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.


07/2024 Our paper 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



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


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


 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


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


 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;
Poster | Award


  • 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

  • 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