牛菓
博士
副教授
中山大學(xué)
機(jī)器學(xué)習(xí)中的理論算法研究(流形學(xué)習(xí)、核學(xué)習(xí),、張量分析等方面),,以及數(shù)據(jù)降維,、分類,、無人機(jī)目標(biāo)識別與檢測等應(yīng)用研究
牛菓,,女,,副教授,,碩士生導(dǎo)師, 博士碩士畢業(yè)于中山大學(xué),本科畢業(yè)于解放軍信息工程大學(xué),。長 期致力于機(jī)器學(xué)習(xí)中流形學(xué)習(xí),、核學(xué)習(xí)、張量分析等方面的研究,,以第一作者發(fā)表與機(jī)器學(xué)習(xí)相關(guān)的學(xué) 術(shù)論文 11 篇,,申請發(fā)明專利3項(xiàng),授權(quán)1項(xiàng),。通過主持的國家自然基金項(xiàng)目“基于希爾伯特–施密特獨(dú)立 性準(zhǔn)則(HSIC)和流形學(xué)習(xí)的降維算法研究”的資助,,對流形理論,、 HSIC分析、再生核希爾伯特空間
分析,、數(shù)據(jù)降維,、域自適應(yīng)算法、圖像分類等方面展開深入研究,。同時(shí),,主持省級項(xiàng)目2項(xiàng),完成一項(xiàng) 佛山市博士啟動(dòng)項(xiàng)目,。參與省重點(diǎn),、省市級項(xiàng)目5項(xiàng),。目前所在電信學(xué)院計(jì)算機(jī)視覺與智能計(jì)算團(tuán)隊(duì),,
組內(nèi)研究方向多元化,課題靈活,,組內(nèi)研究氛圍輕松,,并充分鼓勵(lì)討論與合作,歡迎對計(jì)算機(jī)視覺感興 趣的同學(xué)加入,!
[1] 主持 2020 年國家自然科學(xué)基金項(xiàng)目-青年項(xiàng)目,,在研,2021.01 –2023.12,。
[2] 主持2022年廣東省粵佛聯(lián)合基金項(xiàng)目-區(qū)域項(xiàng)目,,在研,2022.10 –2025.9,。
[3] 主持2019年廣東省粵佛聯(lián)合基金項(xiàng)目-青年項(xiàng)目,,結(jié)題中,2020.01 –2022.12,。
[4] 主持2018年佛山高層次人才-博士啟動(dòng)項(xiàng)目,,已結(jié)題,2018.01 –2020.12,。
[1] Guo Niu, ZhengmingMa,and Shuyu Liu,A Multikernel-Like Learning Algorithm Based on Data Probability Distribution, Mathematical Problems in Engineerin, 2016 (SCI).
[2] Guo Niu, ZhengmingMa,and Shaogao lv, Ensemble multiple-kernel based manifold regularization, Neural Processing Letters, 2017 (SCI).
[3] Guo Niu, Zhengming, Ma, Local non-linear alignment for non-linear dimensionality reduction, IET Computer Vision, 2017. (SCI)
[4] Guo Niu , Meikang Qiu,and Yanchun Gu,Kernel Learning Method on Riemannian Manifold with Geodesic Distance Preservation,the 4th IEEE International Conference on Big Data Security on
Cloud, 2018.
[5] Guo Niu and Zhikui Duan, Inner Product Optimization for Effective Multiple KernelLearning, IOP Conf. Series: Earth and Environmental Science (2019).
[6] Guo Niu, Yanchun Gu, and Zhikui Duan, Semi-Supervised Learning Based on Local Adaptive Kernels,
2019 IEEE Smart World Congress (SmartWorld 2019), Leicester, United Kingdom, 2019
[7] Guo Niu and ZhengmingMa, Tensor Dimensionality Reduction via Mode Product and HSIC, IET Image Processing, 2021, (SCI)DOI: 10.1049/ipr2.12285
[8] Guo Niu and ZhengmingMa, Local Quasi-Linear Embedding Based on Kronecker Product Expansion of Vectors, Journal of Intelligent & Fuzzy Systems , 2021 .
[9] Guo Niu, ZhengmingMa, HaoQing Chen, and Xu, Su, Polynomial approximation to manifold learning, Journal of Intelligent and Fuzzy Systems,DOI:10.3233/JIFS-200202, 2021
[10] Guo Niu and ZhengmingMa, Tensor local linear embedding with global subspace projection optimisation, IET Computer Vision, DOI:10.1049/cvi2.12083, 2022.
[11] Guo Niu and ZhengmingMa, Local homeomorphism regularized non-negative Tucker decomposition of tensor data, Journal of Intelligent and Fuzzy Systems, DOI:10.3233/JIFS-220785, 2022