Kaiqi ZHAO

LECTURER (Assistant Professor)

Office
Science Centre, Building 303, Level 4, Room 492
School of Computer Science
38 Princes Street, Auckland 1010
E-mail
kaiqi.zhao[at]auckland.ac.nz
Profiles

Biography

  • 2019 - now:  Lecturer (Assistant Professor), School of Computer Science, University of Auckland.
  • 2018 - 2019: Research Fellow, Singtel Cognitive and Aritificial Intelligence Lab for Enterprise, NTU.
  • 2013 - 2018: Ph.D. in Computer Science, School of Computer Science & Engineering, Nanyang Technological University. Supervisor: Dr. Gao CONG.
  • 2011 - 2012: Intern, Web Search & Mining Group, Microsoft Research Asia. Mentor: Dr. Haixun Wang.
  • 2010 - 2013: M.Eng. in Computer Engineering, Department of Computer Science, Shanghai Jiao Tong University. Supervisor: Dr. Kenny Q. Zhu.
  • 2007 - 2009: B.A. in Japanese Language, School of Foreign Languages, Huazhong University of Science and Technology.
  • 2005 - 2009: B.Eng. in Software Engineering, School of Software Engineering, Huazhong University of Science and Technology.

Research

Research Interests
  • Spatio-temporal data mining
  • Mining social media
  • Text mining and knowledge discovery

Research Projects

Current project:
  • Spatio-temporal graph mining for traffic prediction
  • Mining time-aware traveling patterns for trajectory analysis
Past projects:
  • 2013 - 2018: Mining geographical topics and its applications
  • 2013: Entity linking using concept level co-occurrence
  • 2011 - 2013: Clustering web images by disambiguation
  • 2011 - 2013: Action conceptualization

Teaching

  • Algorithms for Massive Data (COMPSCI753), Instructor, 2020 S2, UoA
  • Data-mining and Machine Learning (COMPSCI760), Instructor, 2020 S2, UoA
  • Artificial Intelligence (COMPSCI367), Instructor, 2020 S1, UoA-SWU
  • Data-mining and Machine Learning (COMPSCI760), Instructor, 2019 S2, UoA
  • Machine Learning (COMPSCI361), Guest Lecturer, 2019 S2, UoA
  • Introduction to Database (CZ2007), Teaching Assistant, Fall 2016, NTU
  • Database System Principles (CZ4031), Teaching Assistant, Fall 2015, NTU
  • Windows Internals (CS490), Teaching Assistant, Fall 2010, SJTU

Publications

  1. PGeoTopic: A Distributed Solution for Mining Geographical Topic Models
    Kaiqi Zhao, Gao Cong, Xiucheng Li
    TKDE, 2020
  2. A Novel Model for Imbalanced Data Classification
    Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang
    AAAI, 2020
  3. Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling [pdf][codes]
    Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
    ICDE, 2020
  4. Knowledge-Enhanced Ensemble Learning for Word Embeddings [codes]
    Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
    WWW, 2019
  5. Exploring Market Competition over Topics in Spatio-Temporal Document Collections
    Kaiqi Zhao,  Gao Cong, Jin-Yao Chin, Rong Wen.
    VLDB Journal, 2019
  6. Efficient Similar Region Search with Deep Metric Learning [pdf]
    Yiding Liu, Kaiqi Zhao, Gao Cong.
    SIGKDD, 2018
  7. ANR: Aspect-based Neural Recommender [pdf]
    Jin-Yao Chin, Kaiqi Zhao, Shafiq Joty, Gao Cong.
    CIKM, 2018
  8. Deep Representation Learning for Trajectory Similarity Computation [pdf][codes]
    Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei.
    ICDE, 2018
  9. Biclustering: An application of Dual Topic Models 
    Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali  Krishnaswamy.
    SDM, 2017
  10. Annotating Points of Interest with Geo-tagged Tweets [pdf]
    Kaiqi Zhao, Gao Cong, Aixin Sun.
    CIKM, 2016
  11. Towards Personalized Maps: Mining User Preferences from Geo-textual Data (Demo paper) [pdf]
    Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong.
    VLDB, 2016
  12. A System for Region Search and Exploration (Demo paper) [pdf]
    Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong.
    VLDB, 2016
  13. Topic Exploration in Spatio-Temporal Document Collections 
    Kaiqi Zhao, Lisi Chen, Gao Cong.
    SIGMOD, 2016
  14. Querying and mining geo-textual data for exploration: Challenges and opportunities
    Gao Cong, Kaiyu Feng, Kaiqi Zhao.
    ICDE Workshops, 2016
  15. Representing Verbs as Argument Concepts [pdf]
    Yu Gong, Kaiqi Zhao, Kenny Q. Zhu.
    AAAI, 2016
  16. Who, where, when and what: a nonparametric bayesian approach to context-aware recommendation and search for twitter users
    Quan Yuan, Gao Cong, Kaiqi Zhao, Zongyang Ma, Aixin Sun.
    TOIS, 2015
  17. SAR: A Sentiment-Aspect-Region Model for User Preference Analysis in Geo-tagged Reviews [pdf]
    Kaiqi Zhao, Gao Cong, Quan Yuan, Kenny Q. Zhu.
    ICDE, 2015
  18. Clustering Image Search Results by Entity Disambiguation
    Kaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu.
    ECML/PKDD, 2014
  19. Wikification via link co-occurrence
    Zhiyuan Cai, Kaiqi Zhao, Kenny Q. Zhu, Haixun Wang.
    CIKM, 2013
  20. CISC: Clustered Image Search by Conceptualization (Demo paper)
    Kaiqi Zhao, Enxun Wei, Qingyu Sui, Kenny Q. Zhu, Eric Lo.
    EDBT, 2013

Awards

Recent Awards
  • 2016 - Student Travel Award, SIGMOD 2016
  • 2015 - Student Travel Award, ICDE 2015
  • 2013 - Ph.D. Scholarship, Nanyang Technological University

Past Awards

2006:
  • 1st Prize Scholarship, Huazhong University of Science and Technology
  • Excellent Leadership in Student Union, Huazhong University of Science and Technology
  • Freshmen Scholarship, Huazhong University of Science and Technology

This page was last modified on 18 April, 2020.