Xueyuan Gong

According to our database, Xueyuan Gong authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Collaborative learning with normalization augmentation for domain generalization in time series classification.

Qi-Qiao He, Xueyuan Gong, Yain-Whar Si

J. Supercomput., January, 2025

2024

X2-Softmax: Margin adaptive loss function for face recognition.

Jiamu Xu, Xiaoxiang Liu, Xinyuan Zhang, Yain-Whar Si, Xiaofan Li, Zheng Shi, Eric Ke Wang, Xueyuan Gong

Expert Syst. Appl., 2024

MHLR: Moving Haar Learning Rate Scheduler for Large-scale Face Recognition Training with One GPU.

Xueyuan Gong, Yain-Whar Si, Zheng Zhang, Xiaochen Yuan, Ke Wang, Xinyuan Zhang, Cong Lin, Xiaoxiang Liu

CoRR, 2024

2023

Transaction-aware inverse reinforcement learning for trading in stock markets.

Qizhou Sun, Xueyuan Gong, Yain-Whar Si

Appl. Intell., December, 2023

X2-Softmax: Margin Adaptive Loss Function for Face Recognition.

Jiamu Xu, Xiaoxiang Liu, Xinyuan Zhang, Yain-Whar Si, Xiaofan Li, Zheng Shi, Ke Wang, Xueyuan Gong

CoRR, 2023

2022

GIU-GANs: Global Information Utilization for Generative Adversarial Networks.

Yongqi Tian, Xueyuan Gong, Jialin Tang, Binghua Su, Xiaoxiang Liu, Xinyuan Zhang

Neural Networks, 2022

KDCTime: Knowledge distillation with calibration on InceptionTime for time-series classification.

Xueyuan Gong, Yain-Whar Si, Yongqi Tian, Cong Lin, Xinyuan Zhang, Xiaoxiang Liu

Inf. Sci., 2022

2020

Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition.

Jialin Tang, Qinglang Su, Binghua Su, Simon Fong, Wei Cao, Xueyuan Gong

Comput. Methods Programs Biomed., 2020

Correction to "Comparative Research of Swarm Intelligence Clustering Algorithms for Analyzing Medical Data".

Xueyuan Gong, Liansheng Liu, Simon Fong, Qiwen Xu, Tingxi Wen, Zhihua Liu

IEEE Access, 2020

2019

Fast fuzzy subsequence matching algorithms on time-series.

Xueyuan Gong, Simon Fong, Yain-Whar Si

Expert Syst. Appl., 2019

Comparative Research of Swam Intelligence Clustering Algorithms for Analyzing Medical Data.

Xueyuan Gong, Liansheng Liu, Simon Fong, Qiwen Xu, Tingxi Wen, Zhihua Liu

IEEE Access, 2019

2018

Fast multi-subsequence monitoring on streaming time-series based on Forward-propagation.

Xueyuan Gong, Simon Fong, Yain-Whar Si

Inf. Sci., 2018

2016

Discovering sub-patterns from time series using a normalized cross-match algorithm.

Xueyuan Gong, Simon Fong, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi, Athanasios V. Vasilakos

J. Supercomput., 2016

NSPRING: the SPRING extension for subsequence matching of time series supporting normalization.

Xueyuan Gong, Simon Fong, Jonathan H. Chan, Sabah Mohammed

J. Supercomput., 2016

Financial time series pattern matching with extended UCR Suite and Support Vector Machine.

Xueyuan Gong, Yain-Whar Si, Simon Fong, Robert P. Biuk-Aghai

Expert Syst. Appl., 2016

Effect of segmentation on financial time series pattern matching.

Yuqing Wan, Xueyuan Gong, Yain-Whar Si

Appl. Soft Comput., 2016

Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals.

Xueyuan Gong, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Raymond K. Wong, Athanasios V. Vasilakos

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

2013

Comparison of Subsequence Pattern Matching Methods for Financial Time Series.

Xueyuan Gong, Yain-Whar Si

Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013