science Foundation, Principal Investigator, 2008-04 ~ 2011-03.
[1] Kun Hu, Yingyuan Xiao*, Wenguang Zheng, Wenxin Zhu, Ching-Hsien Hsu. Multiview Large Margin Distribution Machine. IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(2): 2395-2409.
[2] Xing Zhang, Xu Cheng*, Yingyuan Xiao*, Wenguang Zheng. Advancing Multibehavior Recommendation With Dual-Mode Augmented Contrastive Learning. IEEE Transactions on Computational Social Systems, 2025, 12(5): 3116-3130.
[3] Xing Zhang, Xu Cheng*, Likang Wu, Qingbo Hao, Yingyuan Xiao*, Wenguang Zheng. Dynamic dependency-aware collaborative contrastive learning for multi-behavior recommendation. ACM Transactions on Knowledge Discovery from Data, 2026. https://doi.org/10.1145/3788878.
[4] Jiale Wang, Yingyuan Xiao*, Likang Wu, Xu Cheng, Wenguang Zheng, Qingbo Hao, et al. Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation. In: Proceedings of the ACM Web Conference 2026 (WWW 2026), 2026, pp. 1-11.
[5] Cairui Yan, Xu Cheng, Likang Wu, Yingyuan Xiao*, Hongke Zhao, Wenguang Zheng. Bridging the gap in cross-domain graph anomaly detection: Enhanced source utilization and label accuracy. Information Processing and Management, 2026, 63(5): 104678.
[6] Peilin Yang, Yingyuan Xiao*, Wenguang Zheng, Yanli Liu, Ching-Hsien Hsu. A graph attention network with contrastive learning for temporal review-based recommendations. Applied Soft Computing, 2024, 159: 111652.
[7] Yingyuan Xiao*, Chichang Liu, Wenguang Zheng, Hongya Wang, Ching-Hsien Hsu. A feature interaction learning approach for crowdfunding project recommendation. Applied Soft Computing, 2021, 112 (11): 1-8.
[8] Xu Jiao, Yingyuan Xiao*, Wenguang Zheng, Hongya Wang. R2SIGTP: a novel real-time recommendation system with integration of geography and temporal preference for next Point-of-Interest. In: Proceedings of the Web Conference 2019 (WWW 2019), 2019, pp. 3560-3563.
[9] Xu Jiao, Yingyuan Xiao*, Wenguang Zheng, Hongya Wang, Ching-Hsien Hsu. A novel next new point-of-interest recommendation system based on simulated user travel decision-making process. Future Generation Computer Systems, 2019, Volume 100, pp. 982-993.
[10] Yingyuan Xiao*, Pengqiang Ai, Ching-Hsien Hsu, Hongya Wang. Time-ordered collaborative filtering for news recommendation. China Communications, 2015, 12(12): 53-62.
[11] Hongya Wang, Yingyuan Xiao, LihChyun Shu. Scheduling Periodic Continuous Queries in Real-Time Data Broadcast Environments. IEEE Transactions on Computers, 2012, 61(9): 1325-1340.
[12] Ying-Yuan Xiao*, Yue-Guo Chen. Efficient Distributed Skyline Queries for Mobile Applications. Journal of Computer Science and Technology, 2010, 25(3): 523-536.
Database System
Database System Course Design
1. Executive Committee Member of the Database Special Committee of the China Computer Federation
2. Tianjin Science and Technology Progress Award - Second Prize: "Seamless Nomadic Active Service Strategy (with System) and Its Application in Mobile Environment", 2017.
3. Tianjin Science and Technology Progress Award - Third Prize: "Research on Key Technologies for Fault Recovery of Embedded Real-time Database in Mobile Computing Environment", 2016.
4. Tianjin Science and Technology Progress Award - Third Prize: "Active Attentive Seamless Nomadic Service System", 2012.
5. Tianjin Science and Technology Progress Award - Second Prize: "Active Intrusion Prevention System", 2011.
