Ching-Hsun Tseng

According to our database, Ching-Hsun Tseng authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

Real-Time Automatic M-Mode Echocardiography Measurement With Panel Attention.

Ching-Hsun Tseng, Shao-Ju Chien, Po-Shen Wang, Shin-Jye Lee, Bin Pu, Xiao-Jun Zeng

IEEE J. Biomed. Health Informatics, September, 2024

Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm.

Chengdong Shi, Ching-Hsun Tseng, Wei Zhao, Xiao-Jun Zeng

CoRR, 2024

Functional Data Analysis as the Feature Representation for the Classification Problem in one or two dimensional spaces.

Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Knowledge From the Dark Side: Entropy-Reweighted Knowledge Distillation for Balanced Knowledge Transfer.

Chi-Ping Su, Ching-Hsun Tseng, Shin-Jye Lee

CoRR, 2023

A Novel Method of Fuzzy Topic Modeling based on Transformer Processing.

Ching-Hsun Tseng, Shin-Jye Lee, Po-Wei Cheng, Chien Lee, Chih-Chieh Hung

CoRR, 2023

Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels.

Ching-Hsun Tseng, Shao-Ju Chien, Po-Shen Wang, Shin-Jye Lee, Wei-Huan Hu, Bin Pu, Xiao-Jun Zeng

CoRR, 2023

EDU-level Extractive Summarization with Varying Summary Lengths.

Yuping Wu, Ching-Hsun Tseng, Jia-Yu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

A Deep Multitask Convolutional Neural Network for Remote Sensing Image Super-Resolution and Colorization.

Jia-Nan Feng, Qian Jiang, Ching-Hsun Tseng, Xin Jin, Ling Liu, Wei Zhou, Shaowen Yao

IEEE Trans. Geosci. Remote. Sens., 2022

UPANets: Learning from the Universal Pixel Attention Neworks.

Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yuping Wu, Jia-Yu Shang, Xiao-Jun Zeng

Entropy, 2022

Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support.

Shin-Jye Lee, Ching-Hsun Tseng, Hui-Yu Yang, Xin Jin, Qian Jiang, Bin Pu, Wei-Huan Hu, Duen-Ren Liu, Yang Huang, Na Zhao

Entropy, 2022

Perturbed Gradients Updating within Unit Space for Deep Learning.

Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Update in Unit Gradient.

Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng

CoRR, 2021

UPANets: Learning from the Universal Pixel Attention Networks.

Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yuping Wu, Jia-Yu Shang, Mou-Chung Tseng, Xiao-Jun Zeng

CoRR, 2021

Construction Cost Index Prediction: A Visibility Graph Network Method.

Shengzhong Mao, Ching-Hsun Tseng, Jia-Yu Shang, Yuping Wu, Xiao-Jun Zeng

Proceedings of the International Joint Conference on Neural Networks, 2021

CSRDNN: An Integrated Scheme for Single Satellite Image Colorization and Super-Resolution Using Deep Neural Networks.

Jia-Nan Feng, Qian Jiang, Xin Jin, Ching-Hsun Tseng, Shin-Jye Lee, Shaowen Yao

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A dimension-reduction based multilayer perception method for supporting the medical decision making.

Shin-Jye Lee, Ching-Hsun Tseng, G. T.-R. Lin, Yun Yang, Po Yang, Khan Muhammad, Hari Mohan Pandey

Pattern Recognit. Lett., 2020

A Boosting Regression-Based Method to Evaluate the Vital Essence in Semiconductor Industry Performance.

Pingyu Hsu, I-Wen Yeh, Ching-Hsun Tseng, Shin-Jye Lee

IEEE Access, 2020