Alumni

University of Auckland:

[28] Hugo Phibbs

1. • CuFalconn: GPU-accelerated Approximate Nearest Neighbour Search using Locality Sensitive Filtering

   • Master of Science (2026)

[27] Hugo Phibbs

1. • CUDA-sDBSCAN: GPU Accelerated Density Based Clustering With Random Projections

   • Bachelor of Science (Honours) (2024)

   • Paper at ICDM 2026

[26] Jiarui Liu

1. • Thesis: Adaptive KNN Algorithm

   • Master of Data Science (2024)

[25] Haochuan Xu

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

   • Bachelor of Science (Honours) (2023)

   • Paper at NeurIPS 2024

[24] Shengjian Chen

1. • Thesis: Nearest Neighbor Search with GPU

   • Master of Professional Studies in Data Science (2023)

[23] Yaqi Yang

1. • Thesis: Travelling Surveyor

   • Master of Data Science (2023)

[22] Zhiying Dou

1. • Thesis: Risk Survey Benefits

   • Master of Professional Studies in Data Science (2023)

[21] Ting Xiang

1. • Thesis: Compact Segmentation Methods for Mobile Computer Vision

   • Master of Data Science (2023)

   • Paper at PSVIT 2023, Data science showcase 2023

[20] Wentao Shen

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

   • Master of Professional Studies in Data Science (2023)

[19] Linghan Zeng

1. • Thesis: Scale up Deep Learning with Random Projections

   • Master of Data Science (2023)

[18] Cadence Yifei Liu

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

   • Master of Data Science (2023)

[17] Jenny Son

1. • Thesis: Leveraging Geospatial Data for Windscreen Claims Factor Identification

   • Master of Professional Studies in Data Science (2022)

[16] Yuchen Wang

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

   • Master of Data Science (2022)

[15] Bill (Jiayi) Tian

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

   • Master of Data Science (2022)

[14] Tao Liu

1. • 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

1. • Thesis: Interpretable Consumer Clustering through Platform Interaction and Engagement

   • Master of Professional Studies in Data Science (2022)

[12] Rui Luo

1. • Thesis: Fuzzy Name Matching on Company Name via Cluster

   • Master of Data Science (2022)

[11] Songchen Jiang

1. • Thesis: Outlier Detection with Autoencoder Ensembles

   • Master of Professional Studies in Data Science (2021)

[10] Tianyang Zhao

1. • Thesis: Predict House Price with XGBoost

   • Master of Professional Studies in Data Science (2021)

[9] Ran Tao

1. • Thesis: Optimized Housing Price Prediction based on XGBoost

   • Master of Professional Studies in Data Science (2021)

[8] Jingjie Xie

1. • Thesis: Explainable Housing Prediction Model based on Machine Learning

   • Master of Professional Studies in Data Science (2021)

[7] Xinyu Yao

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

   • Master of Data Science (2021)

[6] Jingze Zheng

1. • Thesis: Local Outlier Ensemble with Locality-sensitive Hashing

   • Master of Science (2021)

[5] Kitty Li

1. • Thesis: Efficient and Interpretable Ensemble Methods for Outlier Detection

   • Master of Science (2021)

[4] Jeff Shi

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

   • Master of Professional Studies in Data Science (2021)

[3] Jhanger Gul

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

   • Master of Professional Studies in Data Science (2020)

University of Copenhagen:

[2] Yifang Deng

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

  • Master of Science in Computer Science (2018)

IT University of Copenhagen:

[1] Sorin Demofte

• • Thesis: Approximate nearest neighbors search in high dimensional spaces

  • Master of Science in Computer Science (2015)