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个人简介：Personal Profile 谢晋，理学博士，副教授，硕导。发表学术论文28篇，专利4项。获2022年陕西省优秀博士学位论文、2022年陕西省第十二届基础教育教学成果奖一等奖、2021年陕西省数学会优秀青年论文二等奖、入选2024年西电“小米青年学者”。主持国家自然科学基金青年基金1项、博士后特别资助项目（站中）1项、基本科研业务费自由探索类重点项目1项、浙江省基础公益联合基金1项、四川九洲集团横向项目子项目3项、中船重工716研究所横向项目1项。担任“西电-九洲”先进计算联合实验室副主任。研究方向神经网络与机器学习；分布式优化与学习；多模态信息融合（项目需求）；代表成果Xie J, Chen J, Li J, Chen W, Zhang S. (2023) Consensus control for heterogeneous uncertain multi-agent systems with hybrid nonlinear dynamics via iterative learning algorithm, Science China Technological Sciences, 2023，DOI：10.1007/s11431-023-2411-2.Xie J, Liu S, Chen J, Gao W, Li H, Xiong R. (2022) A finite time discrete distributed learning algorithm using stochastic configuration network, Information Sciences, 2022, 587:556–571.Xie J, Liu S, Dai H, Rong Y. (2020) Distributed Semi-Supervised Learning Algorithms for Random Vector Functional-Link Networks with Distributed Data Splitting across Samples and Features. Knowledge Based Systems. 2020:105577.Xie J, Liu S, Dai H (2019) A Distributed Semi-supervised Learning Algorithm Based on Manifold Regularization Using Wavelet Neural Network. Neural Networks. 118:300-309.Xie J, Chen W, Dai H (2019). Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme. Neural Networks. 119:261-272.学术主页：https://scholar.google.com/citations?user=z7gFHJYAAAAJ&hl=zh-CN