Enhanced Two-Phase method in fast learning algorithms. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2010)

A fast learning algorithm with Promising Convergence Capability. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2011)

Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms. - Sin Chun Ng; Chi-Chung Cheung; Andrew Kwok-Fai Lui; Sean Shensheng Xu (ISNN (1), 2012)

Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks. - Chi-Chung Cheung; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2013)

A new fast learning algorithm with promising global convergence capability for feed-forward neural networks. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2013)

A new optimization algorithm for power saving in backbone networks. - Chi-Chung Cheung; Hon-Wai Chu; Sean Shensheng Xu (ICCCN, 2014)

Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2014)

A new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks. - Sean Shensheng Xu; Chi-Chung Cheung (IJCNN, 2015)

A systematic algorithm to escape from local minima in training feed-forward neural networks. - Chi-Chung Cheung; Sean Shensheng Xu; Sin Chun Ng (IJCNN, 2016)

Deep neural networks versus support vector machines for ECG arrhythmia classification. - Sean Shensheng Xu; Man-Wai Mak; Chi-Chung Cheung (ICME Workshops, 2017)

Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks. - Sean Shensheng Xu; Man-Wai Mak; Chi-Chung Cheung (BIBM, 2018)

Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks. - Sean Shensheng Xu; Man-Wai Mak; Chi-Chung Cheung (IEEE J. Biomed. Health Informatics, 2019)

I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification. - Sean Shensheng Xu; Man-Wai Mak; Chi-Chung Cheung (IEEE J. Biomed. Health Informatics, 2020)

Speaker Turn Aware Similarity Scoring for Diarization of Speech-Based Cognitive Assessments. - Sean Shensheng Xu; Man-Wai Mak; Ka Ho Wong; Helen Meng; Timothy C. Y. Kwok (APSIPA ASC, 2021)

Age-Invariant Speaker Embedding for Diarization of Cognitive Assessments. - Sean Shensheng Xu; Man-Wai Mak; Ka Ho Wong; Helen Meng; Timothy C. Y. Kwok (ISCSLP, 2021)

Inter-patient ECG classification with i-vector based unsupervised patient adaptation. - Sean Shensheng Xu; Man-Wai Mak; Chunqi Chang (Expert Syst. Appl., 2022)

Integrated and Enhanced Pipeline System to Support Spoken Language Analytics for Screening Neurocognitive Disorders. - Helen Meng; Brian Mak; Man-Wai Mak; Helene H. Fung; Xianmin Gong; Timothy C. Y. Kwok; Xunying Liu; Vincent C. T. Mok; Patrick C. M. Wong; Jean Woo; Xixin Wu; Ka Ho Wong; et al. (INTERSPEECH, 2023)