||A. Ishibashi, Z. Zhou, S. Liang, T. Hsieh, and M. Yasutake (2022, Oct) Compact Clean Unit System Platform (CUSP) for Quality-of-life Improvement. 2022 IEEE 11th Global Conference on Consumer Electronic
||Meng-Hsuan Liu, Tsung-Hao Hsieh, Sheng-Fu Liang (2020, Nov). Home-used and real-time sleep staging system based on eye-masks and mobile devices. The 2020 International Automatic Control Conference
||Tsung-Hao Hsieh, Yongsong Liu , Shengfu Liang , Masahiro Yasutake, Akira Ishibashi (2019, Oct). The Tent-type Clean Unit System Platform for Air Cleaning and Non-contact Sleep Assessment and Analysis. ICCBB 19: Proceedings of the 2019 3rd International Conference on Computational Biology and Bioinformatics.
||Tsung-Hao Hsieh, Akira Ishibashi, Masahiro Yasutake, Sheng-Fu Liang (2019, Mar). Tent-type Clean Unit System Platform for Sleep Environment Enhancement and Non-contact Sleep Assessment. ICMMI 2019 2019 2nd IERI International Conference on Medical Physics,Medical Engineering and Informatics.
||Hsieh, Tsung-Hao, Ming-Jian Sun, and Sheng-Fu Liang (2015). Musical perception scaling of AEPs from musicians, schizophrenia and normal people. In Technologies and Applications of Artificial Intelligence.
||Hsieh, Tsung-Hao, Ming-Jian Sun, and Sheng-Fu Liang (2014). Diagnosis of Schizophrenia patients based on brain network complexity analysis of resting-state fMRI. 15th International Conference on Biomedical Engineering
||Sheng-Fu Liang, Tsung-Hao Hsieh, Pin-Tzu Chen , Ming-Long Wu, Chun-Chia Kung, Chun-Yu Lin and Fu-Zen Shaw (2012, Nov). Differentiation between Resting-State fMRI data from ADHD and Normal Subjects : Based on Functional Connectivity and Machine Learning. 2012 International conference on Fuzzy Theory and Its Applications.
||Chih-En Kuo, Tsung-Hao Hsieh and Sheng-Fu Liang (2012, Aug). The Automatic Sleep Scoring Method Based on Multiscale Entropy Analysis of EOG Signals. Annual global healthcare conference (GHC) 2012.
||Sheng-Fu Liang, Tsung-Hao Hsieh, Wei-Hong Chen Kuei-Ju Lin (2011, Jun). Classification of EEG Signals from Musicians and Non-Musicians by Neural Networks. The 9th World Congress on Intelligent Control and Automation