Wuhan University of Technology School of Computer Science and Technology (School of Computer Science and Artificial Intelligence)
ORCID: 0000-0003-4530-588X
Research Interests
Multimedia Intelligence
Information Retrieval; Recommender Systems
Knowledge Engineering
Stream Data Mining
Time Series Databases
Multimedia Analysis
Professional Affiliations
- Associate Professor, School of Computer Science and Technology, Wuhan University of Technology
- Associate Editor of JIIL (Journal of Interactive and Intelligent Learning)
Academic Honors
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Professional Experience
2004-2008
BE in Information Science, University of Science and Technology of China (2004-2008)
BE in Information Science, University of Science and Technology of China (2004-2008)
2009-2013
PhD in Computer Science, The University of Queensland (2009-2013)
PhD in Computer Science, The University of Queensland (2009-2013)
2013-2015
Postdoctoral Research Fellow, King Abdullah University of Science and Technology (KAUST) (2013-2015)
Postdoctoral Research Fellow, King Abdullah University of Science and Technology (KAUST) (2013-2015)
2016
Associate Professor, Wuhan University of Technology (2016-present)
Associate Professor, Wuhan University of Technology (2016-present)
Biography
Dr. Qing Xie is an Associate Professor at the School of Computer Science and Technology (School of Computer Science and Artificial Intelligence), Wuhan University of Technology. He received his BE in Information Science from the University of Science and Technology of China in 2008, and his PhD in Computer Science from The University of Queensland, Australia, in 2013. He was a Postdoctoral Research Fellow at King Abdullah University of Science and Technology (KAUST) from 2013 to 2015. He joined Wuhan University of Technology in 2016. His research interests include multimedia intelligence, information retrieval, recommender systems, knowledge engineering, stream data mining, and time series databases. He has published over 60 papers with over 1,000 citations and an h-index of 13. He serves as Associate Editor of JIIL (Journal of Interactive and Intelligent Learning).
Awards & Recognition
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Publications & Representative Works
Complete Bibliography
2026
Sun, M., Xie, Q., & Huang, J.X. (2026). A Survey on Bundle Recommendation: Methods, Applications, and Challenges. ACM Computing Surveys, 58(11).
2026
Li, J., Xie, Q., Gu, R., Xu, J., Liu, Y., & Yu, X. (2026). LGD: Leveraging generative descriptions for zero-shot referring image segmentation. Pattern Recognition, 172, 112549.
2026
Hua, G., Xie, Q., Wang, Y., Li, L., Tang, M., & Liu, Y. (2026). Dual-state feature importance perception and adaptive interaction importance modeling for CTR prediction. Expert Systems with Applications, 297, 129268.
2025
Xie, Q., Zhang, X., & Timakum, T. (2025). Investigating the temporal dynamics of topic variation, consistency, and diversity in funding and funded papers: evidence from Chinese LIS projects. Scientometrics, 130(11), 6153-6189.
2025
Wang, Y., Xie, Q., Tang, M., Bao, Z., Li, L., & Liu, Y. (2025). Knowledge Memory Graph Convolution Network for cross-domain recommendation. Knowledge-Based Systems, 317, 113415.
2016
Xie, Q., Zhang, X., Li, Z., & Zhou, X. (2016). Optimizing Cost of Continuous Overlapping Queries over Data Streams by Filter Adaption. IEEE Transactions on Knowledge and Data Engineering, 28(5), 1218-1231.
2016
Xie, Q., Wang, S., Zhu, J., & Zhang, X. (2016). Modeling and Predicting AD Progression by Regression Analysis of Sequential Clinical Data. Neurocomputing, 195, 132-141.
2015
Zhu, J., Xie, Q., & Zheng, K. (2015). An improved early detection method of type-2 diabetes mellitus using multiple classifier system. Information Sciences, 292, 1-12.
2015
Zhu, J., Xie, Q., Yu, S.I., & Wong, W.H. (2015). Exploiting link structure for web page genre identification. Data Mining and Knowledge Discovery, 29(5), 1456-1480.
2014
Xie, Q., Pang, C., Zhou, X., Zhang, X., & Deng, K. (2014). Maximum error-bounded Piecewise Linear Representation for online stream approximation. VLDB Journal, 23(6), 915-937.
