Sean Shensheng Xu

According to our database, Sean Shensheng Xu authored at least 16 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Inter-patient ECG classification with i-vector based unsupervised patient adaptation.

Sean Shensheng Xu, Man-Wai Mak, Chunqi Chang

Expert Syst. Appl., 2022

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

Proceedings of the 12th International Symposium on Chinese Spoken Language Processing, 2021

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

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

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

2019

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

2018

Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks.

Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Deep neural networks versus support vector machines for ECG arrhythmia classification.

Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung

Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

2016

A systematic algorithm to escape from local minima in training feed-forward neural networks.

Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

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

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A new optimization algorithm for power saving in backbone networks.

Chi-Chung Cheung, Hon-Wai Chu, Sean Shensheng Xu

Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

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

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

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

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms.

Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011

A fast learning algorithm with Promising Convergence Capability.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Enhanced Two-Phase method in fast learning algorithms.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the International Joint Conference on Neural Networks, 2010