Chongyan Chen 陈崇彦

Hi there! I'm a fourth-year Ph.D. student at UT Austin, advised by Prof. Danna Gurari. My research centers on inclusive and accessible visual question answering in authentic use cases. Currently, I am exploring visual questions that require lengthy answers that can accommodate diverse perspectives. Generally, I take great pleasure in redefining ill-posed problems, delving into data to discover insights, and designing algorithms to address challenges.

In my free time, I enjoy drawing. I also write science articles on social media, and I'm the founder of a vision and language discussion group with over 200 researchers who have joined.

NEWS

09/2024 Our paper VizWiz-LF is selected for an oral Presenation (Top 2% of 1036 submissions)!
07/2024 Our paper VizWiz-LF is accepted by COLM 2024!
07/2024 Our paper VQAonline is accepted by ECCV 2024! We introduce the first fully authentic VQA dataset with long-form answers!
06/2024 Organizing the VizWiz Grand Challenge Workshop at CVPR 2024
05/2024 Started my internship with Google DeepMind!
07/2023 Our paper is accepted by ICCV 2023!
06/2023 Organizing the VizWiz Grand Challenge Workshop at CVPR 2023
01/2023 Started my internship with the Microsoft Azure Computer Vision Team
03/2022 Our CVPR paper is selected for an oral presentation!
03/2022 Our paper is accepted by CVPR 2022!
02/2022 Organizing the first VizWiz-VQA-Answer Grounding Challenge at the VizWiz Grand Challenge Workshop

PUBLICATIONS

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Fully Authentic Visual Question Answering Dataset from Online Communities
Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, and Danna Gurari.
VQAonline Homepage, ECCV, 2024


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VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
Chongyan Chen, Samreen Anjum, Danna Gurari.
ICCV, 2023


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 Oral presentation (Top 5% of 8000+ submissions)
Grounding Answers for Visual Questions Asked by Visually Impaired People
Chongyan Chen, Samreen Anjum, Danna Gurari.
CVPR, 2022


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Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays With Radiomics Using a Feedback Loop
Yan Han, Chongyan Chen, Ahmed Tewfik, Benjamin Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang;
WACV, 2022

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 Best Paper Award
Evaluation of Mental Stress and Heart Rate Variability Derived from Wrist-Based Photoplethysmography
Chongyan Chen , Chunhung Li, Chih-Wei Tsai, and Xinghua Deng;
IEEE ECBIOS, 2019
Poster | Award

Education

  • PhD, information school, University of Texas at Austin2020-2025
  • Msc, information school, University of Texas at Austin2018-2020
  • B.Eng. Electronic Engineering, South China University of Technology2014-2018
  • AWARDS

  • Kilgarlin Fellowship, 2020-2024
  • William and Margaret Kilgarlin Endowed Scholarship, 2020-2021
  • Master Thesis-Dean’s Choice Award finalist, 5/8/2020
  • Best Conference Paper Award, IEEE ECBIOS, 6/2019
  • First Prize Award: 311 Calls and 500 Cities Hackathon, University of Texas at Austin,10/2018