Chongyan Chen

According to our database, Chongyan Chen authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Evaluation of GPT-4V and Gemini in Online VQA.

Mengchen Liu, Chongyan Chen

CoRR, 2023

Fully Authentic Visual Question Answering Dataset from Online Communities.

Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari

CoRR, 2023

VQA Therapy: Exploring Answer Differences by Visually Grounding Answers.

Chongyan Chen, Samreen Anjum, Danna Gurari

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Reply to issues about entitymetrics and paper-entity citation network.

Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu

Scientometrics, 2022

Pandemics are catalysts of scientific novelty: Evidence from COVID-19.

Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding

J. Assoc. Inf. Sci. Technol., 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 H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Grounding Answers for Visual Questions Asked by Visually Impaired People.

Chongyan Chen, Samreen Anjum, Danna Gurari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Analyzing knowledge entities about COVID-19 using entitymetrics.

Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu

Scientometrics, 2021

Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

CoRR, 2021

Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning.

Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng

CoRR, 2020

Can pandemics transform scientific novelty? Evidence from COVID-19.

Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding

CoRR, 2020

Coronavirus Knowledge Graph: A Case Study.

Chongyan Chen, Islam Akef Ebeid, Yi Bu, Ying Ding

CoRR, 2020

Building a PubMed knowledge graph.

Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding

CoRR, 2020