Panel 1

About Me

I am a Professional Teaching Fellow at the Auckland ICT Graduate School, the University of Auckland. I am currently the ICT Short Course manager at the school which provides business training courses in data analytics and machine learning.

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:

  • Mozilla
  • Orion Health
  • Precision Driven Health
  • AA Insurance
  • The Warehouse Group
  • Theta Consulting
  • Compucon
  • Olympic Software
  • Freighthub
  • BraveNewCoin
  • Fletcher Building
Panel 2

Publications

DBLP
Google Scholar

Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh: SLED: Semi-supervised Local-weighted Ensemble Detector. ICDE 2020. (accepted to appear)

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. 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. 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 | advising with supervisors Yun Sing Koh and Gill Dobbie
Vamsi Krishna Reddy Mannam – MSc (Research) | co-supervising with Yun Sing Koh
Sirui Lu – BSc (Hons) | co-supervising with Yun Sing Koh
Owen Meyer – MProfStuds | co-supervising with Joerg Wicker
Josh Bensemann – MProfStuds | co-superivsing with Joerg wicker
Francis Tang – BSc (Hons) | co-supervised with Yun Sing Koh
Masoumeh Shariat – MProfStuds | co-supervised with Joerg Wicker
Daniel Coats – BSc (Hons) | co-supervised with Gill Dobbie | Top BSc (Hons) of 2018
Josue Espinosa – CS 380 | co-supervised with Gill Dobbie

Internship Projects
Aravind Gopal – working at BraveNewCoin
Neha Yadav – working 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