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<title>Hui Wei's Homepage</title>
<meta name="robots" content="index,follow">
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<body>
<!--autoplay="autoplay"-->
<table cellpadding="20" style="font-size: 18px">
<tbody><tr>
<td><a href="./img/hui.jpeg"><img src="./img/hui.jpeg" alt="Hui Wei" width="240" height="320"></a></td>
<td>
<h1> </h1>
<p><font size="+2"><b>Hui Wei</b></font></p>
<p><font size="+1"><b>PhD student in Computer Science</b>
<p><font size="+1"><b>College of Information & Computer Sciences</b>
<p><font size="+1"><b>University of Massachusetts, Amherst</b>
<br>
<br>
<b>Email</b>: [email protected] <br>
<br>
<br>
<a href="#about me">[About Me]</a>
<a href="#research">[Research Interests]</a>
<a href="#experiences">[Experiences]</a>
<a href="#honors">[Honors and Awards]</a>
<a href="#services">[Services]</a>
<!--<a href="#projects">[Projects]</a>-->
<!--<a href="#seminar">[Organized Seminar]</a>-->
<a href="#miscellaneous">[Miscellaneous]</a>
<!--<a href="#scholastic_achievements">[Scholastic Achievements]</a>-->
<a href="#hobbies">[Hobbies]</a> <br>
</p>
</td>
</tr>
</tbody></table>
<hr>
<a name="about me" class="disabled"><h2> About Me </h2></a>
<ul>
I am a PhD student in <a href="https://www.cics.umass.edu/" target="_blank">UMass Amherst</a>.
I obtained my Master's degree in <a href="https://cs.nyu.edu/home/index.html" target="_blank"> New York University</a> and Bachelor's degree in <a href="https://sice.bupt.edu.cn/" target="_blank"> Beijing University of Posts and Telecommunications</a>.
Please see my <a href="./docs/Resume.pdf" target="_blank">resume</a> for more information.
</ul>
<hr>
<a name="research" class="disabled"><h2> Research Interests </h2></a>
<ul>
Broadly, my research interests lie in both theory and application of machine learning focusing on healthcare.
</ul>
<hr>
<a name="experiences" class="disabled"><h2> Experiences </h2></a>
<ul>
<li> 09/2020 - Now: Ph.D. student in Computer Science, UMass Amherst, USA.</li>
<li> 06/2019 - 06/2020: Research assistant in Population Health department, NYU Langone Health, USA.</li>
<li> 09/2017 - 05/2019: Master's student in Computer Science, New York University, USA.</li>
<li> 09/2013 - 06/2017: Bachelor's student in Telecommunication Engineering, Beijing University of Posts and Telecommunications, China.</li>
</ul>
<!--
<hr>
<a name="projects" class="disabled"><h2> Projects </h2></a>
<ul>
<li><b>Multitask Prediction of Disease Onset from EHR data</b>
<br>
Advised by <a href="http://razavian.net/" target="_blank">Prof. Narges Razavian</a>.
<br>
Using 100 most common lab values of NYU EHR data and deep learning, we try to predict 283 disease onset with the time gap of one year.
</li>
<br>
<li><b>Dementia Subtype Prediction at the First Visit of Early Stages </b><a href="./docs/Dementia_Subtype_Abstract.pdf" target="_blank">[Abstract]</a></b><a href="./docs/Dementia_Subtype_Paper(draft).pdf" target="_blank">[paper draft]</a><a href="https://github.com/wll199566/NACC_Dementia_Subtype" target="_blank" >[code]</a>
<br>
Advised by <a href="http://razavian.net/" target="_blank">Prof. Narges Razavian</a>.
<br>
Applied Multiclass Logistic Regression and Multilayer Perceptron to predict four dementia subtypes (Pure Alzheimer's Disease (AD), Pure Lewy Body Dementia (LBD), Mix AD+LBD, None of these) at the first time patients are detected as mild or very mild dementia.
</li>
<br>
-->
<!-- <li><b>Track-Net</b>
<br>
Advised by <a href="https://chengeli.github.io/personal_site/" target="_blank">Dr. Chenge Li</a> and <a href="http://eeweb.poly.edu/~yao/" target="_blank"> Prof. Yao Wang</a>.
<br>
Leveraged Detect-to-Track-and-Track-to-Detect model fine-tuned from <a href="http://image-net.org/index" target="_blank">ImageNet dataset</a> on <a href="https://iwt4s.wordpress.com/challenge/" target="_blank">UADETRAC traffic video dataset</a>, trying to get dynamic bounding boxes of vehicles.
</li>
<br>
<li><b>ID Card Detection and Information Extraction</b>
<br>
Advised by <a href="http://www.pris.ink/index.php/xiaobo/" target="_blank">Prof. Bo Xiao</a>.
<br>
Designed an automatic system using SIFT descriptors and matching algorithms to detect ID cards within different backgrounds, and OCR technique to extract identity information.
</li>
<br>
<li><b>Automatic Door Locking and Lights off System</b>
<br>
Advised by <a href="https://see.bupt.edu.cn/content/content.php?p=8_18_48" target="_blank">Prof. Yunxiao Zu</a>.
<br>
Designed a control system with an microcontoller unit and a bluetooth module which can automatically lock the door and switch the lights off.
</li>-->
</ul>
<hr>
<a name="honors and awards" class="disabled"><h2>Honors and Awards</h2></a>
<ul>
<li>
<a href="https://websites.umass.edu/ions/2023/04/25/student-spotlight-hui-wei/">Student Spotlight, Neuroscience at UMass Amherst, 2023.</a>
</li>
<li>
Merit Student Scholarship, Beijing University of Posts and Telecommunications, 2014-2017.
</li>
</ul>
<hr>
<a name="publications" class="disabled"><h2>Publications</h2></a>
<ul>
<li>
<b>Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates</b>.
<br>
<b>Hui Wei*</b>, Shenghua He*, Tian Xia, Andy Wong, Jingyang Lin, Mei Han.
<br>
Preprint, Under review.
<br>
<a href="https://www.arxiv.org/abs/2408.13006" target="_blank">[Paper]</a>
<!--<a href="https://github.com/reml-lab/allofus-imputation" target="_blank">[Code]</a>
<a href="./docs/chil_poster.pdf" target="_blank">[Poster]</a> -->
</li>
<br>
<li>
<b>Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation</b>.
<br>
<b>Hui Wei</b>, Maxwell A Xu, Colin Samplawski, James Matthew Rehg, Santosh Kumar, Benjamin M. Marlin.
<br>
Conference on Health, Inference, and Learning (CHIL 2024) and ICLR workshop on Learning from Time Series for Health (2024).
<br>
<a href="https://arxiv.org/abs/2406.18848" target="_blank">[Paper]</a>
<a href="https://github.com/reml-lab/allofus-imputation" target="_blank">[Code]</a>
<a href="./docs/chil_poster.pdf" target="_blank">[Poster]</a>
</li>
<br>
<li>
<b>REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning</b>.
<br>
Maxwell A. Xu, Alexander Moreno, <b>Hui Wei</b>, Benjamin M. Marlin, James M. Rehg.
<br>
12th International Conference on Learning Representations (ICLR 2024).
<br>
<a href="https://arxiv.org/abs/2311.00519" target="_blank">[Paper]</a>
<a href="https://github.com/maxxu05/rebar" target="_blank">[Code]</a>
<a href="./docs/rebar_poster.pdf" target="_blank">[Poster]</a>
</li>
<br>
<li>
<b>On Gaps of Clinical Diagnosis of Dementia Subtypes: A Study of Alzheimer's Disease and Lewy Body Disease</b>.
<br>
<b>Hui Wei</b>, Arjun V. Masurkar, Narges Razavian.
<br>
Frontiers in Aging Neuroscience (2023) and AAIC (2021).
<br>
<a href="https://www.frontiersin.org/articles/10.3389/fnagi.2023.1149036/full" target="_blank">[Paper]</a>
<a href="./docs/AAIC_Poster_Hui_Wei.pdf" target="_blank">[Poster]</a>
</li>
</ul>
<!--
<hr>
<a name="seminar" class="disabled"><h2> Organized Seminars</h2></a>
<ul>
From Fall 2020, I will organize the <b><a href="./data_meets_healthcare.html" target="_blank">Data meets Healthcare</a></b> seminar for students and faculty in BioNLP group and UMass. Please check our webpage of this event.
</ul>
-->
<!--
<h3> Class Projects </h3></a>
<ul>
<li><b><a href="./docs/CheXpertNet.pdf" target="_blank">CheXpertNet</a></b><a href="https://github.com/wll199566/CheXpert" target="_blank"> [code]</a>
<br>
Deep Learning in Medicine (Narges Razavian, Cem Deniz), Spring 2019
<br>
</li>
<br>
<li><b><a href="./docs/BV Segmentation.pdf" target="_blank">Deep Segmentation for Mouse Embryo Brain Ventricles</a></b><a href="https://github.com/wll199566/Deep-Segmentation-for-Mouse-Embro-Brain-Ventricles" target="_blank"> [code]</a>
<br>
Machine Learning for Healthcare (Rajesh Ranganath), Fall 2018
<br>
</li>
<br>
<li><b><a href="./docs/Generate_chairs.pdf" target="_blank">Learning to Generate Chaires with Convolutional Nerual Networks</a></b><a href="https://github.com/bmahlbrand/Learning-to-Generate-Chairs-with-Convolutional-Neural-Networks" target="_blank"> [code]</a>
<br>
Computer Vision (Rob Fergus), Fall 2018
<br>
</li>
<br>
<li><b><a href="./docs/FML-FA18-Project-hw1666-xc1113.pdf" target="_blank">Transfer Learning for Text Classification</a></b><a href="https://github.com/wll199566/Text_Classification" target="_blank"> [code]</a>
<br>
Foundations of Machine Learning (Mehryar Mohri), Fall 2018
<br>
</li>
<br>
<li><b><a href="./docs/k-means-sdp.pdf" target="_blank">K-means: A Semidefinite Programming’s Perspective</a></b>
<br>
Convex and Nonsmooth Optimization (Michael L. Overton), Spring 2018
<br>
</li>
<br>
<li><b><a href="./docs/vision meets ml final presentation.pdf" target="_blank">No Game No Driving - Transfer driving task via cycleGAN</a></b>
<br>
Vision Meets Machine Learning (Davi Geiger), Fall 2017
<br>
</li>
</ul>
-->
<hr>
<a name="services" class="disabled"><h2> Services </h2></a>
<ul>
<li> Reviewer, workshop on Learning from Time Series for Health, ICLR 2024 and NeurIPS 2022.</li>
<li> Evaluation committee, workshop on DATA'23 at Sensys 2023 & Buildsys 2023. </li>
<li> Organizer, semimar on <a href="./data_meets_healthcare.html" target="_blank">Data meets Healthcare</a>, UMass Amherst 2020 and 2021.</li>
<li> Panelist, PhD student panel at Candidate Friday, UMass Amherst CICS 2022. </li>
</ul>
<hr>
<a name="miscellaneous" class="disabled"><h2> Miscellaneous </h2></a>
<ul>
<li><a href="./docs/Notes_for_Neural_ODE.pdf" target="_blank">Notes for Neural ODE paper.</a></li>
<li><a href="./docs/Note_for_Survival_Analysis.pdf" target="_blank">Notes for Survival Analysis.</a> (Reference book: Survival Analysis A Self-Learning Text, Third Edition, by David G. Kleinbaum and Mitchel Klein)</li>
<li><a href="./docs/Notes_for_VAE.pdf" target="_blank">Notes for Variational Autoencoder.</a>
<!--
<li><b><a href="./docs/Notes_for_PRML.pdf" target="_blank">Notes for Pattern Recognition and Machine Learning</a></b></li>
<li><b><a href="./docs/Notes_for_Object_Detection_Papers.pdf" target="_blank">Notes for Object Detection Papers</a></b></li>
<li><b><a href="./docs/Notes_for_Sequence_Models.pdf" target="_blank">Notes for Sequence-to-Seqence Papers</a></b></li>
<li><b><a href="./docs/Notes_for_VQA_and_QA_papers.pdf" target="_blank">Notes for Question Answering Papers</a></b></li>
<li><b><a href="./docs/Notes_for_Deep_Learning_in_Medicine_papers.pdf" target="_blank">Notes for Deep Learning in Medicine Papers</a></b></li>
<li><b><a href="./docs/Notes_for_Alzheimer_Literatures_Review.pdf" target="_blank">Notes for Alzheimer Literatures</a></b></li>
<li><b><a href="./docs/Transfer Learning for Healthcare.pdf" target="_blank">Presentation Slides for Machine Learning for Healthcare course</a></b></li>
<li><b><a href="./docs/Transformer4AD.pdf" target="_blank">Presentation Slides for Razavian Lab Meeting</a></b></li>
-->
</ul>
<!--
<hr>
<a name="scholastic_achievements" class="disabled"><h2> Scholastic Achievements </h2></a>
<li>BUPT Second Class Merit Student Scholarship in 2013-2014</li>
<li>BUPT Third Class Merit Student Scholarship in 2014-2017</li>
-->
<!--<a name="talks" class="disabled"><h3> Talks </h3></a>
<ul>
<li><b><a href="./files/learning_from_draft.pdf" target="_blank">Enhanced Neural Machine Translation by Learning from Draft </a></b>, CSLT, Tsinghua University, Beijing, China, June 2017</li>
</ul>
<a name="awards" class="disabled"><h3> Awards </h3></a>
<ul>
<li><b>Computer Science Department's M.S. Thesis/Research Fellowship, Fall 2018</b></li>
</ul>
<a name="others" class="disabled"><h3> Others </h3></a>
<ul>
<li><b> Teaching assistant:</b></li>
<a name="others" class="disabled"><h4> Teaching assistant </h4></a>
<ul>
<li><b><a href="http://www.stephanmandt.com/courses/intro-to-ML.html" target="_blank">Introduction to Machine Learning, Fall 2019</a></b></li>
<li><b><a href="https://cs.nyu.edu/courses/spring19/CSCI-GA.2565-001/" target="_blank">Machine Learning, Spring 2019</a></b></li>
<li><b><a href="https://cs.nyu.edu/courses/fall18/CSCI-GA.1170-001/" target="_blank">Foundamental Algorithms, Fall 2018</a></b></li>
</ul>
</ul>
-->
<hr>
<a name="hobbies" class="disabled"><h2> Hobbies </h2></a>
<ul>Basketball, running, swimming, hiking, reading, music, movies.</ul>
<hr>
<br>
"Stay Hungry, Stay Foolish."
-- Steve Jobs
<br>
<br>
"Don't ever let someone tell you, you can't do something. Not even me. You got a dream, you got to protect it. People can't do something themselves, they want to tell you you can't do it. You want something, go get it. Period."
-- The Pursuit of Happyness
<br>
<br>
<br>
Last updated: 2024/09/04
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