杨洪伟科研成果

基本信息 论文专著 教育教学 科学研究 新建主栏目 基本信息 名称 杨洪伟，男，汉族，工学博士，哈尔滨工业大学助理研究员。主要研究方向：迁移学习、联邦学习、隐私计算、数据安全与隐私保护。 学术论文 名称 [1] He Hui, Yang Hongwei, Zhang Weizhe, Wang Yan, Zou Zhaonian, Li Tao. MSDS: A Novel Framework for Multi-Source Data Selection Based Cross-Network Node Classification[J]. IEEE Transactions on Knowledge and Data Engineering, 2023. (CCF A类期刊) [2] Lu Renhao, Zhang Weizhe, Wang Yan, Li Qiong, Zhong Xiao Xiong, Yanghongwei, Wang Desheng. Auction-based cluster federated learning in mobile edge computing systems[J]. IEEE Transactions on Parallel and Distributed Systems, 2023, 34(4): 1145-1158. (CCF A类期刊) [3] Yang Hongwei, He Hui, Zhang Weizhe, Yawen Bai. MTGK: Multi-source cross-network node classification via transferable graph knowledge[J]. Information Sciences, 2022, 589: 395-415. (CCF B类期刊) [4] Yang Hongwei, He Hui, Zhang Weizhe, Cao Xiaochun. FedSteg: A federated transfer learning framework for secure image steganalysis[J]. IEEE Transactions on Network Science and Engineering, 2020, 8(2): 1084-1094. (JCR一区期刊) [5] Yang Hongwei, He Hui, Zhang Weizhe, Bai Yawen, Li Tao. Lie group manifold analysis: an unsupervised domain adaptation approach for image classification[J]. Applied Intelligence, 2022, 52(4): 4074-4088. (CCF C类期刊) [6] Yang Hongwei, He Hui, Li Tao, Bai Yawen, Zhang Weizhe. Multi‐metric domain adaptation for unsupervised transfer learning[J]. IET Image Processing, 2020, 14(12): 2780-2790. (CCF C类期刊) [7] Yang Hongwei, He Hui, Zhang Weizhe, Li Tao. MHCNC: A Novel Framework for Multi-Source Heterogeneous Cross-Network Node Classification[C]//2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2021: 1-6. (CCF C类会议) 通用模版 名称 研究生《组合数学》