Applied Machine Learning Projects

Recent advances in artificial intelligence (AI) empower an intelligent system/robot with various autonomous capabilities to understand and interact with the world. I have explored machine learning techniques on various applications (e.g. audio event detection, topic discovery, and fake news detection).

2025

AI-Assisted Triage and Decision Support of Head and Neck Cancer Screening and Diagnosis in Low-Resourced Settings

Min Hun Lee, Sean Shao Wei Lam, Shaun Liew, Michael Dorosan, Nicholas Graves, Jonas Karlströem, Hiang Khoon Tan, Walter Tsong Lee
International Joint Conference on Artificial Intelligence (IJCAI), AI and Social Good Track 2025

A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-based Deep Learning Networks for Facial Palsy Detection

Nicole Heng Yim Oo, Min Hun Lee, Jeong Hoon Lim
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Special Session Data Science Foundations and Applications (DSFA) 2025

2024

Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Network

International Joint Conference on Artificial Intelligence (IJCAI) Explainable Artificical Intelligence (XAI) Workshop. 2024

Investigating a Multimodal Fusion Approach for Detecting Facial Palsy

Nicole Heng Yim Oo, Min Hun Lee, Jeong Hoon Lim
International Joint Conference on Artificial Intelligence (IJCAI) AI for Ageless Aging (AIAA) Workshop. 2024

2023

2022

2021

2020

2019

2018

2017

An Approach for Self-Training Audio Event Detectors using Web Data

Benjamin Elizalde*, Ankit Shah*, Siddharth Dalmia*, Min Hun Lee*, Rohan Badlani, Anurag Kumar, Bhiksha Raj, Ian Lane
European Signal Processing Conference (EUSIPCO) 2017

Neural-Network Models for Detecting Fake-News

Min Hun Lee, Sumeet Kumar

A-EPSGLD: An Asynchronous Distributed Framework for Efficient Large-scale LDA Inference

Yuan Yang, Yifan Yang, Min Hun Lee