Spatial-Slice Feature Learning Using Visual Transformer and Essential Slices Selection Module for COVID-19 Detection of CT Scans in the Wild. - Chih-Chung Hsu; Chi-Han Tsai; Guan-Lin Chen; Sin-Di Ma; Shen-Chieh Tai (ECCV Workshops (7), 2022)

Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans. - Chih-Chung Hsu; Chi-Han Tsai; Guan-Lin Chen; Sin-Di Ma; Shen-Chieh Tai (CoRR, 2022)

Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans. - Chih-Chung Hsu; Chih-Yu Jian; Chia-Ming Lee; Chi-Han Tsai; Shen-Chieh Tai (ICASSP Workshops, 2023)

Gradient Boost Tree Network based on Extensive Feature Analysis for Popularity Prediction of Social Posts. - Chih-Chung Hsu; Chia-Ming Lee; Xiu-Yu Hou; Chi-Han Tsai (ACM Multimedia, 2023)

Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans. - Chih-Chung Hsu; Chih-Yu Jian; Chia-Ming Lee; Chi-Han Tsai; Sheng-Chieh Dai (CoRR, 2023)

A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection. - Chih-Chung Hsu; Chia-Ming Lee; Yang Fan Chiang; Yi-Shiuan Chou; Chih-Yu Jiang; Shen-Chieh Tai; Chi-Han Tsai (CVPR Workshops, 2024)

Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction. - Chih-Chung Hsu; Chia-Ming Lee; Yu-Fan Lin; Yi-Shiuan Chou; Chih-Yu Jian; Chi-Han Tsai (ACM Multimedia, 2024)

Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection. - Chih-Chung Hsu; Chia-Ming Lee; Yang Fan Chiang; Yi-Shiuan Chou; Chih-Yu Jiang; Shen-Chieh Tai; Chi-Han Tsai (CoRR, 2024)