David Tse Jung Huang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 9

Top Topics

Top Venues

Publications

Joshua Bensemann, Hasnain Cheena, David Tse Jung Huang, Elizabeth Broadbent, Jonathan Williams, Jörg Wicker
From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath. IEEE Trans. Affect. Comput. 15 (2) (2024)
Jiaxing Xu, Yunhan Yang, David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, Eryn Kwon
Data-Driven Network Neuroscience: On Data Collection and Benchmark. NeurIPS (2023)
David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Yunhan Yang
Data-Driven Network Neuroscience: On Data Collection and Benchmark. CoRR (2022)
Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh
SLED: Semi-supervised Locally-weighted Ensemble Detector. ICDE (2020)
Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger
Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. PRICAI (2) (2019)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle. AusDM (2018)
Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie
Volatility Drift Prediction for Transactional Data Streams. ICDM (2018)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet
Drift Detection Using Stream Volatility. ECML/PKDD (1) (2015)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants. Trans. Large Scale Data Knowl. Centered Syst. 21 (2015)
Timothy D. Robinson, David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Drift Detector for Memory-Constrained Environments. DaWaK (2014)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
Detecting Changes in Rare Patterns from Data Streams. PAKDD (2) (2014)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
Detecting Volatility Shift in Data Streams. ICDM (2014)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears
Tracking Drift Types in Changing Data Streams. ADMA (1) (2013)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Rare Pattern Mining on Data Streams. DaWaK (2012)
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 (2012)