| 2025 | ISCAS | FCCQA: A High-Performance FPGA-based Accelerator for Approximate Nearest Neighbor Search. | Tianle Miao, Zhipeng Wu, Dejian Li, Yongxiang Lyu, Mang I Vai, Yu Liu |
| 2016 | ASPDAC | Sub-W QRS detection processor using quadratic spline wavelet transform and maxima modulus pair recognition for power-efficient wireless arrhythmia monitoring. | Chio-In Ieong, Pui-In Mak, Mang I Vai, Rui Paulo Martins |
| 2016 | ASPDAC | Sub-threshold VLSI logic family exploiting unbalanced pull-up/down network, logical effort and inverse-narrow-width techniques. | Mingzhong Li, Chio-In Ieong, Man-Kay Law, Pui-In Mak, Mang I Vai, Sio-Hang Pun, Rui Paulo Martins |
| 2014 | SMC | Muscle and electrode motion artifacts reduction in ECG using adaptive Fourier decomposition. | Ze Wang, Chiman Wong, Janir Nuno da Cruz, Feng Wan, Pui-In Mak, Peng Un Mak, Mang I Vai |
| 2013 | ISNN | Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces. | Ka Fai Lao, Chiman Wong, Feng Wan, Pui-In Mak, Peng Un Mak, Mang I Vai |
| 2011 | ICMLC | Blind biosignal classification framework based on DTW algorithm. | Sam Chao, Fai Wong, Heng-Leong Lam, Mang I Vai |
| 2011 | IJCNN | Entropy penalized learning for Gaussian mixture models. | Boyu Wang, Feng Wan, Peng Un Mak, Pui-In Mak, Mang I Vai |
| 2011 | IJCNN | A Solution to harmonic frequency problem: Frequency and phase coding-based brain-computer interface. | Chiman Wong, Boyu Wang, Feng Wan, Peng Un Mak, Pui-In Mak, Mang I Vai |
| 2011 | PAKDD | Robust Learning of Mixture Models and Its Application on Trial Pruning for EEG Signal Analysis. | Boyu Wang, Feng Wan, Peng Un Mak, Pui-In Mak, Mang I Vai |
| 2009 | ISCAS | A 90nm CMOS Bio-potential Signal Readout Front-end with Improved Powerline Interference Rejection. | Chon-Teng Ma, Pui-In Mak, Mang I Vai, Peng Un Mak, Sio-Hang Pun, Feng Wan, Rui Paulo Martins |
| 2004 | ICIG | Gabor wavelets transform and extended nearest feature space classifier for face recognition. | Jianke Zhu, Mang I Vai, Peng Un Mak |