Academic Profile : Faculty

Prof Cong Gao.JPG picture
Prof Cong Gao
Co-Director, Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU
Professor, School of Computer Science and Engineering
Courtesy Appointment, School of Physical & Mathematical Sciences (Courtesy Appointment)
External Links
 
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Highly Cited:
Cong, G., Jensen, C. S., & Wu, D. (2009). Efficient retrieval of the top-k most relevant spatial web objects. Proceedings of the VLDB Endowment, 2(1), 337-348.

Cao, X., Cong, G., & Jensen, C. S. (2010). Mining significant semantic locations from GPS data. Proceedings of the VLDB Endowment, 3(1-2), 1009-1020.

Chen, L., Cong, G., Jensen, C. S., & Wu, D. (2013). Spatial keyword query processing : an experimental evaluation. Proceedings of the VLDB Endowment, 6(3), 217-228.

Ma, Z., Sun, A., & Cong, G. (2013). On predicting the popularity of newly emerging hashtags in twitter. Journal of the American Society for Information Science and Technology, 64(7), 1399-1410.

Cao, X., Cong, G., & Jensen, C. S. (2010). Retrieving top-k prestige-based relevant spatial web objects. Proceedings of the VLDB Endowment, 3(1-2), 373-384.

Wu, D., Yiu, M. L., Cong, G., & Jensen, C. S. (2011). Joint top-k spatial keyword query processing. IEEE Transactions on Knowledge and Data Engineering, 24(10), 1889-1903.

Cao, X., Chen, L., Cong, G., & Xiao, X. (2012l). Keyword-aware optimal route search. Proceedings of the VLDB Endowment, 5(11), 1136-1147.

Wu, L., Xiao, X., Deng, D., Cong, G., Zhu, A. D., & Zhou, S. (2012). Shortest path and distance queries on road networks : an experimental evaluation. Proceedings of the VLDB Endowment, 5(5), 406-417.

Wu, D., Cong, G., & Jensen, C. S. (2012). A framework for efficient spatial web object retrieval. The VLDB Journal, 21(6), 797-822.

Liu, B., Cong, G., Zeng, Y., Xu, D., & Chee, Y. M. (2013). Influence spreading path and its application to the time constrained social influence maximization problem and beyond. IEEE Transactions on Knowledge and Data Engineering, 26(8), 1904-1917.

Click here for more publications.

Recent Publication:
Wang, G., Cong, G., Zhang, Y., Hai, Z., & Ye, J. (2021). A synopsis based approach for itemset frequency estimation over massive multi-transaction stream. ACM Transactions on Knowledge Discovery from Data (TKDD), 16(2), 1-30.

Luo, H., Bao, Z., Cong, G., Culpepper, J. S., & Khoa, N. L. D. (2021). Let trajectories speak out the traffic bottlenecks. ACM Transactions on Intelligent Systems and Technology (TIST), 13(1), 1-21.

Tedjopurnomo, D. A., Li, X., Bao, Z., Cong, G., Choudhury, F., & Qin, A. K. (2021). Similar trajectory search with spatiooral deep representation learning. ACM Transactions on Intelligent Systems and Technology, 12(6), 1–26.

Rugeles, D., Hai, Z., Dash, M., & Cong, G. (2020). Deterministic inference of topic models via maximal latent state replication. IEEE Transactions on Knowledge and Data Engineering, 34(4), 1684–1695.

Zhao, K., Cong, G., & Li, X. (2020). PGeoTopic : a distributed solution for mining geographical topic models. IEEE Transactions on Knowledge and Data Engineering, 34(2), 881–893.

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.

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, .
Conference Papers
(Not applicable to NIE
staff as info will be
pulled from PRDS)
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).

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.
 
Google Scholar
Web of Science
Scopus