Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publication
Discovering sub-patterns from time series using a normalized cross-match algorithm
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Recommended citation: Xueyuan Gong, Simon Fong*, Raymond K. Wong, Sabah Mohammed, Jinan Fiaidhi, and Athanasios V. Vasilakos, "Discovering sub-patterns from time series using a normalized cross-match algorithm," the Journal of Supercomputing, 2016, 72: 3850-3867.
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Effect of segmentation on financial time series pattern matching
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Recommended citation: Yuqing Wan, Xueyuan Gong, and Yain-Whar Si*, "Effect of segmentation on financial time series pattern matching," Applied Soft Computing, 2016, 38: 346-359.
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NSPRING: the SPRING extension for subsequence matching of time series supporting normalization
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Recommended citation: Xueyuan Gong, Simon Fong*, Jonathan H. Chan, and Sabah Mohammed, "NSPRING: the SPRING extension for subsequence matching of time series supporting normalization," the Journal of Supercomputing, 2016, 72: 3801-3825.
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Financial time series pattern matching with extended UCR Suite and Support Vector Machine
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Recommended citation: Xueyuan Gong, Yain-Whar Si*, Simon Fong, and Robert P. Biuk-Aghai, "Financial time series pattern matching with extended UCR Suite and Support Vector Machine," Expert Systems with Applications, 2016, 55: 284-296.
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Fast Multi-subsequence Monitoring on Streaming Time-series based on Forward-propagation
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Recommended citation: Xueyuan Gong*, Simon Fong, and Yain-Whar Si, "Fast Multi-subsequence Monitoring on Streaming Time-series based on Forward-propagation," Information Sciences, 2018, 450: 73-88.
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Fast Fuzzy Subsequence Matching on Time-series
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Recommended citation: Xueyuan Gong*, Simon Fong, and Yain-Whar Si, "Fast Fuzzy Subsequence Matching on Time-series, " Expert Systems with Applications, 2019, 116: 275-284.
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Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition
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Recommended citation: Jialin Tang, Qinglang Su, Binhua Su, Simon Fong*, Wei Cao, and Xueyuan Gong*, "Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition," Computer Methods and Programs in Biomedicine, 2020, 197: 105622.
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GIU-GANs: Global Information Utilization for Generative Adversarial Networks
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Recommended citation: Yongqi Tian, Xueyuan Gong*, Jialin Tang, Binhua Su, Xiaoxiang Liu, and Xinyuan Zhang, "GIU-GANs: Global Information Utilization for Generative Adversarial Networks," Neural Networks, 2022, 152: 487-498.
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KDCTime: Knowledge distillation with calibration on InceptionTime for time-series classification
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Recommended citation: Xueyuan Gong, Yain-Whar Si, Yongqi Tian, Cong Lin, Xinyuan Zhang, and Xiaoxiang Liu*, "KDCTime: Knowledge distillation with calibration on InceptionTime for time-series classification," Information Sciences, 2022, 613: 184-203.
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Transaction-aware Inverse Reinforcement Learning for Trading in Stock Markets
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Recommended citation: Qizhou Sun, Xueyuan Gong, and Yain-Whar Si*, "Transaction-aware Inverse Reinforcement Learning for Trading in Stock Markets," Applied Intelligence, 2023, 53(23): 28186-28206.
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X2-Softmax: Margin adaptive loss function for face recognition
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Recommended citation: Jiamu Xu, Xiaoxiang Liu, Xinyuan Zhang, Yain-Whar Si, Xiaofan Li, Zheng Shi, Ke Wang, and Xueyuan Gong*, X2-Softmax: Margin adaptive loss function for face recognition, Expert Systems with Applications, 2024, 249: 123791.
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Collaborative learning with normalization augmentation for domain generalization in time series classification
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Recommended citation: Qi-Qiao He, Xueyuan Gong, and Yain-Whar Si*, Collaborative learning with normalization augmentation for domain generalization in time series classification, the Journal of Supercomputing, 2025, 81: 114.
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FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU
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Recommended citation: Xueyuan Gong, Zhiquan Liu, Yain-Whar Si, Xiaochen Yuan, Ke Wang, Xiaoxiang Liu, and Xinyuan Zhang*, FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
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RVAFM: Re-parameterizing Vertical Attention Fusion Module for handwritten paragraph text recognition
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Recommended citation: Jinhui Zheng, Zhiquan Liu, Yain-Whar Si, Jianqing Li, Xinyuan Zhang, Xiaofan Li, Haozhi Huang, and Xueyuan Gong*, "RVAFM: Re-parameterizing Vertical Attention Fusion Module for handwritten paragraph text recognition," Information Fusion, 2026, 125: 103491.
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supervision
Yongqi Tian
Published:
After graduation, he pursues a PhD at the Hong Kong University of Science and Technology (Guangzhou).
Jiamu Xu
Published:
After graduation, he works at China Southern Power Grid Company Limited.
Jinhui Zheng
Published:
He is currently researching loss functions in Face Recognition.
Si Zhou
Published:
She is currently researching in Knowledge Distillation in Face Recognition.
Zhuowen Zheng
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He is currently researching in Uncertainty Learning in Face Recognition.
Changpeng Hu
Published:
He is currently researching mathemetical theories in Face Recognition.
Xiangyu Deng
Published:
He is currently researching loss functions in Face Recognition.
Yongqiang Chen
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He is currently researching the fully-connected layer in Face Recognition.
Jinkang Zhu
Published:
He is currently reviewing literatures in Face Recognition.
Wenbin Wei
Published:
He is currently reviewing literatures in Face Recognition.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Software Engineering
Undergraduate Course, Jinan University, 2021
I finished teaching this course in 2022.
English for Software Engineering
Undergraduate Course, Jinan University, 2022
I finished teaching this course in 2022.
Linux Programming
Undergraduate Course, Jinan University, 2022
I finished teaching this course in 2022. This course was ranked in the top 10% within the faculty.
Natural Language Processing
Undergraduate Course, Jinan University, 2023
I finished teaching this course in 2023. This course was ranked in the top 10% within the faculty.
C++ Programming
Undergraduate Course, Jinan University, 2024
I am still teaching this course, which ranks in the top 10% within the faculty. The course is publicly available on BiliBili (in Chinese).
Machine Learning
Undergraduate Course, Jinan University, 2024
I am still teaching this course, which ranks in the top 10% within the faculty. The course is publicly available on BiliBili (in Chinese).
Machine Learning
Postgraduate Course, Jinan University, 2024
I am still teaching this course.