BRAHMS: Novel middleware for integrated systems computation. - Benjamin Mitchinson; Tak-Shing Chan; Jonathan M. Chambers; Martin J. Pearson; Mark D. Humphries; Charles W. Fox; Kevin N. Gurney; Tony J. Prescott (Adv. Eng. Informatics, 2010)

Iris recognition using quaternionic sparse orientation code (QSOC). - Ajay Kumar 001; Tak-Shing Chan (CVPR Workshops, 2012)

Human identification from at-a-distance face images using sparse representation of local iris features. - Ajay Kumar 001; Tak-Shing Chan; Chun-Wei Tan (ICB, 2012)

Reliable ear identification using 2-D quadrature filters. - Tak-Shing Chan; Ajay Kumar 001 (Pattern Recognit. Lett., 2012)

Robust ear identification using sparse representation of local texture descriptors. - Ajay Kumar 001; Tak-Shing Chan (Pattern Recognit., 2013)

Vocal activity informed singing voice separation with the iKala dataset. - Tak-Shing Chan; Tzu-Chun Yeh; Zhe-Cheng Fan; Hung-Wei Chen; Li Su 002; Yi-Hsuan Yang; Jyh-Shing Roger Jang (ICASSP, 2015)

Complex and Quaternionic Principal Component Pursuit and Its Application to Audio Separation. - Tak-Shing Chan; Yi-Hsuan Yang (IEEE Signal Process. Lett., 2016)

Polar $n$-Complex and $n$-Bicomplex Singular Value Decomposition and Principal Component Pursuit. - Tak-Shing Chan; Yi-Hsuan Yang (IEEE Trans. Signal Process., 2016)

Low-Rank Matrix Completion over Finite Abelian Group Algebras for Context-Aware Recommendation. - Chia-An Yu; Tak-Shing Chan; Yi-Hsuan Yang (CIKM, 2017)

Music Signal Processing Using Vector Product Neural Networks. - Zhe-Cheng Fan; Tak-Shing Chan; Yi-Hsuan Yang; Jyh-Shing Roger Jang (CoRR, 2017)

Informed Group-Sparse Representation for Singing Voice Separation. - Tak-Shing Chan; Yi-Hsuan Yang (IEEE Signal Process. Lett., 2017)

Modeling Multi-way Relations with Hypergraph Embedding. - Chia-An Yu; Ching-Lun Tai; Tak-Shing Chan; Yi-Hsuan Yang (CIKM, 2018)

Deep Cyclic Group Networks. - Zhe-Cheng Fan; Tak-Shing Chan; Yi-Hsuan Yang; Jyh-Shing Roger Jang (IJCNN, 2019)

Backpropagation With $N$ -D Vector-Valued Neurons Using Arbitrary Bilinear Products. - Zhe-Cheng Fan; Tak-Shing T. Chan; Yi-Hsuan Yang; Jyh-Shing Roger Jang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Identifying Metering Hierarchies with Distance Correlation and Dominance Constraints. - Tak-Shing T. Chan; Alex J. Gibberd (ICMLA, 2022)

The sparse dynamic factor model: a regularised quasi-maximum likelihood approach. - Luke Mosley; Tak-Shing T. Chan; Alex J. Gibberd (Stat. Comput., 2024)

Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix. - Tak-Shing T. Chan; Alexander J. Gibberd (Comput. Stat. Data Anal., 2025)