The Diet-Aware Dining Table: Observing Dietary Behaviors over a Tabletop Surface. - Keng-hao Chang; Shih-yen Liu; Hao-Hua Chu; Jane Yung-jen Hsu; Cheryl Chia-Hui Chen; Tung-yun Lin; Chieh-Yu Chen; Polly Huang (Pervasive, 2006)

Visibility representations of four-connected plane graphs with near optimal heights. - Chieh-Yu Chen; Ya-Fei Hung; Hsueh-I Lu (Comput. Geom., 2009)

Power-aware space-time-trellis-coded MIMO detector with SNR estimation and state-purging. - Kai-Ting Shr; Chieh-Yu Chen; Jin-Wei Jhang; Yuan-Hao Huang (ISCAS, 2017)

Adversarial Generation Of Defensive Trajectories In Basketball Games. - Chieh-Yu Chen; Wenze Lai; Hsin-Ying Hsieh; Yu-Shuen Wang; Wen-Hsiao Peng; Jung-Hong Chuang (ICME Workshops, 2018)

Generating Defensive Plays in Basketball Games. - Chieh-Yu Chen; Wenze Lai; Hsin-Ying Hsieh; Wen-Hao Zheng; Yu-Shuen Wang; Jung-Hong Chuang (ACM Multimedia, 2018)

Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition. - Sung-Lin Yeh; Gao-Yi Chao; Bo-Hao Su; Yu-Lin Huang; Meng-Han Lin; Yin-Chun Tsai; Yu-Wen Tai; Zheng-Chi Lu; Chieh-Yu Chen; Tsung-Ming Tai; Chiu-Wang Tseng; Cheng-Kuang Lee; et al. (INTERSPEECH, 2019)

BasketballGAN: Generating Basketball Play Simulation Through Sketching. - Hsin-Ying Hsieh; Chieh-Yu Chen; Yu-Shuen Wang; Jung-Hong Chuang (ACM Multimedia, 2019)

Equipment Anomaly Detection for Semiconductor Manufacturing by Exploiting Unsupervised Learning from Sensory Data. - Chieh-Yu Chen; Shi-Chung Chang; Da-Yin Liao (Sensors, 2020)

Correlation between Heart Rate Variability and Sleep Stage in OSA patient. - Jian-Chiun Liou; Chieh-Yu Chen; Wen-Te Liu; Shang-Yang Lin (ICCE-TW, 2022)

JadeHare wins Honeymoon Bridge tournament in ICGA 2022. - Chieh-Yu Chen; Shun-Shii Lin (J. Int. Comput. Games Assoc., 2022)

Generative Residual Diffusion Modeling for Km-scale Atmospheric Downscaling. - Morteza Mardani; Noah D. Brenowitz; Yair Cohen; Jaideep Pathak; Chieh-Yu Chen; Cheng-Chin Liu; Arash Vahdat; Karthik Kashinath; Jan Kautz; Mike Pritchard (CoRR, 2023)

Exploiting Related Sensor Measurements for Effective Unsupervised Learning-based Detection of Equipment Anomalies*. - Chieh-Yu Chen; Shi-Chung Chang (CoDIT, 2024)