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Zhenyuan Lu

I am a deep learning scientist at Seurat and AI/ML adjunct factulty at Northeastern University. I received my PhD from Northeastern University focusing on AI/ML. My PhD journey is showcased on the University PhD Network. The College of Engineering released a spotlight for a Student Success Story.

Check out my Python tutorial: Python Notebook from Zero to Advanced or get visual with my R tutorial on Data Visualization/Transformation Tutorial in R. My guide on Data Visualization Data Viz in a Nutshell. When I am not at work, you will find me behind the lens in my very own photography studio, snapping everything from sassy portraits to whimsical whatever.

Zhenyuan Lu

Software/Tools

For open-source spirit.


Teachings

For sharing the joy of what I have learnt.


Selected Publications

For understanding the difficulty.

2024

The Evolution of Digital Twins Research Analysis

Image created by Amol Adgaonkar. Not included in the original publication.

Wei Li , Haozhou Zhou , Zhenyuan Lu , Sagar Kamarthi

HTML
pyKCN A Python Tool for Bridging Scientific Knowledge

Zhenyuan Lu , Wei Li , Burcu Ozek , Haozhou Zhou , Srinivasan Radhakrishnan , Sagar Kamarthi

Code PDF arxiv: 2403.16157
Uncertainty quantification in neural-network based pain intensity estimation

PloS

Burcu Ozek , Zhenyuan Lu , Srinivasan Radhakrishnan , Sagar Kamarthi

HTML

2023

Transformer encoder with multiscale deep learning for pain classification using physiological signals

Frontiers in Physiology

Zhenyuan Lu , Burcu Ozek , Sagar Kamarthi

HTML Code
Wrist Motion and Hand Gesture Classification

PainAttnNet Model Extended Version on Motion Detection based on Signals.

Zhenyuan Lu

HTML Code PDF
Analysis of Pain Research Literature through Keyword Co-occurrence Networks

Burcu Ozek , Zhenyuan Lu , Fatemeh Pouromran , Srinivasan Radhakrishnan , Sagar Kamarthi

HTML
Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation

Burcu Ozek , Zhenyuan Lu , Srinivasan Radhakrishnan , Sagar Kamarthi

PDF arxiv: 2311.08569 html5

2022

Artifacts Analysis and Mitigation in Natural Language Processing

Multi-Scales Data Augmentation Approach with ELECTRA Pre-Trained Model.

Zhenyuan Lu

HTML PDF arxiv: 2212.08756
Intro to Contrastive Learning Pretext Task for Signal Representation

Intro to Contrastive Learning

Zhenyuan Lu

HTML PDF arxiv: 2210.03163
Industry 4.0 for Asset Life Cycle Management for Sustainability - Keyword Co-occurrence Network Review and Analysis

Sachini Weerasekara , Zhenyuan Lu , Burcu Ozek , Jacqueline Isaacs , Sagar Kamarthi

HTML PDF


For work, research, or fun.

Intro to Self-supervised Learning

Zhenyuan Lu

Talk, School of Medicine, University of Washington, Seattle

Data Visualization In A Nutshell

Zhenyuan Lu

Talk, informs, Northeastern University, Boston

github Slides
Data Visualization Tutorial in R/R Shiny

Introduces static and interactive visualization, dashboard, and web app in R/R Shiny.

Zhenyuan Lu

HTML Code
Applications of Artificial Intelligence in Healthcare

HIA Immersion Weekend Jan 8th, 2021

Zhenyuan Lu

Workshop, Tufts University, Boston

Integration of A Lateral Flow Immunoassay Panel with 3D-printed and Laser-cut Cartridge for Gastroenteritis

Master thesis, SBIR Program, DTRA Project

Zhenyuan Lu

Blog PDF Patent
hierAlytics

An easy-to-use analytics web app for exploring and analyzing data based on hierarchical tree.

Zhenyuan Lu

Blog
MealthUp™

A new era of health consultant & personalized meal plan implemented machine learning techniques.

Zhenyuan Lu

Blog


Field Researches and Teachings at Texas TXmap

For involving the world.


@TXState

Special thanks to my teaching advisor Dr. David E Lemke ; and Dr. Tim Bonner who taught the BEST Ichthyology .


What is a Good Graduate Program?

I received numerous emails from my students asking about what constitutes a good graduate program. I’d like to share with you some insightful words from Dr. Yiqing Xu of Stanford University (I translated it into English):

  • “The criteria for evaluating a good graduate program is how much time is spent on the continuous accumulation of knowledge and skills (during which the learning curve can be linear or even exponential) and how much time is spent on simple repetitive tasks that do not lead to the improvement of knowledge and skills.”