Blog & Projects
For work, research, or fun
Brief Introduction to Contrastive Learning Pretext Tasks for Visual Representation
To improve performance in visual feature representation from photos or videos for practical applications, we generally require large-scale human-annotated labeled data while training deep neural networks.
Artifacts Analysis and Mitigation in NLP
Machine learning models can reach high performance on benchmark natural language processing (NLP) datasets but fail in more challenging settings. We study this issue when pre-trained model learns dataset artifacts in natural language inference (NLI), the topic of studying the logical relationship between a pair of text sequences.
Introduction to Self-supervised Learning
This presentation dive into applications of AI, progressing from modern machine learning techniques to more specific topic self-supervised learning.
Wrist Motion and Hand Gesture Classification
PainAttnNet Model Extended Version on Motion Detection based on Signals.
Data Visualization In A Nutshell
The purpose is to help students understand what kinds of data visualization challenges exist in the real world. We will discuss several techniques to dealing with common issues/problems encountered in the actual world or industry."
Application of Artificial Intelligence in Healthcare
This workshop will introduce you to the concepts of big data, Artificial Intelligence (AI) and Machine Learning (ML) and their application in health care.
Integration of A Lateral Flow Immunoassay Panel with 3D-printed and Laser-cut Cartridge for Gastroenteritis
SBIR Program, DTRA Project
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