教育及工作經(jīng)歷
2014年3月由中國(guó)海洋大學(xué)"青年英才工程" (第三層次) 項(xiàng)目引進(jìn)
2011.10-2013.7: 博士后, 導(dǎo)師: Mohamed Cheriet教授, 魁北克大學(xué)高技術(shù)學(xué)院, 蒙特利爾, 加拿大
2011.2-2011.5: 實(shí)習(xí)研究員,中國(guó)三星技術(shù)院, 北京, 中國(guó)
2009.9-2010.1: 訪問(wèn)學(xué)生, 導(dǎo)師: Dit-Yan Yeung教授,香港科技大學(xué), 香港, 中國(guó)
2007.9-2011.7: 工學(xué)博士, 導(dǎo)師: 劉成林研究員, 中國(guó)科學(xué)院自動(dòng)化研究所, 北京, 中國(guó)
2004.9-2007.7: 理學(xué)碩士, 導(dǎo)師: 孟大志教授,北京工業(yè)大學(xué), 北京, 中國(guó)
2000.9-2004.7: 理學(xué)學(xué)士,河北師范大學(xué), 石家莊, 中國(guó)
2015.1至今: 中國(guó)計(jì)算機(jī)學(xué)會(huì)會(huì)員, ACM會(huì)員, IEEE會(huì)員
2014.11至今: 中國(guó)人工智能學(xué)會(huì)會(huì)員, 中國(guó)人工智能學(xué)會(huì)模式識(shí)別專業(yè)委員會(huì)委員
研究方向
人工智能, 模式識(shí)別和機(jī)器學(xué)習(xí), 特別是深度學(xué)習(xí), 相關(guān)的理論與算法及其在圖像處理, 文檔分析, 數(shù)據(jù)挖掘中的應(yīng)用研究.
科研項(xiàng)目
3. 深度小波網(wǎng)絡(luò)模型及其應(yīng)用研究, 模式識(shí)別國(guó)家重點(diǎn)實(shí)驗(yàn)室開(kāi)放課題基金項(xiàng)目, 項(xiàng)目主持人, 2015.1 -- 2016.12.
2. 監(jiān)督的深度學(xué)習(xí)算法及其在海洋環(huán)境數(shù)據(jù)分析中的應(yīng)用, 國(guó)家自然科學(xué)基金青年基金項(xiàng)目(NSFC), 項(xiàng)目主持人, 2015.1 -- 2017.12.
1. 深度學(xué)習(xí)和大規(guī)模數(shù)據(jù)挖掘算法及其應(yīng)用研究, 中央高校基本科研業(yè)務(wù)費(fèi)專項(xiàng)項(xiàng)目, 項(xiàng)目主持人, 2014.3 -- 2019.2.
論文專利
[J5] Partha Roy, Guoqiang Zhong, Mohamed Cheriet: Tandem HMMs using Deep Belief Networks for Offline Handwriting Recognition. Pattern Recognition Letter (under review).
[J4] Guoqiang Zhong, Mohamed Cheriet: Tensor representation learning based image patch analysis for text identification and recognition. Pattern Recognition 48(4) : 1207-1220 (2015).
[J3] Guoqiang Zhong, Mohamed Cheriet: Large margin low rank tensor analysis. Neural Computation 26(4) : 761-780 (2014).
[J2] Guoqiang Zhong, Cheng-Lin Liu: Error-correcting output codes based ensemble feature extraction. Pattern Recognition 46(4): 1091-1100 (2013).
[J1] Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Joint learning of error-correcting output codes and dichotomizers from data. Neural Computing and Applications 21(4): 715-724 (2012).
[C10] Guoqiang Zhong, Sheng Li, Yun Fu: Scalable large margin online metric learning. (under review).
[C9] Yuchen Zheng, Guoqiang Zhong, Jun Liu, Xiaoxu Cai, Junyu Dong: Visual Texture Perception with Feature Learning Models and Deep Architectures. CCPR 2014.
[C8] Guoqiang Zhong, Mohamed Cheriet: An empirical evaluation of supervised dimensionality reduction for recognition. ICDAR 2013.
[C7] Guoqiang Zhong, Mohamed Cheriet: Adaptive error-correcting output codes. IJCAI 2013.
[C6] Guoqiang Zhong, Mohamed Cheriet: Image patches analysis for text block identification. ISSPA 2012: 1241-1246.
[C5] Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Low rank metric learning with manifold regularization. ICDM 2011: 1266-1271.
[C4] Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu: Gaussian process latent random field. AAAI 2010.
[C3] Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Learning ECOC and dichotomizers jointly from data. ICONIP (1) 2010: 494-502.
[C2] Guoqiang Zhong, Xinwen Hou, Cheng-Lin Liu: Relative distance-based Laplacian eigenmaps. CJKPR, 2009.
[C1] Guoqiang Zhong, Lina Wang, Dazhi Meng: The differential geometrical method of modifying SVM and its application in Intron-Extron classification. CCPR, 2007.
[BC3] Guoqiang Zhong, Mohamed Cheriet: Low Rank Tensor Manifold Learning. Low-Rank and Sparse Modeling for Visual Analysis, 2014.
[BC2] Mohamed Cheriet, Reza Farrahi Moghaddam, Ehsan Arabnejad Guoqiang Zhong: Manifold learning for the shape-based recognition of historical Arabic documents. Handbook of Statistics: Applications of Machine Learning, 2012.
[BC1] Guoqiang Zhong, Kaizhu Huang, Xinwen Hou, Shiming Xiang: Local tangent space Laplacian eigenmaps. Computational Intelligence, 2012.
Jx: 期刊 x; Cx: 會(huì)議 x; BCx: 書(shū)的章節(jié) x.
