David Tse Jung Huang

According to our database, David Tse Jung Huang authored at least 14 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Data-Driven Network Neuroscience: On Data Collection and Benchmark.

Jiaxing Xu, Yunhan Yang, David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Josh McGeown, Eryn Kwon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Data-Driven Network Neuroscience: On Data Collection and Benchmark.

David Tse Jung Huang, Sophi Shilpa Gururajapathy, Yiping Ke, Miao Qiao, Alan Wang, Haribalan Kumar, Yunhan Yang

CoRR, 2022

2020

SLED: Semi-supervised Locally-weighted Ensemble Detector.

Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams.

Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018

Volatility Drift Prediction for Transactional Data Streams.

Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie

Proceedings of the IEEE International Conference on Data Mining, 2018

Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2015

Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie

Trans. Large Scale Data Knowl. Centered Syst., 2015

Drift Detection Using Stream Volatility.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

Detecting Changes in Rare Patterns from Data Streams.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Detecting Volatility Shift in Data Streams.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Drift Detector for Memory-Constrained Environments.

Timothy D. Robinson, David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

2013

Tracking Drift Types in Changing Data Streams.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears

Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

2012

Rare Pattern Mining on Data Streams.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie

Proceedings of the Data Warehousing and Knowledge Discovery, 2012

Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support.

David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012