解煜
個人簡介
解煜，博士，中共黨員，中國人工智能學會會員，中國自動化學會會員，IEEE Member🗒。2017年9月進入同濟大學電子與意昂3娱乐直接攻博，隸屬於嵌入式系統與服務計算教育部重點實驗室及上海網絡金融安全協同創新中心。博士期間跟隨中國工程院院士、網絡金融安全領域帶頭人蔣昌俊教授一直從事機器學習、網絡交易反欺詐、金融風險防控⏏️、深度學習以及表示學習等方面的研究工作🤦，作為研究骨幹多次參與相關領域的國家級🦸🏽、省部級以及企業橫向項目。在國內外期刊與會議上發表學術論文10余篇，代表性論文發表在IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Automation Science and Engineering，IEEE Transactions on Computational Social Systems, IEEE/CAA Journal of Automatica Sinica等相關領域著名刊物上，擔任多個國際/國內期刊和會議審稿人😉。2022年9月獲得工學博士學位🌓，同年11月加入上海海事大學意昂3娱乐。
聯系方式
辦公室：意昂3娱乐405室
教育經歷
2017-09 至 2022-09, 同濟大學大學, 計算機科學與技術, 工學博士
2013-09 至 2017-06, 青島大學, 信息安全, 工學學士
發表論文
Y. Xie, G. Liu, M. Zhou(*), L. Wei, H. Zhu(*), R. Zhou and L. Cao, A Spatial–Temporal Gated Network for Credit Card Fraud Detection by Learning Transactional Representations, IEEE Transactions on Automation Science and Engineering, 2023. (1 區，CCF-B)
Y. Xie, G. Liu, C. Yan, C. Jiang(*), M. Zhou(*) and M. Li, Learning Transactional Behavioral Representations for Credit Card Fraud Detection. IEEE Transactions on Neural Networks and Learning Systems, 2022. (1 區，CCF-B)
Y. Xie, G. Liu, C. Yan, C. Jiang(*), M. Zhou(*), Time-Aware Attention-Based Gated Network for Credit Card Fraud Detection by Extracting Transactional Behaviors. IEEE Transactions on Computational Social Systems, vol. 10, no. 3, pp. 1004-1016, 2023. (2區💪🏻，CCF-C)
H. Zhu, M. C. Zhou(*), Y. Xie(*), and A. Albeshri, A self-adapting and efficient dandelion algorithm and its application to feature selection for credit card fraud detection, IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 2, pp. 1–14, Feb. 2024. (1區，通訊作者)
Y. Xie, G. Liu, M. Zhou(*), L. Wei, H. Zhu(*) and R. Zhou, A Spatial-temporal Gated Network for Credit Card Fraud Detection, 2023 IEEE International Conference on Networking, Sensing and Control (ICNSC), Marseille, France, 2023, pp. 1-6.
Y. Xie, G. Liu, R. Cao, Z. Li, C. Yan and C. Jiang(*), A Feature Extraction Method for Credit Card Fraud Detection. IEEE International Conference on Intelligent Autonomous Systems (ICoIAS), 2019, pp. 70-75.
Q. Li(*), Y. Xie(*), A Behavior-cluster Based Imbalanced Classification Method for Credit Card Fraud Detection. ACM International Conference on Data Science and Information Technology, 2019, pp. 134-139. (共一)
X. Wang, Y. Xie, X. Cheng and Z. Jiang, An Efficient Key-Aggregate Keyword Searchable Encryption for Data Sharing in Cloud Storage. 2019 IEEE Globecom Workshops (GC Wkshps), 2019, pp. 1-6.
K. Zhu, Y. Xie, P. Wang, C. Yan, A method of Evaluation for Small and Medium-sized Enterprises. ACM International Conference on Machine Learning and Computing, 2022, pp. 358–367.
R. Cao, G. Liu, Y. Xie, C. Jiang, Two-Level Attention Model of Representation Learning for Fraud Detection. IEEE Transactions on Computational Social Systems, 2021, vol. 8, no. 6, pp. 1291-1301. (CCF-C)
H. Zhu, M. Zhou, G. Liu, Y. Xie, S. Liu and C. Guo, NUS: Noisy-Sample-Removed Undersampling Scheme for Imbalanced Classification and Application to Credit Card Fraud Detection, IEEE Transactions on Computational Social Systems, 2023. (CCF-C)
H. Zhu, G. Liu, M. Zhou, Y. Xie, Q. Kang, Optimizing weighted extreme learning machines for imbalanced classification and application to credit card fraud detection. Neurocomputing, 2020, 407: 50-62. (2區Top, CCF-C)
H. Zhu, G. Liu, M. Zhou, Y. Xie, Q. Kang, A Noisy-sample-removed Under-sampling Scheme for Imbalanced Classification of Public Datasets. IFAC-PapersOnLine, 2020, 53(5): 624-629.
D. Zhu, C. Yan, M. Guang and Y. Xie, A Novel Information-Entropy-Based Feature Extraction Method for Transaction Fraud Detection, International Conference on Intelligent Autonomous Systems (ICoIAS), Wuhan, China, 2021, pp. 129-133.