Hsi-Ming Chang

According to our database, Hsi-Ming Chang authored at least 6 papers between 2019 and 2025.

Collaborative distances:

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

2025

Towards Better Ultrasound Video Segmentation Foundation Model: An Empirical study on SAM2 Finetuning from Data Perspective.

Xing Yao, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni

CoRR, November, 2025

SAS: Segment Anything Small for Ultrasound - A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging.

Danielle Lopes F. G. Vieira, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni, Gopal Avinash

CoRR, March, 2025

Quantum Error Mitigation via Autoencoder Neural Networks.

Xiao-Dao Lin, Hsi-Ming Chang, Jhih-Shih You, Hsiu-Chuan Hsu

Proceedings of the 2025 IEEE International Conference on Quantum Control, 2025

2023

Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data.

Xiaohui Zhang, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni

Proceedings of the Machine Learning for Health, 2023

2022

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples.

Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni

CoRR, 2022

2019

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization.

Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Rajesh Tamada, Gaurav Kumar, Caroline Favart, V. Ratna Saripalli, Gopal Avinash

CoRR, 2019