Comparison of Subsequence Pattern Matching Methods for Financial Time Series. - Xueyuan Gong; Yain-Whar Si (CIS, 2013)

Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals. - Xueyuan Gong; Simon Fong 001; Yain-Whar Si; Robert P. Biuk-Aghai; Raymond K. Wong 001; Athanasios V. Vasilakos (PAKDD Workshops, 2016)

Effect of segmentation on financial time series pattern matching. - Yuqing Wan; Xueyuan Gong; Yain-Whar Si (Appl. Soft Comput., 2016)

Financial time series pattern matching with extended UCR Suite and Support Vector Machine. - Xueyuan Gong; Yain-Whar Si; Simon Fong 001; Robert P. Biuk-Aghai (Expert Syst. Appl., 2016)

NSPRING: the SPRING extension for subsequence matching of time series supporting normalization. - Xueyuan Gong; Simon Fong 001; Jonathan H. Chan; Sabah Mohammed (J. Supercomput., 2016)

Discovering sub-patterns from time series using a normalized cross-match algorithm. - Xueyuan Gong; Simon Fong 001; Raymond K. Wong 001; Sabah Mohammed; Jinan Fiaidhi; Athanasios V. Vasilakos (J. Supercomput., 2016)

Fast multi-subsequence monitoring on streaming time-series based on Forward-propagation. - Xueyuan Gong; Simon Fong 001; Yain-Whar Si (Inf. Sci., 2018)

Comparative Research of Swam Intelligence Clustering Algorithms for Analyzing Medical Data. - Xueyuan Gong; Liansheng Liu; Simon Fong 001; Qiwen Xu; Tingxi Wen; Zhihua Liu (IEEE Access, 2019)

Fast fuzzy subsequence matching algorithms on time-series. - Xueyuan Gong; Simon Fong 001; Yain-Whar Si (Expert Syst. Appl., 2019)

Correction to "Comparative Research of Swarm Intelligence Clustering Algorithms for Analyzing Medical Data". - Xueyuan Gong; Liansheng Liu; Simon Fong 001; Qiwen Xu; Tingxi Wen; Zhihua Liu (IEEE Access, 2020)

Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition. - Jialin Tang; Qinglang Su; Binghua Su; Simon Fong 001; Wei Cao; Xueyuan Gong (Comput. Methods Programs Biomed., 2020)

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)

GIU-GANs: Global Information Utilization for Generative Adversarial Networks. - Yongqi Tian; Xueyuan Gong; Jialin Tang; Binghua Su; Xiaoxiang Liu; Xinyuan Zhang (Neural Networks, 2022)

X2-Softmax: Margin Adaptive Loss Function for Face Recognition. - Jiamu Xu; Xiaoxiang Liu; Xinyuan Zhang; Yain-Whar Si; Xiaofan Li 001; Zheng Shi 001; Ke Wang; Xueyuan Gong (CoRR, 2023)

Transaction-aware inverse reinforcement learning for trading in stock markets. - Qizhou Sun; Xueyuan Gong; Yain-Whar Si (Appl. Intell., 2023)

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)

X2-Softmax: Margin adaptive loss function for face recognition. - Jiamu Xu; Xiaoxiang Liu; Xinyuan Zhang; Yain-Whar Si; Xiaofan Li 001; Zheng Shi 001; Eric Ke Wang; Xueyuan Gong (Expert Syst. Appl., 2024)

Collaborative learning with normalization augmentation for domain generalization in time series classification. - Qi-Qiao He; Xueyuan Gong; Yain-Whar Si (J. Supercomput., 2025)

AdaSin: Enhancing Hard Sample Metrics with Dual Adaptive Penalty for Face Recognition. - Qiqi Guo; Zhuowen Zheng; Guanghua Yang; Zhiquan Liu; Xiaofan Li 001; Jianqing Li 001; Jinyu Tian 001; Xueyuan Gong (CoRR, 2025)

MSConv: Multiplicative and Subtractive Convolution for Face Recognition. - Si Zhou; Yain-Whar Si; Xiaochen Yuan; Xiaofan Li 001; Xiaoxiang Liu; Xinyuan Zhang; Cong Lin; Xueyuan Gong (CoRR, 2025)

AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU. - Zhuowen Zheng; Yain-Whar Si; Xiaochen Yuan; Junwei Duan; Ke Wang; Xiaofan Li 001; Xinyuan Zhang; Xueyuan Gong (CoRR, 2025)

RVAFM: Re-parameterizing Vertical Attention Fusion Module for handwritten paragraph text recognition. - Jinhui Zheng; Zhiquan Liu; Yain-Whar Si; Jianqing Li 001; Xinyuan Zhang; Xiaofan Li 001; Haozhi Huang 005; Xueyuan Gong (Inf. Fusion, 2026)