World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
26351
World Ranking
1257
National Ranking
169

Research.com Recognitions

  • 2018 - IEEE Fellow For advancements in database query processing

Overview

Xiaofang Zhou is affiliated with the Hong Kong University of Science and Technology in China. Their research contributions primarily span the field of computer science, with a substantial focus on artificial intelligence, computer vision and pattern recognition, signal processing, information systems, and computer networks and communications.

Their work addresses a variety of topics including data management and algorithms, advanced graph neural networks, recommender systems and techniques, topic modeling, human mobility and location-based analysis, traffic prediction and management techniques, and privacy-preserving technologies in data.

Frequent collaborators in Zhou's research include Wen Hua, Lei Li, Guanfeng Liu, Kai Zheng, and Mengxuan Zhang.

Common publication venues for Zhou's work comprise arXiv (Cornell University), IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, World Wide Web, and The VLDB Journal.

Some of the recent research papers authored or co-authored by Zhou include:

  • Unsupervised Feature Selection Using Nonnegative Spectral Analysis, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Advances in Oral Drug Delivery Systems: Challenges and Opportunities, 2023, Pharmaceutics
  • Overcoming Data Sparsity in Group Recommendation, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Thermodynamic and exergetic analysis of a novel multi-generation system based on SOFC, micro-gas turbine, s-CO2 and lithium bromide absorption refrigerator, 2022, Applied Thermal Engineering

Xiaofang Zhou was recognized as an IEEE Fellow in 2018 for advancements in database query processing.

Best Publications

  • Infrared Patch-Image Model for Small Target Detection in a Single Image

    Chenqiang Gao;Deyu Meng;Yi Yang;Yongtao Wang

  • L2,1-Norm Regularized Discriminative Feature Selection for Unsupervised

    Yi Yang;Heng Tao Shen;Zhigang Ma;Zi Huang

  • l 2,1 -norm regularized discriminative feature selection for unsupervised learning

    Yi Yang;Heng Tao Shen;Zhigang Ma;Zi Huang

  • Computing with Spatial Trajectories

    Yu Zheng;Xiaofang Zhou

  • Unsupervised feature selection using nonnegative spectral analysis

    Zechao Li;Yi Yang;Jing Liu;Xiaofang Zhou

  • Advances in Spatial and Temporal Databases

    Michael Gertz;Matthias Renz;Xiaofang Zhou;Erik Hoel

  • Graph contextualized self-attention network for session-based recommendation

    Chengfeng Xu;Pengpeng Zhao;Yanchi Liu;Victor S. Sheng

  • Discovery of convoys in trajectory databases

    Hoyoung Jeung;Man Lung Yiu;Xiaofang Zhou;Christian S. Jensen

  • Spark: top-k keyword query in relational databases

    Yi Luo;Xuemin Lin;Wei Wang;Xiaofang Zhou

  • Discovering popular routes from trajectories

    Zaiben Chen;Heng Tao Shen;Xiaofang Zhou

  • Online Discovery of Gathering Patterns over Trajectories

    Kai Zheng;Yu Zheng;Nicholas Jing Yuan;Shuo Shang

  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

    Pengpeng Zhao;Anjing Luo;Yanchi Liu;Fuzhen Zhuang

  • A Hybrid Prediction Model for Moving Objects

    Hoyoung Jeung;Qing Liu;Heng Tao Shen;Xiaofang Zhou

  • Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

    Zechao Li;Jing Liu;Yi Yang;Xiaofang Zhou

  • Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation

    Hongzhi Yin;Weiqing Wang;Hao Wang;Ling Chen

  • Reducing Uncertainty of Low-Sampling-Rate Trajectories

    Kai Zheng;Yu Zheng;Xing Xie;Xiaofang Zhou

  • Searching trajectories by locations: an efficiency study

    Zaiben Chen;Heng Tao Shen;Xiaofang Zhou;Yu Zheng

  • Feature-level Deeper Self-Attention Network for Sequential Recommendation

    Tingting Zhang;Pengpeng Zhao;Yanchi Liu;Victor S. Sheng

  • Adapting to User Interest Drift for POI Recommendation

    Hongzhi Yin;Xiaofang Zhou;Bin Cui;Hao Wang

  • Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

    Pengpeng Zhao;Haifeng Zhu;Yanchi Liu;Jiajie Xu

  • Proceedings of the 23rd ACM international conference on Multimedia

    Xiaofang Zhou;Alan F. Smeaton;Qi Tian;Dick C.A. Bulterman

Frequent Co-Authors

Kai Zheng
Kai Zheng University of Electronic Science and Technology of China
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Hongzhi Yin
Hongzhi Yin University of Queensland
Shazia Sadiq
Shazia Sadiq University of Queensland
Zi Huang
Zi Huang University of Queensland
Guanfeng Liu
Guanfeng Liu Macquarie University
An Liu
An Liu Soochow University
Yanchun Zhang
Yanchun Zhang Victoria University
Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Maria E. Orlowska
Maria E. Orlowska Polish-Japanese Institute of Information Technology

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