A Novel Data Placement Scheme on Optical Discs for Near-VOD Servers. - Shiao-Li Tsao; Yueh-Min Huang; Chia-Chin Lin; Shiang-Chung Liou; Chien-Wen Huang (IDMS, 1997)

Characterizing Web users' degree of Web 2.0-ness. - I-Ping Chiang; Chun-Yao Huang; Chien-Wen Huang (J. Assoc. Inf. Sci. Technol., 2009)

Traffic metrics and Web 2.0-ness. - I-Ping Chiang; Chun-Yao Huang; Chien-Wen Huang (Online Inf. Rev., 2010)

A Salient Ensemble of Trees using Cascaded Linear Classifiers with Feature-Cost Constraints. - Chien-Wen Huang; Chung-Kuang Chou; Ming-Syan Chen (SDM, 2018)

Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1. - Fu-Shun Hsu; Shang-Ran Huang; Chien-Wen Huang; Chao-Jung Huang; Yuan-Ren Cheng; Chun-Chieh Chen; Jack Hsiao; Chung-Wei Chen; Lichin Chen; Yen-Chun Lai; Bi-Fang Hsu; Nian-Jhen Lin; et al. (CoRR, 2021)

An Update of a Progressively Expanded Database for Automated Lung Sound Analysis. - Fu-Shun Hsu; Shang-Ran Huang; Chien-Wen Huang; Yuan-Ren Cheng; Chun-Chieh Chen; Jack Hsiao; Chung-Wei Chen; Feipei Lai (CoRR, 2021)

Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection. - Fu-Shun Hsu; Shang-Ran Huang; Chien-Wen Huang; Chun-Chieh Chen; Yuan-Ren Cheng; Feipei Lai (CoRR, 2021)

Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation. - Fu-Shun Hsu; Shang-Ran Huang; Chang-Fu Su; Chien-Wen Huang; Yuan-Ren Cheng; Chun-Chieh Chen; Chun-Yu Wu; Chung-Wei Chen; Yen-Chun Lai; Tang-Wei Cheng; Nian-Jhen Lin; Wan-Lin Tsai; et al. (CoRR, 2021)

A dual-purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training. - Fu-Shun Hsu; Shang-Ran Huang; Chang-Fu Su; Chien-Wen Huang; Yuan-Ren Cheng; Chun-Chieh Chen; Chun-Yu Wu; Chung-Wei Chen; Yen-Chun Lai; Tang-Wei Cheng; Nian-Jhen Lin; Wan-Ling Tsai; et al. (Biomed. Signal Process. Control., 2023)