井长兴

姓名：井长兴

政治面貌：群众

最后学位：博士

岗位职称：讲师

研究领域：机器学习、表示学习、联邦学习

办公室：位育楼402室

Email：270728@nau.edu.cn

通讯地址：南京市浦口区雨山西路86号

邮编：211815

教育经历：

2018.09-2023.09   厦门大学  信号与信息处理专业  工学博士

2015.09-2018.06   中国计量大学  控制工程专业         工学硕士

2010.09-2012.06    淮阴师范学院  电子信息工程专业 工学学士

工作经历：

2024.08-至今 南京审计大学澳门bet356体育在线官网讲师

2013.01-2014.05南京六九零二科技有限公司软件工程师

代表性期刊/会议论文

[1]. Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Zhenlong Xiao, Yue Huang, Xinghao Ding. Exploring Personalization via Federated Representation Learning on Non-IID Data[J]. Neural Networks, 2023, 163: 354-366. (中科院SCI 1区Top期刊)

[2]. Changxing Jing, Lexing Huang, Senlin Cai, Yihong Zhuang, Zhenlong Xiao, Yue Huang, Xinghao Ding. Interclass Similarity Transfer for Imbalanced Aerial Scene Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 1-5. (中科院SCI 2区)

[3]. Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou. Hard Class Rectification for Domain Adaptation[J]. Knowledge-Based Systems, 2021, 222: 107011. (中科院SCI 1区Top期刊)

[4]. Haote Xu, Yunlong Zhang, Xiaolu Chen, Changxing Jing, Liyan Sun, Yue Huang, Xinghao Ding. AFSC: Adaptive Fourier Space Compression for Anomaly Detection[J]. IEEE Transactions on Industrial Informatics, 2024.  (中科院SCI 1区Top期刊)

[5]. Changxing Jing, Dongping Zhang, Peiqing Ni, Kun Zhang, Li Yang. Difference Networks and Second-order Difference Networks[C]//International Conference on Systems and Informatics.2017: 1373-1377.

[6]. Yihong Zhuang, Changxing Jing, Senlin Cai, Lexing Huang, Yue Huang, Xiaotong Tu, Xinghao Ding. A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition[C]//International Conference on Neural Information Processing. 2022: 110-121. (Oral，CCF-C类国际会议)

[7]. Lexing Huang, Senlin Cai, Yihong Zhuang, Changxing Jing, Yue Huang, Xiaotong Tu, Xinghao Ding. A Two-Stage Contrastive Learning Framework for Imbalanced Aerial Scene Recognition[C]//International Conference on Acoustics, Speech and Signal Processing. 2022: 3518-3522. (CCF-B类国际会议)

参与项目情况：

[1]. 国防科技基础加强计划项目（173重点项目）基于 *** 探测目标智能识别研究 （涉密项目）2020.11–2023.01参与

[2]. 国家自然科学基金面上项目 面向水下光学图像目标检测与识别的轻量级深度学习模型研究项目号：61971369，2020.01–2022.12参与