Chaojing Duan

According to our database, Chaojing Duan authored at least 14 papers between 2016 and 2026.

Collaborative distances:

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

2026

Encoder-Free ECG-Language Models.

William Han, Tony Chen, Chaojing Duan, Xiaoyu Song, Yihang Yao, Yuzhe Yang, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, January, 2026

2025

Retrieval-Augmented Generation for Electrocardiogram-Language Models.

Xiaoyu Song, William Han, Tony Chen, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, October, 2025

Signal, Image, or Symbolic: Exploring the Best Input Representation for Electrocardiogram-Language Models Through a Unified Framework.

William Han, Chaojing Duan, Zhepeng Cen, Yihang Yao, Xiaoyu Song, Atharva Mhaskar, Dylan Leong, Michael A. Rosenberg, Emerson Liu, Ding Zhao

CoRR, May, 2025

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling.

William Han, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Ding Zhao

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Interpretation of Intracardiac Electrograms Through Textual Representations.

William Jongwon Han, Diana Gómez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

CoRR, 2024

Interpretation of Intracardiac Electrograms Through Textual Representations.

William Han, Diana Guadalupe Gomez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao

Proceedings of the Conference on Health, 2024

2023

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

CoRR, 2023

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report.

Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao

Proceedings of the Machine Learning for Health, 2023

2020

Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering.

Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian

IEEE Trans. Image Process., 2020

2019

3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation.

Chaojing Duan, Siheng Chen, Jelena Kovacevic

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes.

Chaojing Duan, Siheng Chen, Jelena Kovacevic

CoRR, 2018

Weighted Multi-Projection: 3D Point Cloud Denoising with Tangent Planes.

Chaojing Duan, Siheng Chen, Jelena Kovacevic

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2016

A Novel Variable Selection Approach for Redundant Information Elimination Purpose of Process Control.

Jiachen Li, Chaojing Duan, Zhongyang Fei

IEEE Trans. Ind. Electron., 2016

A variable selection aided residual generator design approach for process control and monitoring.

Chaojing Duan, Zhongyang Fei, Jiachen Li

Neurocomputing, 2016