Ching-Hsun Tseng

21 papers A 1B 4Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
2D Time-varying functional modeling framework for multi-scale solar irradiance forecasting.
Neural Networks
Chengdong Shi, Wei Zhao, Xiao-Jun Zeng, Ching-Hsun Tseng, Yue Chang
2025 J jnl
Mapping-to-Parameter nonlinear functional regression with Iterative Local B-spline knot placement.
Neurocomputing
Chengdong Shi, Xiao-Jun Zeng, Ching-Hsun Tseng, Wei Zhao
2024 A conf
A Novel Divide and Merge Approach for Improved Classification of Functional Data.
BMVC
Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng, Yue Chang
2024 B conf
Functional Data Analysis as the Feature Representation for the Classification Problem in one or two dimensional spaces.
IJCNN
Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng
2024 J jnl
Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm.
CoRR
Chengdong Shi, Ching-Hsun Tseng, Wei Zhao, Xiao-Jun Zeng
2024 J jnl
Real-Time Automatic M-Mode Echocardiography Measurement With Panel Attention.
IEEE J. Biomed. Health Informatics
Ching-Hsun Tseng, Shao-Ju Chien, Po-Shen Wang, Shin-Jye Lee, Bin Pu, Xiao-Jun Zeng
2023 J jnl
A Novel Method of Fuzzy Topic Modeling based on Transformer Processing.
CoRR
Ching-Hsun Tseng, Shin-Jye Lee, Po-Wei Cheng, Chien Lee, Chih-Chieh Hung
2023 — conf
EDU-level Extractive Summarization with Varying Summary Lengths.
EACL (Findings)
Yuping Wu, Ching-Hsun Tseng, Jiayu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng
2023 J jnl
Knowledge From the Dark Side: Entropy-Reweighted Knowledge Distillation for Balanced Knowledge Transfer.
CoRR
Chi-Ping Su, Ching-Hsun Tseng, Shin-Jye Lee
2023 J jnl
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels.
CoRR
Ching-Hsun Tseng, Shao-Ju Chien, Po-Shen Wang, Shin-Jye Lee, Wei-Huan Hu, Bin Pu, Xiao-Jun Zeng
2022 J jnl
A Deep Multitask Convolutional Neural Network for Remote Sensing Image Super-Resolution and Colorization.
IEEE Trans. Geosci. Remote. Sens.
Jia-Nan Feng, Qian Jiang, Ching-Hsun Tseng, Xin Jin, Ling Liu, Wei Zhou, Shaowen Yao
2022 J jnl
EDU-level Extractive Summarization with Varying Summary Lengths.
CoRR
Yuping Wu, Ching-Hsun Tseng, Jiayu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng
2022 B conf
Perturbed Gradients Updating within Unit Space for Deep Learning.
IJCNN
Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng
2022 J jnl
Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support.
Entropy
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
2022 J jnl
UPANets: Learning from the Universal Pixel Attention Neworks.
Entropy
Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yuping Wu, Jiayu Shang, Xiao-Jun Zeng
2021 B conf
CSRDNN: An Integrated Scheme for Single Satellite Image Colorization and Super-Resolution Using Deep Neural Networks.
IJCNN
Jia-Nan Feng, Qian Jiang, Xin Jin, Ching-Hsun Tseng, Shin-Jye Lee, Shaowen Yao
2021 B conf
Construction Cost Index Prediction: A Visibility Graph Network Method.
IJCNN
Shengzhong Mao, Ching-Hsun Tseng, Jiayu Shang, Yuping Wu, Xiao-Jun Zeng
2021 J jnl
UPANets: Learning from the Universal Pixel Attention Networks.
CoRR
Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yuping Wu, Jiayu Shang, Mou-Chung Tseng, Xiao-Jun Zeng
2021 J jnl
Update in Unit Gradient.
CoRR
Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng
2020 J jnl
A Boosting Regression-Based Method to Evaluate the Vital Essence in Semiconductor Industry Performance.
IEEE Access
Pingyu Hsu, I-Wen Yeh, Ching-Hsun Tseng, Shin-Jye Lee
2020 J jnl
A dimension-reduction based multilayer perception method for supporting the medical decision making.
Pattern Recognit. Lett.
Shin-Jye Lee, Ching-Hsun Tseng, G. T.-R. Lin, Yun Yang, Po Yang, Khan Muhammad, Hari Mohan Pandey