World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
19121
World Ranking
1693
National Ranking
31

Overview

Gao Cong is affiliated with Nanyang Technological University in Singapore. Their research primarily spans the field of Computer Science with a strong focus on several subfields including Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Information Systems. The breadth of their research reflects a diversified interest in both theoretical and applied aspects of computing.

Their recent work covers a variety of topics, particularly in Data Management and Algorithms, Advanced Database Systems and Queries, Time Series Analysis and Forecasting, Human Mobility and Location-Based Analysis, Geographic Information Systems Studies, Traffic Prediction and Management Techniques, and Data Mining Algorithms and Applications.

Among the recent papers authored by Gao Cong are:

  • Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting, 2021, IEEE Transactions on Knowledge and Data Engineering
  • A Survey on Trajectory Data Management, Analytics, and Learning, 2021, ACM Computing Surveys
  • Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis, 2024, IEEE Transactions on Knowledge and Data Engineering
  • Cardinality Estimation in DBMS, 2021, Proceedings of the VLDB Endowment
  • QueryFormer, 2022, Proceedings of the VLDB Endowment

Gao Cong frequently collaborates with several co-authors, including Cheng Long, Zhifeng Bao, Xiucheng Li, Weiming Huang, and Yile Chen, who have co-authored multiple publications with them.

Their research has been published across various prominent venues such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 2022 International Conference on Management of Data

Best Publications

  • Time-aware point-of-interest recommendation

    Quan Yuan;Gao Cong;Zongyang Ma;Aixin Sun

  • Efficient retrieval of the top-k most relevant spatial web objects

    Gao Cong;Christian S. Jensen;Dingming Wu

  • Community-based greedy algorithm for mining top-K influential nodes in mobile social networks

    Yu Wang;Gao Cong;Guojie Song;Kunqing Xie

  • Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

    Shengnan Guo;Youfang Lin;Huaiyu Wan;Xiucheng Li

  • Global Context Enhanced Graph Neural Networks for Session-based Recommendation

    Ziyang Wang;Wei Wei;Gao Cong;Xiao-Li Li

  • Improving data quality: consistency and accuracy

    Gao Cong;Wenfei Fan;Floris Geerts;Xibei Jia

  • Mining significant semantic locations from GPS data

    Xin Cao;Gao Cong;Christian S. Jensen

  • Personalized ranking metric embedding for next new POI recommendation

    Shanshan Feng;Xutao Li;Yifeng Zeng;Gao Cong

  • Collective spatial keyword querying

    Xin Cao;Gao Cong;Christian S. Jensen;Beng Chin Ooi

  • Spatial keyword query processing: an experimental evaluation

    Lisi Chen;Gao Cong;Christian S. Jensen;Dingming Wu

  • Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation

    Xutao Li;Gao Cong;Xiao-Li Li;Tuan-Anh Nguyen Pham

  • On Predicting the Popularity of Newly Emerging Hashtags in Twitter

    Zongyang Ma;Aixin Sun;Gao Cong

  • Finding question-answer pairs from online forums

    Gao Cong;Long Wang;Chin-Yew Lin;Young-In Song

  • Simulated annealing based influence maximization in social networks

    Qingye Jiang;Guojie Song;Gao Cong;Yu Wang

  • Carpenter: finding closed patterns in long biological datasets

    Feng Pan;Gao Cong;Anthony K. H. Tung;Jiong Yang

  • An experimental evaluation of point-of-interest recommendation in location-based social networks

    Yiding Liu;Tuan-Anh Nguyen Pham;Gao Cong;Quan Yuan

  • Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences

    Quan Yuan;Gao Cong;Aixin Sun

  • Who, where, when and what: discover spatio-temporal topics for twitter users

    Quan Yuan;Gao Cong;Zongyang Ma;Aixin Sun

  • Deep Representation Learning for Trajectory Similarity Computation

    Xiucheng Li;Kaiqi Zhao;Gao Cong;Christian S. Jensen

  • Retrieving top-k prestige-based relevant spatial web objects

    Xin Cao;Gao Cong;Christian S. Jensen

  • POI2Vec: Geographical Latent Representation for Predicting Future Visitors

    Shanshan Feng;Gao Cong;Bo An;Yeow Meng Chee

Frequent Co-Authors

Christian S. Jensen
Christian S. Jensen Aalborg University
Quan Yuan
Quan Yuan Dow Chemical (United States)
Bin Cui
Bin Cui Peking University
Aixin Sun
Aixin Sun Nanyang Technological University
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Kian-Lee Tan
Kian-Lee Tan National University of Singapore
Wenfei Fan
Wenfei Fan University of Edinburgh
Anthony K. H. Tung
Anthony K. H. Tung National University of Singapore
Chin-Yew Lin
Chin-Yew Lin Microsoft Research Asia (China)
Shuai Ma
Shuai Ma Beihang University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online paths in computer science opens up diverse opportunities, especially for those balancing work or family commitments. Many students also look for universities for low gpa, making higher education accessible even if your academic history isn't perfect.

Aside from computer science, there are plenty of alternative fields and career possibilities. For instance, you might wonder, what can I do with an environmental science degree? Graduates often pursue roles in sustainability, research, policy, or education.

If quick advancement is your goal, consider computer science degree online options designed to fast-track your studies and prepare you for tech sector jobs faster.

Technical interests that intersect with environmental challenges are also growing. If affordability is essential, check out online environmental engineering degree programs, which combine technology with solving real-world environmental issues.

Best Scientists Citing Gao Cong

Trending Scientists