Scholar
ChangWei Tan
Google Scholar ID: 5qFM8OoAAAAJ
Applied Scientist Oracle
Citations & Impact
Citations
1,353
H-index
15
i10-index
20
Publications
20
Co-authors
6
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Awarded the Mollie Holman Medal for the best doctoral thesis in the Faculty of Information Technology, Monash University.
- Received a best paper award for “Efficient search of the best warping window for Dynamic Time Warping”, introducing a novel DTW parameter learning algorithm.
- Published multiple high-impact papers, including:
- - “Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series” (Data Mining and Knowledge Discovery, 2025)
- - “Series2vec: similarity-based self-supervised representation learning for time series classification” (Data Mining and Knowledge Discovery, 2024)
- - “MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations” (ACL 2024)
- - Co-authored the survey “Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey” (ACM Computing Surveys)
- - Co-developed MONSTER: Monash Scalable Time Series Evaluation Repository
Research Experience
- Former Research Fellow at the Department of Data Science and AI, Monash University, specializing in time series analysis and machine learning applications.
- Collaborated with the Institute of Railway Technology (IRT) at Monash University to enhance railway track maintenance using time series analysis.
- Provided data science services to Stemly, developing autonomous supply chain demand forecasting solutions.
- Led the Computational Cultural Understanding (CCU) project under DARPA, focusing on predicting conversational shifts for cultural insight.
- Conducted research on Time Series Extrinsic Regression (TSER) for predicting continuous outcomes from time series data.
- Explored EEG-based applications including epilepsy diagnosis and driver distraction detection.
