1.Name

Xiangru Li

2.Biography

Xiangru Li， male， professor， doctoral supervisor.  His research fields include machine learning， big data computing & information extraction， and computer vision. He has presided over eight national and provincial natural science fund projects， one provincial data mining teaching team project， two state key laboratory open  projects; guided many national and provincial innovation and entrepreneurship projects of college students.  Dr Li's achievements have been published on some international and domestic first-class journals. Many of his students won national scholarships and innovation scholarships.

3.Research Interests

machine learning， big data computing & information extraction， and computer vision

4.Email

lixiangru@scnu.edu.cn

5.Academic

[1]  Xirong Zhao， Xiangru Li*， Hui Li， Xianqi Liu. SpecTE: Parameter Estimation for LAMOST Low-Resolution Stellar Spectra Based on Denoising Pre-training. The Astrophysical Journal Supplement Series (ApJS).
[2]  Ziyu Fang， Xiangru Li*， Haining Li. A Catalog of 12，766 Carbon-Enhanced Metal-Poor stars from LAMOST DR8. ApJS.
[3] Ruizheng Shi， Lang Yi， Shenchun Xiong， Xiangru Li*， Yunpeng Zhong， Wanfen Peng. RepSNet: Nuclei instance segmentation model based on boundary regression and parametric reconstruction. International Journal of Computer Vision， in press.
[4] Zhong， Jing， Deng， Zhijie， Li， Xiangru*， Wang， Lili， Yang， Haifeng， Li， Hui， Zhao， Xirong. Estimation of stellar mass and star formation rate based on galaxy images. Monthly Notices of the Royal Astronomical Society， 2024， 531(1): 2011-2027.
[5]  Xiaofan Tang， Hao Chen， Xiangru Li*， Sihua Yang. The Joint Learning of Multi-resolution Feature for multi-class retinal vessel segmentation. Neurocomputing， 584: 127570， 2024 (https://doi.org/10.1016/j.neucom.2024.127570).
[6] Xiangru Li*， Xiaoyu Zhang， Shengchun Xiong， Yulong Zheng， Hui Li. Parameter Estimation of LAMOST Medium-resolution Stellar Spectra. Monthly Notices of the Royal Astronomical Society， 523(4): 5230–5247， 2023 (https://doi.org/10.1093/mnras/stad1778) .
[7]  Xiangru Li*， Boyu Lin. Estimating Stellar Parameters from LAMOST Low-resolution Spectra. Monthly Notices of the Royal Astronomical Society， 521(4): 6354–6367， 2023 ( https://doi.org/10.1093/mnras/stad831).
[8] Xiaohua Ma， Xiangru Li*， Ali Luo， Jinqu Zhang， Hui Li. Galaxy Image Classification using Hierarchical Data Learning with Weighted Sampling and Label Smoothing. Monthly Notices of the Royal Astronomical Society， 2023， 519(3): 4765–4779 (https://doi.org/10.1093/mnras/stac3770).
[9] Shengchun Xiong， Xiangru Li*， Caixiu Liao. A Model RRNet for Spectral Information Exploitation and LAMOST Medium-resolution Spectrum Parameter Estimation. The Astrophysical Journal Supplement Series， 261:36， 2022 (https://doi.org/10.3847/1538-4365/ac76c6).
[10] Xiangru Li*， Si Zeng， Zhu Wang， Bing Du， Xiao Kong， Caixiu Liao. Estimating Atmospheric Parameters from LAMOST Low-Resolution Spectra with low SNR. Monthly Notices of the Royal Astronomical Society， 514(3): 4588–4600， 2022 (https://doi.org/10.1093/mnras/stac1625).
[11] Qingguo Zeng， Xue Chen， Xiangru Li*， Jinlin Han， Chen Wang， Dejiang Zhou， Tao Wang. Radio Frequency Interference Mitigation based on ArPLS and SumThreshold. Monthly Notices of the Royal Astronomical Society， 500(3): 2969–2978， 2021 (https://doi.org/10.1093/mnras/staa2551).
[12] Haitao Lin， Xiangru Li*， Qingguo Zeng. Pulsar Candidate Sifting Using Multi-input Convolution Neural Networks . The Astrophysical Journal， 899， 2， 2020 (https://doi.org/10.3847/1538-4357/aba838).
[13] Qingguo Zeng， Xiangru Li*， Haitao Lin. Concat Convolutional Neural Network for Pulsar Candidate Selection. Monthly Notices of the Royal Astronomical Society， 494(3): 3110-3119， 2020. （https://doi.org/10.1093/mnras/staa916）
[14] Baijiong Lin， Xiangru Li*， Woliang Yu. Binary Neutron Stars Gravitational Wave Detection Based on Wavelet Packet Analysis And Convolutional Neural Networks. Frontiers of Physics， 15(2): 24602， 2020 (https://doi.org/10.1007/s11467-019-0935-y)
[15]  Xiangru Li*， Woliang Yu， Xilong Fan*， G. Jogesh Babu. Some Optimizations on Detecting Gravitational Wave Using Convolutional Neural Network. Frontiers of Physics， 15(5)， 54501， 2020 (https://doi.org/10.1007/s11467-020-0966-4)
[16]  Xiangru Li*， Yu Lu， Georges Comte， Ali Luo， Yongheng Zhao， YongjunWang. Linearly supporting feature extraction for estimating stellar atmospheric parameters. ApJS， 218(1)，3， 2015.
[17] Tan Yang， Xiangru Li*. An autoencoder of stellar spectra and its application in automatically estimating atmospheric parameters. Monthly Notices of the Royal Astronomical Society， 452 (1): 158-168， 2015.
[18]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. ApJ， 790， 105， 2014.
[19]Xiangru Li*， Zhanyi Hu. Rejecting Mismatches by Correspondence Function. International Journal of Computer Vision， 89(1):1-17， 2010.