Sean Shensheng Xu

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 9

Top Topics

Beat Classification

Optimization Algorithm

Top Venues

IEEE J. Biomed. Health Informatics

Publications

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, Sean Shensheng Xu, Naijun Zheng, Ranzo Huang, Jiawen Kang, Xiaoquan Ke, Junan Li, Jinchao Li, Yi Wang
Integrated and Enhanced Pipeline System to Support Spoken Language Analytics for Screening Neurocognitive Disorders. INTERSPEECH (2023)
Sean Shensheng Xu, Man-Wai Mak, Chunqi Chang
Inter-patient ECG classification with i-vector based unsupervised patient adaptation. Expert Syst. Appl. 210 (2022)
Sean Shensheng Xu, Man-Wai Mak, Ka Ho Wong, Helen Meng, Timothy C. Y. Kwok
Age-Invariant Speaker Embedding for Diarization of Cognitive Assessments. ISCSLP (2021)
Sean Shensheng Xu, Man-Wai Mak, Ka Ho Wong, Helen Meng, Timothy C. Y. Kwok
Speaker Turn Aware Similarity Scoring for Diarization of Speech-Based Cognitive Assessments. APSIPA ASC (2021)
Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung
I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung
Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung
Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks. BIBM (2018)
Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung
Deep neural networks versus support vector machines for ECG arrhythmia classification. ICME Workshops (2017)
Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng
A systematic algorithm to escape from local minima in training feed-forward neural networks. IJCNN (2016)
Sean Shensheng Xu, Chi-Chung Cheung
A new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks. IJCNN (2015)
Chi-Chung Cheung, Hon-Wai Chu, Sean Shensheng Xu
A new optimization algorithm for power saving in backbone networks. ICCCN (2014)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks. IJCNN (2014)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
A new fast learning algorithm with promising global convergence capability for feed-forward neural networks. IJCNN (2013)
Chi-Chung Cheung, Andrew K. Lui, Sean Shensheng Xu
Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks. IJCNN (2013)
Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu
Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms. ISNN (1) (2012)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
A fast learning algorithm with Promising Convergence Capability. IJCNN (2011)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
Enhanced Two-Phase method in fast learning algorithms. IJCNN (2010)