| Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition J Tang, Q Su, B Su, S Fong, W Cao, X Gong Computer Methods and Programs in Biomedicine 197, 105622, 2020 | 64 | 2020 |
| Effect of segmentation on financial time series pattern matching Y Wan, X Gong, YW Si Applied Soft Computing 38, 346-359, 2016 | 48 | 2016 |
| Financial time series pattern matching with extended UCR suite and support vector machine X Gong, YW Si, S Fong, RP Biuk-Aghai Expert Systems with Applications 55, 284-296, 2016 | 45 | 2016 |
| Comparative research of swarm intelligence clustering algorithms for analyzing medical data X Gong, L Liu, S Fong, Q Xu, T Wen, Z Liu IEEE Access 7, 137560-137569, 2019 | 31 | 2019 |
| NSPRING: the SPRING extension for subsequence matching of time series supporting normalization X Gong, S Fong, JH Chan, S Mohammed The Journal of Supercomputing 72, 3801-3825, 2016 | 11 | 2016 |
| Fast multi-subsequence monitoring on streaming time-series based on Forward-propagation X Gong, S Fong, YW Si Information Sciences 450, 73-88, 2018 | 10 | 2018 |
| Fast fuzzy subsequence matching algorithms on time-series X Gong, S Fong, YW Si Expert Systems with Applications 116, 275-284, 2019 | 9 | 2019 |
| WITHDRAWN: Benchmarking swarm intelligence clustering algorithms with case study of medical data. X Min, L Liu, Y He, X Gong, S Fong, Q Xu, KK Wong Computerized Medical Imaging and Graphics: the Official Journal of the …, 2016 | 8 | 2016 |
| KDCTime: Knowledge distillation with calibration on InceptionTime for time-series classification X Gong, YW Si, Y Tian, C Lin, X Zhang, X Liu Information Sciences 613, 184-203, 2022 | 7 | 2022 |
| NSPRING: Normalization-supported SPRING for subsequence matching on time series streams X Gong, YW Si, S Fong, S Mohammed 2014 IEEE 15th International Symposium on Computational Intelligence and …, 2014 | 7 | 2014 |
| Comparison of subsequence pattern matching methods for financial time series X Gong, YW Si 2013 Ninth International Conference on Computational Intelligence and …, 2013 | 5 | 2013 |
| Discovering sub-patterns from time series using a normalized cross-match algorithm X Gong, S Fong, RK Wong, S Mohammed, J Fiaidhi, AV Vasilakos The Journal of Supercomputing 72, 3850-3867, 2016 | 4 | 2016 |
| Advances of applying metaheuristics to data mining techniques S Fong, J Li, X Gong, AV Vasilakos Improving Knowledge Discovery through the Integration of Data Mining …, 2015 | 3 | 2015 |
| X2-Softmax: Margin adaptive loss function for face recognition J Xu, X Liu, X Zhang, YW Si, X Li, Z Shi, K Wang, X Gong Expert Systems with Applications 249, 123791, 2024 | 2 | 2024 |
| GIU-GANs: Global Information Utilization for Generative Adversarial Networks Y Tian, X Gong, J Tang, B Su, X Liu, X Zhang Neural Networks 152, 487-498, 2022 | 1 | 2022 |
| Security of E-Health Systems Using Face Recognition Based on Convolutional Neural Network Z Chen, J Tang, X Gong, Q Su International Journal of Extreme Automation and Connectivity in Healthcare …, 2020 | 1 | 2020 |
| Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals X Gong, S Fong, YW Si, RP Biuk-Aghai, RK Wong, AV Vasilakos Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2016 …, 2016 | 1 | 2016 |
| MHLR: Moving Haar Learning Rate Scheduler for Large-scale Face Recognition Training with One GPU X Gong, Y Si, Z Zhang, X Yuan, K Wang, X Zhang, C Lin, X Liu arXiv preprint arXiv:2404.11118, 2024 | | 2024 |
| Transaction-aware inverse reinforcement learning for trading in stock markets Q Sun, X Gong, YW Si Applied Intelligence 53 (23), 28186-28206, 2023 | | 2023 |
| Erratum: Comparative Research of Swarm Intelligence Clustering Algorithms for Analyzing Medical Data (IEEE Access (2019) 7 (137560-137569 X GONG, L LIU, S FONG, Q XU, T WEN, Z LIU | | 2020 |
