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人工智能— 龚雪沅

2025-03-26

智能科学与工程学院


 

1.个人简介

龚雪沅博士,毕业于澳门大学,现为暨南大学智能科学与工程学院/人工智能产业学院讲师。近五年在 Expert Systems with Applications、Neural Networks、Information Sciences 等高水平期刊和会议上发表了多篇学术论文,主持多项省市级科研项目。担任Pattern Recognition、Expert Systems with Applications、Neural Networks、Applied Soft Computing、Information Sciences Neurocomputing 等多个国际期刊的审稿人,并受邀担任IEEE Journal of Biomedical and Health Informatics 期刊的客座编辑。此外,曾担任CAIT 2024 会议的分会主席。

研究主要聚焦于人脸识别,专注于深度学习领域的模型、损失函数及优化算法,致力于探索其核心理论和内在机理。研究生小组每年招收若干学术型硕士和专业型硕士,组内注重学术创新和高水平论文发表,欢迎对上述研究方向感兴趣、具备科研热情,并有志于未来攻读博士和从事学术研究的同学报考。数学和编程能力突出的同学将被优先考虑。

 

2.教育背景

计算机科学博士,澳门大学(2019)

计算机科学硕士,澳门大学(2014)

软件应用学士,澳门科技大学(2011)

 

3.工作经历

2020.1-至今   讲师  暨南大学智能科学与工程学院

2019.02-2020.01 讲师  北京理工大学珠海学院信息学院智能科学系

2014.09-2019.01 博士期间兼职研究助理(Researching Assistant)  澳门大学数据分析与协同计算(Data Analytics and Collaborative Computing)实验室

2011.09-2014.09 硕士期间兼职研究助理(Researching Assistant)  澳门大学数据分析与协同计算(Data Analytics and Collaborative Computing)实验室

 

4.研究方向

人脸识别,机器学习,深度学习

  

5.主要成果

期刊论文

1. Xueyuan Gong, Zhiquan Liu, Yain-Whar Si, Xiaochen Yuan, Ke Wang, Xiaoxiang Liu, Cong Lin, and Xinyuan Zhang*, FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU, arXiv:2404.11118(投稿至IEEE Transactions on Circuits and Systems for Video Technology审稿中)

2. Zhuowen Zheng, Yain-Whar Si, Xiaochen Yuan, Junwei Duan, Ke Wang, Xiaofan Li, Xinyuan Zhang, and Xueyuan Gong*, AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU, arXiv:2503.06839.(投稿至Pattern Recognition大修中)

3. 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, arXiv:2503.03104. (投稿至Information Fusion审稿中)

4. Si Zhou, Yain-Whar Si, Xiaochen Yuan, Xiaofan Li, Xiaoxiang Liu, Xinyuan Zhang, Cong Lin, and Xueyuan Gong*, MSConv: Multiplicative and Subtractive Convolution for Face Recognition, arXiv:2503.06187.(投稿至Expert Systems With Applications大修中)

5. Qiqi Guo, Zhuowen Zheng, Guanghua Yang, Zhiquan Liu, Xiaofan Li, Jianqing Li, Jinyu Tian, Xueyuan Gong*, AdaSin: Enhancing Hard Sample Metrics with Dual Adaptive Penalty for Face Recognition, arXiv:2503.03528(投稿至Applied Soft Computing审稿中)

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. Kun Lan, Jianqiang Zhou*, Xiaoliang Jiang, Jun Wang, Shigao Huang, Jie Yang, Qun, Song, Rui Tang, Xueyuan Gong, KexingLiu, Yaoyang Wu, and Tengyue Li, Group Theoretic Particle Swarm Optimization for Multi-level Threshold Lung Cancer Image Segmentation, Quantitative Imaging in Medicine and Surgery (QIMS), 2022.

12. 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.

13. Xueyuan Gong*, Simon Fong, and Yain-Whar Si, Fast Fuzzy Subsequence Matching on Time-series,  Expert Systems with Applications, 2019, 116: 275-284.

14. 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.

15. 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.

16. 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.

17. 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.

18. Yuqing Wan, Xueyuan Gong, and Yain-Whar Si*, Effect of Segmentation on Financial Time Series Pattern Matching, Applied Soft Computing, 2016, 38: 346-359.

 

会议论文

1. Xueyuan Gong, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Raymod K. Wong, and Athanasios V. Vasilakos, Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals, Proceedings of the 20th Pacific Asia Conference on Knowledge Discovery and Data Mining Workshop (PAKDD Workshop), 2016.

2. Xueyuan Gong, Yain-Whar Si, Simon Fong, and Sabah Mohammed, NSPRING: Normalization-supported SPRING for subsequence matching on time series streams, the 15th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), pp. 373-378, 2014.

3. Xueyuan Gong, and Yain-Whar Si, Comparison of Subsequence Pattern Matching Methods for Financial Time Series, the 9th International Conference on Computational Intelligence and Security (CIS), pp. 154-158, 2013.

 

专利

1. 何子炎, 魏依琳, 陈想, 廖知非, 刘晓翔, 龚雪沅, 林聪, 基于TSD和遗传算法的和弦匹配方法、装置、电子装置及存储介质[P]. CN118135976A, 2024.06.04. (申请)

2. 何子炎, 魏依琳, 陈想, 廖知非, 张鑫源, 龚雪沅, 林聪, 基于LSTM的和弦旋律生成方法、装置、电子装置及介质[P]. CN117690399A, 2024.03.12. (申请)

3. 张桦坚, 张智尧, 江元豪, 陈洋凯, 林桢官, 魏文彬, 刘晓翔, 林聪, 张明亮, 龚雪沅, 张鑫源, 基于实例分割的影像辅助诊断方法、装置和存储介质[P]. CN117437189A, 2024.01.23. (申请)

4. 张鑫源, 董佳奇, 刘晓翔, 林聪, 龚雪沅, 基于协同演化算法的非侵入式负荷监测方法及存储介质[P]. CN117114236A, 2023.11.24. (申请)

5. 张鑫源,陈浩泷,刘晓翔,林聪,龚雪沅, 基于遗传算法的进程映射优化方法、装置及存储介质[P], CN116954903A, 2023.10.27. (申请)

6. 张鑫源,杨锦浩,刘晓翔,林聪,龚雪沅, 基于大规模协同遗传算法的残片复原方法及存储介质[P], CN116934628A, 2023.10.24. (申请)

7. 林聪,张鑫源,龚雪沅,刘晓翔,陈海佳,陈建星,俞天秀,王春雪,周颜林, 基于语义边缘模型的线描稿生成方法、装置和存储介质[P]. CN116681799A, 2023.09.01. (申请)

8. 张鑫源,何子炎,张桦坚,黄启睿,蓝鑫,贾镇纲,刘晓翔,林聪,龚雪沅, 基于YOLOV5 算法的拾球机控制方法、装置及存储介质[P], CN116630864A, 2023.08.22. (申请)

9. 周壮, 唐佳林, 苏秉华, 龚雪沅, 冯雅晴, 盛一成, 杨昊, 王腾辉. 基于多尺度融合的水下图像修复方法、装置、设备及介质[P]. CN112330548A, 2021.02.05.

10. 冯雅晴, 唐佳林, 苏秉华, 苏清朗, 龚雪沅, 周壮, 曹炜. 一种点云配准方法、系统、装置和存储介质[P]. CN111553936A, 2020.08.18.

11. 唐佳林, 杨沛霖, 苏秉华, 杨聚庆, 龚雪沅, 曹炜, 冯雅晴. 基于枝切法的三维立体重构方法、系统和存储介质[P]. CN111028334A, 2020.04.17.

12. 唐佳林, 杨沛霖, 苏秉华, 孙鲁, 杨聚庆, 曹炜, 王玉珂, 龚雪沅. 基于自填零枝切法的三维立体重构方法、系统和存储介质[P]. CN110363842A, 2019.10.22.

13. 王涵, 孔晶, 闫骏, 龚雪沅. 一种商业分析管理推荐预测模型的方法及系统[P]. CN109801094A, 2019.05.24.

 

6.科研/教改项目

1. “面向大规模长尾数据的人脸识别模型研究及其应用,” 2022A515110020, 广东省基础与应用基础研究基金省市联合基金,2023-2025, 主持

2. “针对目标检测任务的压缩深度网络模型的研究,” 202201010476, 广州市科技计划项目, 2022-2024, 主持

3. “无线电混叠频谱未知信号一体化深度识别技术研究”, 62271232, 国家自然科学基金面上项目, 2023-2026, 参与.

4. “针对《C++程序设计》课程中指针的形式化图解语言设计,” 82622390, 暨南大学教学质量与教学改革工程教学改革研究项目, 2023-2024, 主持

5. “人脸识别中基于深度度量学习的网络模型结构研究,” 21621017, 暨南大学中央高校基本科研业务费青年基金(自然科学类)项目, 2021-2023, 主持

6. “基于深度学习模型对于点云配准问题的研究,” 2019KQNCX194, 广东高校省级重点平台和重大科研项目-青年创新人才类项目(自然科学), 2019-2021, 主持

7. “口岸人脸识别系统项目,” HX-2019-034, 珠海电子口岸管理有限公司, 2019-2020, 参与

8. “Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest (iOVFDF),” MYRG2015-00128-FST, the Research Committee of University of Macau, 2016-2018, 参与

9. “Adaptive OVFDT with Incremental Pruning and ROC Corrective Learning for Data Stream Mining,” MYRG073(Y1-L2)-FST12, the Research Committee of University of Macau, 2013-2015, 参与

 

7.指导学生

指导硕士研究生8名,其中1人毕业后于香港科技大学(广州)读博;在读硕士研究生7名,1人Expert Systems With Applications 期刊发表论文1篇

 

8.主讲课程

现期课程

机器学习(2024年线上地址:https://www.bilibili.com/video/BV13ppuebEJG/

C++程序设计(2024年线上地址:https://www.bilibili.com/video/BV1JTHxeDEof/

往期课程

Linux高级编程,自然语言处理,软件工程专业英语,软件工程,C语言程序设计,Java程序设计,Python程序设计,Linux操作系统,工程项目管理

 

9.学术兼职

IEEE Journal of Biomedical and Health Informatics客座编辑

Pattern Recognition审稿人

Neural Networks审稿人

Applied Soft Computing审稿人

Expert Systems with Applications审稿人

Information Sciences审稿人

Neurocomputing审稿人

CAIT2024会议分会主席

 

10.通信地址

广东省珠海市前山路206号暨南大学珠海校区行政楼6楼

E-mail: xygong@jnu.edu.cn

 


广东省珠海市前山路206号 邮编:519070