Academic Profile

Gao CONG is currently a Professor in the School of Computer Science and Engineering, Nanyang Technological University (NTU). Before joining NTU, he was an Assistant professor in Aalborg University, Denmark (2008-2009). Before that, he worked as a researcher at the Microsoft Research Asia. From 2004 to 2006, He worked as a postdoc research fellow in the database group within the University of Edinburgh. He earned his Ph.D. in Computer Science from National University of Singapore in 2004.

His current research interests include database, data mining, text mining, and information retrieval. He is active in the Database and Data Mining research community. His work was published in premier database, data mining, information retrieval and natural language processing conferences, such as ACM SIGMOD, VLDB, ICDE, ACM KDD, WWW, ACM SIGIR, ACM CIKM, ACL, etc. He also served as a PC member for the aforementioned conferences.
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Prof Cong Gao
Co-Director, Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU
Professor, School of Computer Science and Engineering

Geospatial, Textual, and Mobility Data Management
Data Mining, Large Scale Data Analytics
Mining Social Networks and Social Media
User Preference Modeling and Recommendation
Urban Informatics
  • Artificial Intelligence Based Geological Modelling and Geo-data Management System for Virtual Singapore

  • Build a question answer knowledge base for health care workers and patients

  • Data Driven Human Preference Analytics For Urban Computing

  • Deep Learning for spatial-temporal data mining

  • Deep Trajectory Representation meets Big Trajectory Querying and Mining

  • Detecting and Tracking volcanic ash Using Social Media Data

  • Preserving Individual Privacy In Urban Informatics

  • Singtel-NTU Cognitive & Artificial Intelligence Joint Lab (Overhead)

  • Singtel-NTU Congnitive & Artifical Intelligence Joint Lab, Common Activities Account
  • Zhen Hai, Gao Cong, Kuiyu Chang, Peng Cheng, Chunyan Miao. (2017). Analyzing sentiments in One Go: A Supervised joint topic modeling approach. IEEE Transactions on Knowledge and Data Engineering, 29(6), 1172-1185.

  • Zongcheng Ji, Aixin Sun, Gao Cong, and Jialong Han. (2016). Joint Recognition and Linking of Fine-Grained Locations from Tweets. WWW 2016.

  • Zhen Hai, Gao Cong, Kuiyu Chang, Wenting Liu, Peng Cheng. (2014). Coarse-to-Fine Review Selection via Supervised Joint Aspect and Sentiment Model. The 37th Annual ACM SIGIR CONFERENCE (SIGIR 2014).

  • Zhen Hai, Kuiyu Chang, Gao Cong, Christopher C. Yang. (2014). An Association-based Unified Framework for Mining Features and Opinion Words. ACM Transactions on Intelligent Systems and Technology, .

  • Xin Cao, Gao Cong, Christian S. Jensen, Man Lung Yiu. (2014). Retrieving Regions of Interest for User Exploration. 40th International Conference on Very Large Data Bases.