Zhenyuan Lu
I am a deep learning scientist at Seurat and an adjunct faculty member teaching AI/ML at Northeastern University. I received my PhD from Northeastern, with research interests in representation learning and self-supervised learning. My journey was featured on the University PhD Network and spotlighted by the College of Engineering as a Student Success Story.
When I am not geeking out over machine learning, I enjoy DJing, snapping photos, or out on the water kayaking or paddleboarding.
Pain is inevitable, Suffering is a choice.
Software/Tools
For the open-source spirit.
hierAlytics
An easy-to-use analytics web app for exploring and analyzing data based on hierarchical tree.
MealthUp
A new era of health consultant & personalized meal plan implemented machine learning techniques.
BibTeX Citation
Research Publications
For understanding the difficulty
Featured
Transformer encoder with multiscale deep learning for pain classification using physiological signals
Zhenyuan Lu, Burcu Ozek, Sagar Kamarthi
Frontiers in Physiology · 2023
2024
Uncertainty quantification in neural-network based pain intensity estimation
Burcu Ozek, Zhenyuan Lu, Srinivasan Radhakrishnan, Sagar Kamarthi
PloS · 2024
Navigating the evolution of digital twins research through keyword co-occurence network analysis
Wei Li, Haozhou Zhou, Zhenyuan Lu, Sagar Kamarthi
Sensors · 2024
2023
Analysis of pain research literature through keyword co-occurrence networks
Burcu Ozek, Zhenyuan Lu, Fatemeh Pouromran, Srinivasan Radhakrishnan, Sagar Kamarthi
PloS Digital Health · 2023
2022
Trends in adopting industry 4.0 for asset life cycle management for sustainability: a keyword co-occurrence network review and analysis
Sachini Weerasekara, Zhenyuan Lu, Burcu Ozek, Jacqueline Isaacs, Sagar Kamarthi
Sustainability · 2022
Keyword co-occurrence network for pain research literature review
Burcu Ozek, Zhenyuan Lu, Fatemeh Pouromran, Sagar Kamarthi
INFORMS · 2022
BibTeX Citation
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
No posts found.
Teaching & Resources
Sharing knowledge through curated learning materials and interactive courses
Learning Materials
2 resources
Python Notebook from Zero to Advanced
Zhenyuan Lu
This book is designed for those with little or no Python programming experience, and it is filled with concise, easy-to-understand examples that will help you learn quickly and effectively.
Data Visualization/Transformation Tutorial in R
Zhenyuan Lu
This book is designed for those with little or no Python programming experience, and it is filled with concise, easy-to-understand examples that will help you learn quickly and effectively.
Current & Past Courses
4 coursesComputation and Visualization for Analytics
This course covers basic of the R, and R Shiny for data preprocessing, and visualization.
Northeastern University · Boston · Seattle · Vancourver
AI/ML Master Project
This course offers students a culminating experience to demonstrate proficiency in AI/ML.
Northeastern University · Boston · Vancourver
Data Mining in Engineering
This course covers the theory and applications of data mining in engineering.
Northeastern University · Boston
Python for Object-Oriented Programming
This course is designed for those with little or no Python programming experience.
Northeastern University · Vancourver