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2020 – today
- 2023
[c14]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: 1713-1717- 2022
- [j3]Sean Shensheng Xu, Man-Wai Mak, Chunqi Chang:
Inter-patient ECG classification with i-vector based unsupervised patient adaptation. Expert Syst. Appl. 210: 118410 (2022) - 2021
- [c13]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: 1299-1304 - [c12]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: 1-5 - 2020
- [j2]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): 717-727 (2020)
2010 – 2019
- 2019
- [j1]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): 1574-1584 (2019) - 2018
- [c11]Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung:
Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks. BIBM 2018: 784-787 - 2017
- [c10]Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung:
Deep neural networks versus support vector machines for ECG arrhythmia classification. ICME Workshops 2017: 127-132 - 2016
- [c9]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: 396-402 - 2015
- [c8]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: 1-6 - 2014
- [c7]Chi-Chung Cheung, Hon-Wai Chu, Sean Shensheng Xu:
A new optimization algorithm for power saving in backbone networks. ICCCN 2014: 1-6 - [c6]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: 1225-1230 - 2013
- [c5]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: 1-7 - [c4]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: 1-6 - 2012
- [c3]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: 448-457 - 2011
- [c2]Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu:
A fast learning algorithm with Promising Convergence Capability. IJCNN 2011: 937-942 - 2010
- [c1]Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu:
Enhanced Two-Phase method in fast learning algorithms. IJCNN 2010: 1-7
Coauthor Index
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