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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Wearable EDA Quality Model improves SOTA
Published:
Electrodermal activity (EDA) is a key indicator of sympathetic nervous system activation and a reliable marker of emotional arousal or stress. However, motion artifacts and connectivity issues often degrade EDA signal quality. To enable meaningful interpretation, it is essential to distinguish between high- and low-quality EDA signals. We propose an EDA signal quality index system leveraging unsupervised pre-training—a strategy widely used in natural language processing models such as GPT. Our approach achieve approximately $8\%$ in ROCAUC improvement compared to SOTA, while requiring only half the training epochs. This demonstrates that even with limited labeled data and a lightweight model, pre-training can significantly enhance EDA quality assessment, making it practical for real-time, wearable health applications.
Multi-task learning and Multi-Modal learning
Published:
Multi-task Learning solves multiple tasks at one time, while exploiting commonalities and differences across tasks. Multi-modal Learning integrates and processes multiple types of data in one framework.
Chat-GPT assists programming and debugging
Published:
How Chat-gpt from Open-AI going to affect our day-to-day work?
Tutorial for audio MNIST dataset
Published:
This is a tutorial for analyzing audio MNIST (digits) dataset
notes for deep one-class classification
Published:
Notes for reading paper: learning and evaluating representations for deep one-class classification link.
Predict unit-level LoS using time-series modelling
Published:
We propose to a dynamic, real-time, lightweight, end-to-end next day median ED-LoS prediction algorithm using time-series LSTM modelling. Similar method can be extended to unit-level KPI prediction.
Challenges in data labels
Published:
I here list some different challenges in data labels that I encountered in the past and ways to model them.
Reverse gradient searching for turning point
Published:
This note summerizes using a simple and efficient trick: reverse gradient searching for finding turning points in noisy cases.
Time series clustering using tslearn
Published:
TSlearn package for classic timeseries clustering methods.
Notes from reading papers on SBM and GNN
Published:
Notes from reading papers about Stochastic Block Models and Graph Neural Networks
Automatic python script start setup
Published:
A simple tutorial on how to host a python service on a server using bat script and task scheduler.
OMP for sparse signal recovery
Published:
Ortogonal Matching Pursuit for recovering sparse signals
portfolio
card design: best wishes for 2022
Published:
Best Wishes for the year 2022. Copyright protected. 
Museum Memes
Published:
Some memes that I created from visiting museums. Be Amused! Copyright protected.
publications
Partial face recognition
Published in 2016
a framework proposed to recognize partial faces without requirement of alignment information 
Compressive coding via random replicate mirror
Published in 2016
System calibration and image reconstruction of compressed sensing imaging system 
Reconstruction-free deep convolutional neural networks for partially observed images
Published in 2018
Reconstruction-free (imputation-free) object detection on any observed patterns 
Sub-bagging in sparse optimization
Published in 2019
This work studies what is optimal bootstrapping ratio for subsampled bagging in sparse optimization. 
Collaborative ensambles in sparse optimization
Published in 2019
Collaborative ensambles in sparse optimization
Optical coherence tomography using physical domain data compression to achieve MHz A-scan rates
Published in 2019
MSAR: Identify comorbidities associated with recurrent ED and in-patient visits
Published in Journal 1 2022
Interpretable framework to identify top-X factors associated with ED & in-patient recurrent visits. 
Recommended citation: LLL. (2022). "Identify comorbidities associated with recurrent ED and in-patient visits." Journal 1. 1(3). https://arxiv.org/abs/2110.13769
Improvements of LACE+ 30-day Readmission Risk Score
Published in 2022
17% AUC improvement of the original LACE+ readmission risk score
Predict unit-level LoS using time-series modelling
Published in 2022
a dynamic, real-time, deployment-friendly, lightweight, end-to-end next day median ED-LoS prediction algorithm using time-series LSTM modelling. Summary
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Wavelets
Graduate course, The Johns Hopkins University, Department of Electrical and Computer Engineering, 2014
Sep 2014 - May 2018, Teaching Assistant
Introduction to Electrical and Computer Engineering
Undergraduate course, The Johns Hopkins University, Department of Electrical and Computer Engineering, 2014
Sep 2014 - May 2018, Teaching Assistant
Compressed Sensing
Graduate course, The Johns Hopkins University, Department of Electrical and Computer Engineering, 2015
Sep 2014 - May 2018, Teaching Assistant