Chang Wei Tan

40 papers A* 2A 3Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
MONSTER: Monash Scalable Time Series Evaluation Repository.
CoRR
Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb
2025 J jnl
MONSTER: Monash Scalable Time Series Evaluation Repository.
J. Data-centric Mach. Learn. Res.
Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb
2025 J jnl
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series.
Data Min. Knowl. Discov.
Chang Wei Tan, Matthieu Herrmann, Mahsa Salehi, Geoffrey I. Webb
2025 — conf
Taming the Real-world Complexities in CPT E/M Coding with Large Language Models.
EMNLP (Industry Track)
Islam Nassar, Yang Lin, Yuan Jin, Rongxin Zhu, Chang Wei Tan, Zenan Zhai, Nitika Mathur, Thanh Tien Vu, Xu Zhong, Long Duong, Yuan-Fang Li
2025 J jnl
Taming the Real-world Complexities in CPT E/M Coding with Large Language Models.
CoRR
Islam Nassar, Xiang-Yang Li, Yuan Jin, Rongxin Zhu, Chang Wei Tan, Zenan Zhai, Nitika Mathur, Thanh Tien Vu, Xu Zhong, Long Duong, Yuan-Fang Li
2024 A* conf
A Hands-on Introduction to Time Series Classification and Regression.
KDD
Anthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
2024 J jnl
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.
ACM Comput. Surv.
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2024 — conf
Highly Scalable Time Series Classification for Very Large Datasets.
AALTD@ECML/PKDD
Angus Dempster, Chang Wei Tan, Lynn Miller, Navid Mohammadi Foumani, Daniel F. Schmidt, Geoffrey I. Webb
2024 J jnl
Improving position encoding of transformers for multivariate time series classification.
Data Min. Knowl. Discov.
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
2024 — conf
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations.
ACL (Short Papers)
Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haffari, Wray L. Buntine
2024 J jnl
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations.
CoRR
Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Gholamreza Haffari, Wray L. Buntine
2024 J jnl
Series2vec: similarity-based self-supervised representation learning for time series classification.
Data Min. Knowl. Discov.
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
2024 — ed.
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7-10, 2024, Proceedings
PAKDD (Workshops)
Zhaoxia Wang, Chang Wei Tan
2023 J jnl
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR
Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb
2023 J jnl
Automated Interictal Epileptiform Discharge Detection from Scalp EEG Using Scalable Time-series Classification Approaches.
Int. J. Neural Syst.
D. Nhu, M. Janmohamed, L. Shakhatreh, O. Gonen, Piero Perucca, A. Gilligan, Patrick Kwan, Terence J. O'Brien, Chang Wei Tan, Levin Kuhlmann
2023 J jnl
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.
CoRR
Seyed Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2023 J jnl
Improving Position Encoding of Transformers for Multivariate Time Series Classification.
CoRR
Seyed Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi
2023 J jnl
Parameterizing the cost function of Dynamic Time Warping with application to time series classification.
CoRR
Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
2023 J jnl
Parameterizing the cost function of dynamic time warping with application to time series classification.
Data Min. Knowl. Discov.
Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb
2023 J jnl
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series.
CoRR
Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb
2023 J jnl
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification.
CoRR
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
2023 J jnl
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification.
Knowl. Inf. Syst.
Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb
2022 J jnl
FRANS: Automatic Feature Extraction for Time Series Forecasting.
CoRR
Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir
2022 J jnl
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification.
Data Min. Knowl. Discov.
Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
2021 J jnl
Classification of multivariate weakly-labelled time-series with attention.
CoRR
Surayez Rahman, Chang Wei Tan
2021 — conf
Disjoint-CNN for Multivariate Time Series Classification.
ICDM (Workshops)
Seyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi
2021 J jnl
MultiRocket: Effective summary statistics for convolutional outputs in time series classification.
CoRR
Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
2021 J jnl
Time series extrinsic regression.
Data Min. Knowl. Discov.
Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2021 A* conf
Ultra fast warping window optimization for Dynamic Time Warping.
ICDM
Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb
2020 J jnl
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network.
CoRR
Chang Wei Tan, Mahsa Salehi, Geoffrey Mackellar
2020 J jnl
FastEE: Fast Ensembles of Elastic Distances for time series classification.
Data Min. Knowl. Discov.
Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2020 J jnl
Monash University, UEA, UCR Time Series Regression Archive.
CoRR
Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2020 J jnl
Time Series Regression.
CoRR
Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2019 A conf
Elastic bands across the path: A new framework and method to lower bound DTW.
SDM
Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2019 — —
Time Series Classification at Scale.
Chang Wei Tan
2019 J jnl
Time series classification for varying length series.
CoRR
Chang Wei Tan, François Petitjean, Eamonn J. Keogh, Geoffrey I. Webb
2018 A conf
Efficient search of the best warping window for Dynamic Time Warping.
SDM
Chang Wei Tan, Matthieu Herrmann, Germain Forestier, Geoffrey I. Webb, François Petitjean
2018 J jnl
Elastic bands across the path: A new framework and methods to lower bound DTW.
CoRR
Chang Wei Tan, François Petitjean, Geoffrey I. Webb
2017 — conf
Design and Implementation of a Low-Power Wireless Sensor Network Platform Based on XBee.
VTC Spring
Fan Wu, Chang Wei Tan, Majid Sarvi, Christoph Rüdiger, Mehmet Rasit Yuce
2017 A conf
Indexing and classifying gigabytes of time series under time warping.
SDM
Chang Wei Tan, Geoffrey I. Webb, François Petitjean