Sean Shensheng Xu

17 papers A 1B 8Journal 3Unranked 5

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