Past Students

University of Auckland:

1. Haochuan Xu

   • Thesis: S-DBSCAN: A Scalable Density-based Clustering Algorithm with Random Projections

   • Bachelor of Science (Honours) (2023)

2. Shengjian Chen

   • Thesis: Nearest Neighbor Search with GPU

   • Master of Professional Studies in Data Science (2023)

3. Yaqi Yang

   • Thesis: Travelling Surveyor

   • Master of Data Science (2023)

4. Zhiying Dou

   • Thesis: Risk Survey Benefits

   • Master of Professional Studies in Data Science (2023)

5. Ting Xiang

   • Thesis: Compact Segmentation Methods for Mobile Computer Vision

   • Master of Data Science (2023)

   • Data science showcase 2023

6. Wentao Shen

   • Thesis: Exploring Locality Sensitive Hashing as a Novel Method for Deep Neural Networks 

   • Master of Professional Studies in Data Science (2023)

7. Linghan Zeng

   • Thesis: Scale up Deep Learning with Random Projections

   • Master of Data Science (2023)

8. Cadence Yifei Liu

   • Thesis: SARIMA and SARIMAX in the Cloud: Autonomous Financial Forecasting

   • Master of Data Science (2023)

9. Jenny Son

   • Thesis: Leveraging Geospatial Data for Windscreen Claims Factor Identification

   • Master of Professional Studies in Data Science (2022)

10. Yuchen Wang

    • Thesis: Scale Up Maximum Inner Product Search in High-dimensional Space

    • Master of Data Science (2022)

11. Bill (Jiayi) Tian

    • Thesis: St John - Using Machine Learning To Predict Patient Severity

    • Master of Data Science (2022)

12. Tao Liu

    • Thesis: A Novel Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search on Angular Distance

    • Master of Science (2022)

    • Spotlight paper at NeurIPS 2022, Best MSc thesis of School of CS 2022

13. Shengnan (Susan) Zheng

    • Thesis: Interpretable Consumer Clustering through Platform Interaction and Engagement

    • Master of Professional Studies in Data Science (2022)

14. Rui Luo

    • Thesis: Fuzzy Name Matching on Company Name via Cluster

    • Master of Data Science (2022)

15. Songchen Jiang

    • Thesis: Outlier Detection with Autoencoder Ensembles

    • Master of Professional Studies in Data Science (2021)

16. Tianyang Zhao

    • Thesis: Predict House Price with XGBoost

    • Master of Professional Studies in Data Science (2021)

17. Ran Tao

    • Thesis: Optimized Housing Price Prediction based on XGBoost

    • Master of Professional Studies in Data Science (2021)

18. Jingjie Xie

    • Thesis: Explainable Housing Prediction Model based on Machine Learning

    • Master of Professional Studies in Data Science (2021)

19. Xinyu Yao

    • Thesis: Towards Understanding Business via Their Key Performance Indicators: A Clustering Approach

    • Master of Data Science (2021)

20. Jingze Zheng

    • Thesis: Local Outlier Ensemble with Locality-sensitive Hashing

    • Master of Science (2021)

21. Kitty Li

    • Thesis: Efficient and Interpretable Ensemble Methods for Outlier Detection

    • Master of Science (2021)

22. Jeff Shi

    • Thesis: An Explainable, Accurate Personalised Recommendation System for e-Learning Platform

    • Master of Professional Studies in Data Science (2021)

23. Jhanger Gul

    • Thesis: From Prediction to Action with Random Forest for Housing Price Forecast

    • Master of Professional Studies in Data Science (2020)

University of Copenhagen:

• Yifang Deng

  • Thesis: GhostWriting Detection Using Textual Features on Danish High School Assignments

  • Master of Science in Computer Science (2018)

IT University of Copenhagen:

• Sorin Demofte

  • Thesis: Approximate nearest neighbors search in high dimensional spaces

  • Master of Science in Computer Science (2015)