| 2023 | Interspeech | 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, Sean Shensheng Xu, Naijun Zheng, Ranzo Huang, Jiawen Kang, Xiaoquan Ke, Junan Li, Jinchao Li, Yi Wang |
| 2016 | IJCNN | A systematic algorithm to escape from local minima in training feed-forward neural networks. | Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng |
| 2015 | IJCNN | 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 |
| 2014 | ICCCN | A new optimization algorithm for power saving in backbone networks. | Chi-Chung Cheung, Hon-Wai Chu, Sean Shensheng Xu |
| 2014 | IJCNN | 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 |
| 2013 | IJCNN | 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 |
| 2013 | IJCNN | 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 |
| 2012 | ISNN | Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms. | Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu |
| 2011 | IJCNN | A fast learning algorithm with Promising Convergence Capability. | Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu |
| 2010 | IJCNN | Enhanced Two-Phase method in fast learning algorithms. | Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu |