Reconfigurable Architecture for Deinterlacer based on Algorithm/Architecture Co-Design. - Gwo Giun Lee; Ming-Jiun Wang; Bo-Han Chen; JiunFu Chen; Ping-Keng Jao; Ching-Jui Hsiao; Ling-Fei Wei (J. Signal Process. Syst., 2011)

Analyzing the dictionary properties and sparsity constraints for a dictionary-based music genre classification system. - Ping-Keng Jao; Li Su 004; Yi-Hsuan Yang (APSIPA, 2013)

Modified lasso screening for audio word-based music classification using large-scale dictionary. - Ping-Keng Jao; Chin-Chia Michael Yeh; Yi-Hsuan Yang (ICASSP, 2014)

AWtoolbox: Characterizing Audio Information Using Audio Words. - Chin-Chia Michael Yeh; Ping-Keng Jao; Yi-Hsuan Yang (ACM Multimedia, 2014)

Using robust principal component analysis to alleviate day-to-day variability in EEG based emotion classification. - Ping-Keng Jao; Yuan-Pin Lin; Yi-Hsuan Yang; Tzyy-Ping Jung (EMBC, 2015)

Informed monaural source separation of music based on convolutional sparse coding. - Ping-Keng Jao; Yi-Hsuan Yang; Brendt Wohlberg (ICASSP, 2015)

Music Annotation and Retrieval using Unlabeled Exemplars: Correlation and Sparse Codes. - Ping-Keng Jao; Yi-Hsuan Yang (IEEE Signal Process. Lett., 2015)

Monaural Music Source Separation Using Convolutional Sparse Coding. - Ping-Keng Jao; Li Su 004; Yi-Hsuan Yang; Brendt Wohlberg (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis. - Yuan-Pin Lin; Ping-Keng Jao; Yi-Hsuan Yang (Frontiers Comput. Neurosci., 2017)

Using Robust Principal Component Analysis to Reduce EEG Intra-Trial Variability. - Ping-Keng Jao; Ricardo Chavarriaga; José del R. Millán (EMBC, 2018)

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks. - Ping-Keng Jao; Ricardo Chavarriaga; José del R. Millán (SMC, 2018)

EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks. - Ping-Keng Jao; Ricardo Chavarriaga; Fabio Dell'Agnola; Adriana Arza 001; David Atienza; José del R. Millán (IEEE Trans. Hum. Mach. Syst., 2021)

Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With Drones. - Fabio Dell'Agnola; Ping-Keng Jao; Adriana Arza 001; Ricardo Chavarriaga; José del R. Millán; Dario Floreano; David Atienza (IEEE J. Biomed. Health Informatics, 2022)

EEG-Based Online Regulation of Difficulty in Simulated Flying. - Ping-Keng Jao; Ricardo Chavarriaga; José del R. Millán (IEEE Trans. Affect. Comput., 2023)