Biography

🎓 Education

• Ph.D. in Computer Sciences, University of Macau, 2019
• M.S. in Computer Sciences, University of Macau, 2014
• B.S. in Software Engineering, Macau University of Science and Technology, 2011

💼 Work Experience

• 2020–Present: Jinan University
      Assistant Professor

🔬 Research Interests

• Pattern Recognition
  • Face Recognition
  • Person Re-identification
• Deep Learning
  • Deep Neural Networks
  • Loss Functions
  • Optimization Algorithms

🏆 Grants

• Pursue learning, undertake responsibilities, and cultivate character—Striving to Be a “Da Xiansheng” in the New Era, YDXS2409, the Jinan University “Da Xiansheng” Training Program, 2024-2025, PI.
• Research and Application of Face Recognition Models for Large-Scale Long-Tail Data, 2022A515110020, Guangdong Basic and Applied Basic Research Foundation, 2023-2025, PI.
• Research on Compressed Deep Network Models for Object Detection Tasks, 202201010476, Guangzhou Science and Technology Program Project, 2022–2024, PI (Completed).
• Research on Integrated Deep Recognition Technology for Unknown Signals in Radio Aliased Spectrum, 62271232, National Natural Science Foundation of China, 2023–2026, Co-PI.
• Design of a Formalized Diagrammatic Language for Pointers in the C++ Programming Course, JG2022080, Jinan University Teaching Reform Research Project, 2023–2024, PI (Completed).
• Research on Network Model Structures Based on Deep Metric Learning in Face Recognition, 21621017, Young Scientists Fund under the Fundamental Research Funds for the Central Universities, 2021–2023, PI (Completed).
• Research on Point Cloud Registration Problems Based on Deep Learning Models, 2019KQNCX194, Guangdong Provincial Key Platforms and Major Scientific Research Projects–Young Innovative Talents Program, 2019–2021, PI (Completed).

📚 Publications

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.
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, 2025, early access.
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, 2025, 81: 114.
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.
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.
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.
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.
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.
Xueyuan Gong*, Simon Fong, and Yain-Whar Si, Fast Fuzzy Subsequence Matching on Time-series , Expert Systems with Applications, 2019, 116: 275-284.
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.
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.
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.
Yuqing Wan, Xueyuan Gong, and Yain-Whar Si*, Effect of segmentation on financial time series pattern matching , Applied Soft Computing, 2016, 38: 346-359.
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.

🛡️ Patents

• Xinyuan Zhang, Jinhao Yang, Xiaoxiang Liu, Cong Lin, Xueyuan Gong. Fragment Restoration Method and Storage Medium Based on Large-Scale Collaborative Genetic Algorithm [P], CN2023109654217, Aug. 4, 2023. (Pending)
• Xinyuan Zhang, Haolong Chen, Xiaoxiang Liu, Cong Lin, Xueyuan Gong. Process Mapping Optimization Method, Device, and Storage Medium Based on Genetic Algorithm [P], CN2023109170581, Jul. 25, 2023. (Pending)
• Xinyuan Zhang, Ziyan He, Huajian Zhang, Qirui Huang, Xin Lan, Zhengang Jia, Xiaoxiang Liu, Cong Lin, Xueyuan Gong. Ball-Collecting Robot Control Method, Device, and Storage Medium Based on YOLOv5 Algorithm [P], CN2023107000317, Jun. 14, 2023. (Pending)
• Cong Lin, Xinyuan Zhang, Xueyuan Gong, Xiaoxiang Liu, Haijia Chen, Jianxing Chen, Tianxiu Yu, Chunxue Wang, Yanlin Zhou. Line Drawing Generation Method, Device, and Storage Medium Based on Semantic Edge Model [P], CN2023106125866, May 29, 2023. (Pending)
• Zhuang Zhou, Jialin Tang, Binghua Su, Xueyuan Gong, Yaqing Feng, Yicheng Sheng, Hao Yang, Tenghui Wang. Underwater Image Restoration Method, Device, Equipment, and Medium Based on Multi-Scale Fusion [P], CN112330548A, Feb. 5, 2021.
• Yaqing Feng, Jialin Tang, Binghua Su, Qinglang Su, Xueyuan Gong, Zhuang Zhou, Wei Cao. Point Cloud Registration Method, System, Device, and Storage Medium [P], CN111553936B, Aug. 18, 2023.
• Jialin Tang, Peilin Yang, Binghua Su, Juqing Yang, Xueyuan Gong, Wei Cao, Yaqing Feng. 3D Reconstruction Method, System, and Storage Medium Based on Branch-Cut Method [P], CN111028334A, Apr. 17, 2020.
• Jialin Tang, Peilin Yang, Binghua Su, Lu Sun, Juqing Yang, Wei Cao, Yuke Wang, Xueyuan Gong. 3D Reconstruction Method, System, and Storage Medium Based on Self-Zero-Filling Branch-Cut Method [P], CN110363842A, Oct. 22, 2019.

👨‍🏫 Teaching

Course Currently Taught

Machine Learning , Postgraduate Course, Jinan University, 2024.
Machine Learning , Undergraduate Course, Jinan University, 2024.
C++ Programming , Undergraduate Course, Jinan University, 2024.

Course Previously Taught

Natural Language Processing , Undergraduate Course, Jinan University, 2023.
Linux Programming , Undergraduate Course, Jinan University, 2022.
English for Software Engineering , Undergraduate Course, Jinan University, 2022.
Software Engineering , Undergraduate Course, Jinan University, 2021.

👨‍🎓 Supervision

Master's Student

Wenbin Wei , graduate in 2028.
Jinkang Zhu , graduate in 2028.
Yongqiang Chen , graduate in 2027.
Xiangyu Deng , graduate in 2027.
Changpeng Hu , graduate in 2027.
Zhuowen Zheng , graduate in 2026.
Si Zhou , graduate in 2026.
Jinhui Zheng , graduate in 2026.

Master's Alumni

Jiamu Xu , graduate in 2025.
Yongqi Tian , graduate in 2022.

🤝 Academic Services

• Reviewer for Pattern Recognition, Applied Soft Computing, ESWA, Neurocomputing, Neural Networks, Information Sciences, etc.
• Track Chair for CAIT2025, CINT2025, and CAIT2024.
• Guest Editor for a special issue of JBHI.