Hi, I'm Ethan Yuchen Wu

I am currently a research intern advised by Prof. Xiaojuan Ma at Hong Kong University of Science and Technology, focusing on immersive analytics of oceanographic data. I am also a MCs student at ShanghaiTech University, supervised by Prof. Quan Li

I am with an open mind to explore my research potential in diverse avenues during my MCs study. Thus, I have dived into areas of Visual Analytics, Hybrid User Interface, Theories/Methodologies, and VR/AR. Through this diverging process, I am delighted to finally converge on my research interest - Facilitating enhanced human interaction, analysis, and overall well-being in extended reality through the integration of visualization and intelligence , which prompts me to

look for a Ph.D. position with prospective admission in Fall 2025! Kindly e-mail me if you see a good fit!
Google Scholar GitHub ORCID
Education
  • ShanghaiTech University
    ShanghaiTech University
    Master Student in Computer Science (MCs)
    Sep. 2022 - present
Experience
  • Hong Kong University of Science and Technology
    Hong Kong University of Science and Technology
    Research Intern
    Sep. 2024 - present
News
2024
Become a research intern at HCI Initiative @ HKUST, working with Prof. Xiaojuan Ma!
Sep 30
Our paper accepted at TVCG! Congrats to my collaborators. Read more
Jan 30
2023
Attending VIS 2023 at Melbourne!
Oct 23
Two papers accepted at VIS 2023!
Jun 28
2022
Begin my MCS journey at ViSeer Lab with Prof. Quan Li!
Aug 31
Selected Publications (view all )
KMTLabeler: An Interactive Knowledge-Assisted Labeling Tool for Medical Text Classification
KMTLabeler: An Interactive Knowledge-Assisted Labeling Tool for Medical Text Classification

He Wang, Yang Ouyang, Yuchen Wu, Chang Jiang, Lixia Jin, Yuanwu Cao, Quan Li

IEEE Transactions on Visualization and Computer Graphics (TVCG) 2024

Photo by Thomas Renaud on Unsplash. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

[Paper]

KMTLabeler: An Interactive Knowledge-Assisted Labeling Tool for Medical Text Classification
KMTLabeler: An Interactive Knowledge-Assisted Labeling Tool for Medical Text Classification

He Wang, Yang Ouyang, Yuchen Wu, Chang Jiang, Lixia Jin, Yuanwu Cao, Quan Li

IEEE Transactions on Visualization and Computer Graphics (TVCG) 2024

Photo by Thomas Renaud on Unsplash. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

[Paper]

Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning
Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning

Yang Ouyang, Yuchen Wu, He Wang, Chenyang Zhang, Furui Cheng, Chang Jiang, Lixia Jin, Yuanwu Cao, Quan Li

IEEE Transactions on Visualization and Computer Graphics (TVCG) 2023 VIS 2023

We present DiagnosisAssistant, a visual analytics system that leverages historical medical records as a proxy for multimodal modeling and visualization to enhance the learning experience of interns and novice physicians. The system employs elaborately designed visualizations to explore different modality data, offer diagnostic interpretive hints based on the constructed model, and enable comparative analyses of specific patients.

[paper]

Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning
Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning

Yang Ouyang, Yuchen Wu, He Wang, Chenyang Zhang, Furui Cheng, Chang Jiang, Lixia Jin, Yuanwu Cao, Quan Li

IEEE Transactions on Visualization and Computer Graphics (TVCG) 2023 VIS 2023

We present DiagnosisAssistant, a visual analytics system that leverages historical medical records as a proxy for multimodal modeling and visualization to enhance the learning experience of interns and novice physicians. The system employs elaborately designed visualizations to explore different modality data, offer diagnostic interpretive hints based on the constructed model, and enable comparative analyses of specific patients.

[paper]

LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce
LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce

Yuchen Wu, Yuansong Xu, Shenghan Gao, Xingbo Wang, Wenkai Song, Zhiheng Nie, Xiaomeng Fan, Quan Li

IEEE Transactions on Visualization and Computer Graphics (TVCG) 2023 VIS 2023

This study identified computational features, formulated design requirements, and developed LiveRetro , an interactive visual analytics system. It enables comprehensive retrospective analysis of livestream e-commerce for streamers, viewers, and merchandise. LiveRetro employs enhanced visualization and time-series forecasting models to align performance features and feedback, identifying influences at channel, merchandise, feature, and segment levels.

[Paper]

LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce
LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce

Yuchen Wu, Yuansong Xu, Shenghan Gao, Xingbo Wang, Wenkai Song, Zhiheng Nie, Xiaomeng Fan, Quan Li

IEEE Transactions on Visualization and Computer Graphics (TVCG) 2023 VIS 2023

This study identified computational features, formulated design requirements, and developed LiveRetro , an interactive visual analytics system. It enables comprehensive retrospective analysis of livestream e-commerce for streamers, viewers, and merchandise. LiveRetro employs enhanced visualization and time-series forecasting models to align performance features and feedback, identifying influences at channel, merchandise, feature, and segment levels.

[Paper]

All publications