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Employment (1)

The University of Auckland: Auckland, NZ

Senior Lecturer (School of Computer Science)
Employment
Source: Self-asserted source
Kaiqi Zhao

Education and qualifications (1)

Nanyang Technological University: Singapore, Singapore, SG

2013-08 to 2018-05 | PhD (School of Computer Science and Engineering)
Education
Source: Self-asserted source
Kaiqi Zhao

Works (17)

Exploring market competition over topics in spatio-temporal document collections

VLDB J.
2019 | Journal article
Source: Self-asserted source
Kaiqi Zhao

ANR: Aspect-based Neural Recommender

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
2018 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Deep Representation Learning for Trajectory Similarity Computation

34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018
2018 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Efficient Similar Region Search with Deep Metric Learning

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018
2018 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Spatiotemporal Topic Detection from Social Media

Encyclopedia of Social Network Analysis and Mining, 2nd Edition
2018 | Book chapter
Source: Self-asserted source
Kaiqi Zhao

Biclustering: An application of Dual Topic Models

Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017.
2017 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

A System for Region Search and Exploration

PVLDB
2016 | Journal article
Source: Self-asserted source
Kaiqi Zhao

Annotating Points of Interest with Geo-tagged Tweets

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016
2016 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Querying and mining geo-textual data for exploration: Challenges and opportunities

32nd IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2016, Helsinki, Finland, May 16-20, 2016
2016 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Representing Verbs as Argument Concepts

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA.
2016 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Topic Exploration in Spatio-Temporal Document Collections

Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016
2016 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Towards Personalized Maps: Mining User Preferences from Geo-textual Data

PVLDB
2016 | Journal article
Source: Self-asserted source
Kaiqi Zhao

SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews

31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015
2015 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Who, Where, When, and What: A Nonparametric Bayesian Approach to Context-aware Recommendation and Search for Twitter Users

ACM Trans. Inf. Syst.
2015 | Journal article
Source: Self-asserted source
Kaiqi Zhao

Clustering Image Search Results by Entity Disambiguation

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III
2014 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

CISC: clustered image search by conceptualization

Joint 2013 EDBT/ICDT Conferences, EDBT '13 Proceedings, Genoa, Italy, March 18-22, 2013
2013 | Conference paper
Source: Self-asserted source
Kaiqi Zhao

Wikification via link co-occurrence

22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013
2013 | Conference paper
Source: Self-asserted source
Kaiqi Zhao