Scholar

Minh-Tuan Tran (Henry)

Google Scholar ID: iag2fS0AAAAJ

Monash University

Machine LearningComputer VisionTime SeriesAI for HealthcareEfficient GenAI

Citations & Impact

All-time

Citations

176

H-index

i10-index

Publications

Co-authors

list available

Contact

Resume

Academic Achievements

Publications:
- Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation
- Enhancing Dataset Distillation via Non-Critical Region Refinement (CVPR 2025, CORE A*)
- SHIP: A Shapelet-based Approach for Interpretable Patient-Ventilator Asynchrony Detection (PAKDD 2025, CORE A)
- Text-Enhanced Data-free Approach for Federated Class-Incremental Learning (CVPR 2024, CORE A*)
- NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation (CVPR 2024, CORE A*)
- PISD: A linear complexity distance beats dynamic time warping on time series classification and clustering (EAAI 2024, IF: 7.50)
- ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification (KDD 2024, CORE A*)
- Learning Perceptual Position-aware Shapelets for Time series Classification (ECML PKDD 2022, CORE A)
- An Improvement of SAX Representation for Time Series by Using Complexity Invariance (IDA 2020, IF: 1.70)
- A Novel Non-Parametric Method for Time Series Classification Based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging (EAAI 2019, IF: 7.50)
- A Weighted Local Mean-based k-Nearest Neighbors Classifier for Time Series (ICMLC 2017, Singapore)
- Detecting Special Lecturers Using Information theory-based Outlier Detection Method (ICCDA 2017, USA)

Research Experience

Currently a PhD student at the Faculty of Information Technology, Monash University, with research areas including machine learning, computer vision, time series, and healthcare data mining.

Education

1. PhD in Artificial Intelligence, Monash University, March 2023 - Present, Advisors: Prof. Dinh Phung and Dr. Trung Le
2. M.S. in Computer Science, Korea Advanced Institute of Science & Technology (KAIST), September 2020 - September 2022
3. B.S. in Computer Science, Ton Duc Thang University, September 2013 - September 2017

Background

Research interests: efficient synthetic data generation and generative models (including diffusion, VAR or LLM), with a focus on their applications across various domains, including computer vision, time series analysis, and healthcare data mining.

Miscellany