李鄉儒

李鄉儒，男，博士，華南師範大學數學科學學院教授，博士生導師。

基本介紹

• 中文名：李鄉儒
• 出生地：山東省濰坊市
• 畢業院校：中國科學院自動化研究所
• 學位/學歷：博士
• 職業：教師
• 專業方向：機器學習及其套用、套用統計、機器學習與數學教育、計算機視覺
• 就職院校：華南師範大學, 數學科學學院

個人經歷

工作經歷

2009.07 - 華南師範大學, 數學科學學院

2017.08 - 2018.08 Statistics Department, Pennsylvania State University

2012.11 - 2013.11 Department of Electrical and Computer Engineering, University of Windsor

2006.07 - 2009.04 山東科技大學, 信息與電氣工程學院

2003.07 - 2006.05 中創軟體工程股份有限公司，金融事業部

學習經歷

2003.09 - 2006.07 博士研究生 中國科學院自動化研究所

1997.09 - 2000.06 碩士研究生 吉林大學

1993.09 - 1997.07 大學 山東師範大學

教學內容

機器學習、算法設計與分析、程式設計語言、貝葉斯學習、深度學習

學術成果

科研項目

線上學習行為分析及其在個性化教育中的套用。大學生創新創業訓練項目, 2020-2021 (校級, 指導教師)

LAMOST恆星光譜的動態特徵評價、自適應波段最佳化選擇及其在參數測量中的套用。國家自然科學基金面上項目, 2020.01-2023.12。

基於深度神經網路的貝葉斯特徵選擇模型、算法 及其套用研究。廣東省自然科學基金，2019.10-2022.09

線上自主學習者畫像及其個性化推薦的算法研究及套用。大學生創新創業訓練項目, 2019-2020 (國家級, 指導教師)

智慧型數據挖掘學習平台的設計與開發。大學生創新創業訓練項目, 2019-2020 (校級, 指導教師)

華南師範大學質量工程與教學改革項目：教學名師培育，2017.01-2019.07。

國家自然科學基金委員會-廣東省政府聯合基金（第二期）超級計算科學套用研究專項基金子項目， 2016.01-2017.12。

廣東省教育廳教學質量工程建設項目: 數據挖掘教學團隊, 2015.07-2018.07。

知乎用戶推薦系統研究. 大學生創新創業訓練項目(國家級，201610574033)，2016.01-2016.12.指導教師

廣東大學生科技創新培育專項("攀登計畫"專項)(pdjh2015b0143), 2015.01-2015.12.指導教師

廣東省自然科學基金自由申請項目, 2015.01-2018.01。

華南師範大學質量工程建設項目: 數據挖掘教學團隊, 2014.11-2016.11。

國家自然科學基金面上項目, 2013.01-2016.12。

廣東省自然科學基金自由申請項目，2011.10-2013.10。

國家自然科學基金面上項目, 2011.01-2013.12 。

中國科學院模式識別國家重點實驗室開放基金, 2011.01-2012.12。

華南師範大學教學改革項目：《模式識別》的套用性和實踐性教學研究, 2010.02-2012.12。

中國科學院模式識別國家重點實驗室開放基金, 2008.09 -2010.12。

山東省自然科學基金, 2007.12-2010.12。

科研論文

Jiangping Xiao, Xiangru Li, Weiming Mai. A Separability Estimation Strategy for Class Imbalance Problem. IEEE Transactions on Knowledge and Data Engineering, Under review

石瑩禹, 吳秋蓉, 羅利能, 徐浩霖, 李鄉儒*, 肖江平, 彭婉芬. 智慧型數據挖掘學習平台的設計與實現. 在審稿

Zhiming Liang, Qingguo Zeng, Xinyue Lin, Xiangru Li. A scheme to remove radio frequency interference from FAST data. Under review.

Haitao Lin, Kaibin Qiu, Ziying Luo, Xiangru Li. A Relief-Greedy algorithm of feature selection for pulsar candidates classification on HTRU. Under review.

Haitao Lin, Xiangru Li, Qingguo Zeng. Pulsar Candidate Identification Using Multi-input Convolution Neural Networks . Under review.

Xiangru Li, Woliang Yu, Xilong Fan and G. Jogesh Babu. A Method Of Detecting Gravitational Wave Based On Time-frequency Analysis and Convolutional Neural Networks. Under review.

Qingguo Zeng, Xue Chen, Xiangru Li, Jinlin Han, Chen Wang, Dejiang Zhou,Tao Wang. Radio Frequency Interference Mitigation based on ArPLS and SumThreshold. Under review.

李鄉儒*, 梁惠雯, 馮雋怡, 肖江平, 彭婉芬. 線上教育平台中個性化學習資源推薦系統設計. 計算機技術與發展, 錄用待刊出.

Qingguo Zeng, Xiangru Li, Haitao Lin. Concat Convolutional Neural Network for Pulsar Candidate Selection. Monthly Notices of the Royal Astronomical Society,accepted.

Rui Wang, Ali Luo, Jianjun Chen, Wen Hou, Shuo Zhang, Yongheng Zhao, Xiangru Li, Yonghui Hou, and LAMOST MRS Collaboration. SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey. The Astrophysical Journal, 891(1), 2020.

Haitao Lin, Xiangru Li and Ziying Luo. Pulsars Detection by Machine Learning with Very Few Features. Monthly Notices of the Royal Astronomical Society, 2020, 493(2): 1842-1854.

Jiangping Xiao,Xiangru Li,Haitao Lin and Kaibin Qiu. Pulsar candidate selection using pseudo nearest centroid neighbor classifier. Monthly Notices of the Royal Astronomical Society, 2020, 492(2): 2119–2127.

Baijiong Lin, Xiangru Li, and Woliang Yu. Binary Neutron Stars Gravitational Wave Detection Based on Wavelet Packet Analysis And Convolutional Neural Networks. Frontiers of Physics, 2020, 15(2): 24602.

Xiangru Li, Yangtao Lin, Kaibin Qiu. Stellar Spectrum Classification and Feature Evaluation based on Random Forest. Research in Astronomy and Astrophysics, 19(8):111(7pp), 2019.

Xiao Kong, Ali Luo and Xiangru Li. A Catalog of DB White Dwarfs from the LAMOST DR5 and Construction of Templates. Research in Astronomy and Astrophysics, 19(6): 88, 2019.

Weizhe Chen, Xiangru Li. Research on traffic opening strategy of closed communities based on complex network. Acta automatica sinica, 44 (11): 2068-2082, 2018.

Zijian He, Jiamin Li, Qiurui Li ,junhui Yu, Yuanjun Zheng, Xiangru Li. Research on real-time information fusion recommendation algorithm based on LSI. Computer Technology and Development, 28(7):73-82, 2018.

Yu Lu, Xiangru Li, Yangtao Lin, Kaibin Qiu. A method of estimating the [alpha/Fe] ratio from low resolution stellar spectra. Acta Astronomica Sinica, 59(4): 66-78, 2018.

Xiao Kong, Ali Luo, Xiangru Li, Youfen Wang, Yinbi Li, and Jingkun Zhao. Spectral Feature Extraction for DB White Dwarfs Through Machine Learning Applied to New Discoveries in the Sdss DR12 and DR14. Publications of the Astronomical Society of the Pacific, 130:084203 (18pp), 2018 August

Chao Wu, Dong Ma, Haijun Tian, Xiangru Li, Jianyan Wei. Study and Development of a Fast and Automatic Astronomical-transient-identification System. Acta Automatica Sinica, 43(12): 2170-2177, 2017.

Jiannan Zhang, Xiaoyan Chen, Yue Wu, Xiangru Li. An Automated Galaxy Spectra Recognition Method Basing on Spectral Lines Information. Proceedings of the International Astronomical Union, 12(S325), 221-224, 2017.

Xiangru Li, Ruyang Pan, and Fuqing Duan. Parameterizing Stellar Spectra Using Deep Neural Networks. Research in Astronomy and Astrophysics, 17(4) : 036, 2017.

Wei Gao, Xiangru Li. Application of Multi-task Sparse Lasso Feature Extraction and Support Vector Machine Regression in the Stellar Atmospheric Parameterization. Chinese Astronomy and Astrophysics, 41(3):331-346, 2017.

Xiangru Li, Yu Lu, Georges Comte, Ali Luo, Yongheng Zhao and YongjunWang. Linearly supporting feature extraction for estimating stellar atmosphericparameters. The Astrophysical Journal Supplement Series, 218(1),3, 2015.

Xiangru Li, Q.M. Jonathan Wu, Ali Luo, Yongheng Zhao, Yu Lu, Fang Zuo, Tan Yang, Yongjun Wang. SDSS/SEGUE spectral feature analysis for stellar atmospheric parameter estimation. The Astrophysical Journal, 790 105, 2014.

Tan Yang, Xiangru Li. Autoencoder of Stellar Spectra and its Application in Automatically Estimating Atmospheric Parameters. Monthly Notices of the Royal Astronomical Society, 452 (1): 158-168, 2015.

Yu Lu, Xiangru Li. Estimating Stellar Atmospheric Parameters Based on LASSO and Support Vector Regression. Monthly Notices Royal Astronomical Society, 452(2):1394-1401, 2015.

Xiangru Li, Zhanyi Hu. Rejecting Mismatches by Correspondence Function. International Journal of Computer Vision, 89(1):1-17,2010.8.

Xiangru Li, Zhanyi Hu, Fuchao Wu. A note on the convergence of the mean shift. Pattern Recognition, 40(6):1756-1762,2007.6.

Xiangru Li, Xiaoming Li, Hailing Li, Maoyong Cao. Rejecting Outliers based on Correspondence Manifold. Acta Automatica Sinica, 35(1):17-22, 2009.1.

Xiangru Li. Feature Extracting Methods in Spectrum Data Mining. Progress in Astronomy, 30(1):94-105, 2012.2.