Panel 1

About Me

I have worked as a Senior Research Fellow at the University of Auckland working on the Advanced Graph Analytics for Human Brain Connectivity project funded by MBIE. Prior to this I was a Professional Teaching Fellow at the Auckland ICT Graduate School, the University of Auckland. At the time, I was the ICT Short Course manager at the school which provides business training courses in data analytics and machine learning. I was also teaching Machine Learning and Cloud Computing.

My research focuses on data mining, machine learning, data stream mining, change mining, and artificial intelligence.

Companies I have worked with or have supervised students that worked there:

  • AWS
  • Mozilla
  • Waikato DHB
  • Orion Health
  • Precision Driven Health
  • AA Insurance
  • The Warehouse Group
  • Theta Consulting
  • Compucon
  • Olympic Software
  • Freighthub
  • Brave New Coin
  • Fletcher Building
Panel 2

Publications

DBLP
Google Scholar

Mark Ashburner, Koki Mugabe, Yathu Mohanathas, Ahmad Umar, David Huang, Gill Dobbie: Using a Novel Change Detection Algorithm to Predict Daily Linear Accelerator Output Changes in a Radiation Department. 2021.

Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh: SLED: Semi-supervised Local-weighted Ensemble Detector. IEEE ICDE 2020: 1838-1841

Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger:
Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. PRICAI (2) 2019: 419-430

Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie:
Volatility Drift Prediction for Transactional Data Streams. IEEE ICDM 2018: 1091-1096

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie:
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle. AusDM Industry Track 2018: 318-330

David Tse Jung Huang and Gillian Dobbie: Precision Driven Health Context Review Report. Online. Link: precision-driven-health-context-review-report

David Tse Jung Huang: Change Mining and Analysis for Data Streams. Thesis. URL: http://hdl.handle.net/2292/27746

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie: Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants. TLDKS (21): 140-160

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet: Drift Detection using Stream Volatility. ECML/PKDD (1): 417-432

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears: Detecting Volatility Shift in Data Streams. IEEE ICDM: 863-868

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears: Detecting Changes in Rare Patterns from Data Streams. PAKDD (2): 437-448

Timothy D. Robinson, David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie: Drift Detector for MemoryConstrained Environments. DaWaK: 414-425

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears: Tracking Drift Types in Changing Data Streams. ADMA (1): 72-83

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears: Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support. Australasian Conference on Artificial Intelligence: 614-625

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie: Rare Pattern Mining on Data Streams. DaWaK: 303-314

Panel 3

Supervision

Research Projects
Shuxiang Zhang – PhD | co-supervised with Yun Sing Koh, Gill Dobbie, and Thomas Lacombe

Owen Meyer – MProfStuds | co-supervised with Joerg Wicker
Josh Bensemann – MProfStuds | co-supervised with Joerg wicker
Masoumeh Shariat – MProfStuds | co-supervised with Joerg Wicker

Francis Tang – BSc (Hons) | co-supervised with Yun Sing Koh
Daniel Coats – BSc (Hons) | co-supervised with Gill Dobbie | Top BSc (Hons) of 2018
Sirui Lu – BSc (Hons) | co-supervised with Yun Sing Koh

Ahmad and Yathu | Software Engineering Part 4 Project | co-supervised with Gill Dobbie
Hana and Max | Software Engineering Part 4 Project | advised with Miao Qiao and Yun Sing Koh

Milan Law | Summer Research | co-supervised with Joerg Wicker
Shaoyu Wang | Summer Research Scholarship | co-supervised with Yun Sing Koh
Timothy Robinson | Summer Research Scholarship | co-supervised with Yun Sing Koh
Scott Murray | Summer Research Scholarship | co-supervised with Yun Sing Koh

Josue Espinosa – CS 380 | co-supervised with Gill Dobbie

Internship Projects
Kai Yin Vincent Lee – worked at Connect
Shiwei David Zhai – worked at Connect
Shashank Sahoo – worked at BraveNewCoin
Pei Jiang – worked for International Collegiate Programming Contest
Yipeng Liu – worked for International Collegiate Programming Contest
Aravind Gopal – worked at BraveNewCoin
Neha Yadav – worked at Fletcher Building
Mingshuang Wu – worked at Compucon
Tingyu Zhang – worked at Compucon
Mingxuan Liu – worked at UoA ITS
Wilson Wu – worked at Freighthub
Xin Chen – worked at UoA ITS
Gautam Kumar – worked at The Warehouse Group
Yueyuan Tan – worked at Compucon
Rose McColl – worked at Theta | Callaghan Careers Grant | Top MIT of 2017
Alisha Thakker – worked at Theta
Madhura Santhapadavu – worked at UoA
Akshar Vijay – worked at UoA

Panel 4

Contact

Dr David Tse Jung Huang
School of Computer Science
The University of Auckland
Private Bag 92019
Auckland 1142
New Zealand

Email
dtj dot huang at auckland.ac.nz