A Boosting Regression-Based Method to Evaluate the Vital Essence in Semiconductor Industry Performance. - Pingyu Hsu 001; I-Wen Yeh; Ching-Hsun Tseng; Shin-Jye Lee (IEEE Access, 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 003; Po Yang 001; Khan Muhammad 001; Hari Mohan Pandey (Pattern Recognit. Lett., 2020)

CSRDNN: An Integrated Scheme for Single Satellite Image Colorization and Super-Resolution Using Deep Neural Networks. - Jia-Nan Feng; Qian Jiang; Xin Jin 005; Ching-Hsun Tseng; Shin-Jye Lee; Shaowen Yao 001 (IJCNN, 2021)

Construction Cost Index Prediction: A Visibility Graph Network Method. - Shengzhong Mao; Ching-Hsun Tseng; Jiayu Shang; Yuping Wu 001; Xiao-Jun Zeng (IJCNN, 2021)

UPANets: Learning from the Universal Pixel Attention Networks. - Ching-Hsun Tseng; Shin-Jye Lee; Jia-Nan Feng; Shengzhong Mao; Yuping Wu 001; Jiayu Shang; Mou-Chung Tseng; Xiao-Jun Zeng (CoRR, 2021)

Update in Unit Gradient. - Ching-Hsun Tseng; Liu-Hsueh Cheng; Shin-Jye Lee; Xiao-Jun Zeng (CoRR, 2021)

Perturbed Gradients Updating within Unit Space for Deep Learning. - Ching-Hsun Tseng; Liu-Hsueh Cheng; Shin-Jye Lee; Xiao-Jun Zeng (IJCNN, 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 005; Qian Jiang; Bin Pu; Wei-Huan Hu; Duen-Ren Liu; Yang Huang 003; Na Zhao 006 (Entropy, 2022)

UPANets: Learning from the Universal Pixel Attention Neworks. - Ching-Hsun Tseng; Shin-Jye Lee; Jia-Nan Feng; Shengzhong Mao; Yuping Wu 001; Jiayu Shang; Xiao-Jun Zeng (Entropy, 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 005; Ling Liu 001; Wei Zhou 011; Shaowen Yao 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

EDU-level Extractive Summarization with Varying Summary Lengths. - Yuping Wu 001; Ching-Hsun Tseng; Jiayu Shang; Shengzhong Mao; Goran Nenadic; Xiao-Jun Zeng (EACL (Findings), 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)

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)

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 Divide and Merge Approach for Improved Classification of Functional Data. - Wei Zhao; Xiao-Jun Zeng; Chengdong Shi; Ching-Hsun Tseng; Yue Chang (BMVC, 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 (IJCNN, 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)

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, 2024)

Mapping-to-Parameter nonlinear functional regression with Iterative Local B-spline knot placement. - Chengdong Shi; Xiao-Jun Zeng; Ching-Hsun Tseng; Wei Zhao (Neurocomputing, 2025)