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2020 – today
- 2025
[j14]Qi-Qiao He, Xueyuan Gong, Yain-Whar Si:
Collaborative learning with normalization augmentation for domain generalization in time series classification. J. Supercomput. 81(1): 114 (2025)- 2024
- [j13]Jiamu Xu
, Xiaoxiang Liu, Xinyuan Zhang, Yain-Whar Si, Xiaofan Li, Zheng Shi, Eric Ke Wang, Xueyuan Gong:
X2-Softmax: Margin adaptive loss function for face recognition. Expert Syst. Appl. 249: 123791 (2024) - [i4]Xueyuan Gong, Yain-Whar Si, Zheng Zhang, Xiaochen Yuan, Ke Wang, Xinyuan Zhang, Cong Lin, Xiaoxiang Liu:
MHLR: Moving Haar Learning Rate Scheduler for Large-scale Face Recognition Training with One GPU. CoRR abs/2404.11118 (2024) - 2023
- [j12]Qizhou Sun, Xueyuan Gong, Yain-Whar Si:
Transaction-aware inverse reinforcement learning for trading in stock markets. Appl. Intell. 53(23): 28186-28206 (2023) - [i3]Jiamu Xu, Xiaoxiang Liu, Xinyuan Zhang, Yain-Whar Si, Xiaofan Li, Zheng Shi, Ke Wang, Xueyuan Gong:
X2-Softmax: Margin Adaptive Loss Function for Face Recognition. CoRR abs/2312.05281 (2023) - 2022
- [j11]Xueyuan Gong, Yain-Whar Si, Yongqi Tian, Cong Lin, Xinyuan Zhang, Xiaoxiang Liu:
KDCTime: Knowledge distillation with calibration on InceptionTime for time-series classification. Inf. Sci. 613: 184-203 (2022) - [j10]Yongqi Tian, Xueyuan Gong, Jialin Tang, Binghua Su, Xiaoxiang Liu, Xinyuan Zhang:
GIU-GANs: Global Information Utilization for Generative Adversarial Networks. Neural Networks 152: 487-498 (2022) - [i2]Yongqi Tian, Xueyuan Gong, Jialin Tang, Binghua Su, Xiaoxiang Liu, Xinyuan Zhang:
GIU-GANs: Global Information Utilization for Generative Adversarial Networks. CoRR abs/2201.10471 (2022) - 2021
- [i1]Xueyuan Gong, Yain-Whar Si, Yongqi Tian, Cong Lin, Xinyuan Zhang, Xiaoxiang Liu:
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification. CoRR abs/2112.02291 (2021) - 2020
- [j9]Xueyuan Gong, Liansheng Liu, Simon Fong, Qiwen Xu, Tingxi Wen, Zhihua Liu:
Correction to "Comparative Research of Swarm Intelligence Clustering Algorithms for Analyzing Medical Data". IEEE Access 8: 110251 (2020) - [j8]Jialin Tang, Qinglang Su, Binghua Su, Simon Fong, Wei Cao, Xueyuan Gong:
Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition. Comput. Methods Programs Biomed. 197: 105622 (2020)
2010 – 2019
- 2019
- [j7]Xueyuan Gong, Liansheng Liu, Simon Fong, Qiwen Xu, Tingxi Wen, Zhihua Liu:
Comparative Research of Swam Intelligence Clustering Algorithms for Analyzing Medical Data. IEEE Access 7: 137560-137569 (2019) - [j6]Xueyuan Gong, Simon Fong, Yain-Whar Si:
Fast fuzzy subsequence matching algorithms on time-series. Expert Syst. Appl. 116: 275-284 (2019) - 2018
- [j5]Xueyuan Gong, Simon Fong, Yain-Whar Si:
Fast multi-subsequence monitoring on streaming time-series based on Forward-propagation. Inf. Sci. 450: 73-88 (2018) - 2016
- [j4]Yuqing Wan, Xueyuan Gong, Yain-Whar Si:
Effect of segmentation on financial time series pattern matching. Appl. Soft Comput. 38: 346-359 (2016) - [j3]Xueyuan Gong, Yain-Whar Si, Simon Fong, Robert P. Biuk-Aghai:
Financial time series pattern matching with extended UCR Suite and Support Vector Machine. Expert Syst. Appl. 55: 284-296 (2016) - [j2]Xueyuan Gong, Simon Fong, Jonathan H. Chan, Sabah Mohammed:
NSPRING: the SPRING extension for subsequence matching of time series supporting normalization. J. Supercomput. 72(10): 3801-3825 (2016) - [j1]Xueyuan Gong, Simon Fong, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi, Athanasios V. Vasilakos:
Discovering sub-patterns from time series using a normalized cross-match algorithm. J. Supercomput. 72(10): 3850-3867 (2016) - [c2]Xueyuan Gong, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Raymond K. Wong, Athanasios V. Vasilakos:
Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals. PAKDD Workshops 2016: 169-180 - 2013
- [c1]Xueyuan Gong, Yain-Whar Si:
Comparison of Subsequence Pattern Matching Methods for Financial Time Series. CIS 2013: 154-158
Coauthor Index
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