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ORCIDJianxin Yin
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2020 – today
- 2024
[j11]Tianyu Miao, Wenjun Ji
, Baoguo Li, Xicun Zhu, Jianxin Yin, Jiajie Yang, Yuanfang Huang, Yan Cao, Dongheng Yao, Xiangbin Kong:
Advanced Soil Organic Matter Prediction with a Regional Soil NIR Spectral Library Using Long Short-Term Memory-Convolutional Neural Networks: A Case Study. Remote. Sens. 16(7): 1256 (2024)- [j10]Zhifan Li, Yanhang Zhang, Jianxin Yin:
Estimating Double Sparse Structures Over ℓu(ℓq) -Balls: Minimax Rates and Phase Transition. IEEE Trans. Inf. Theory 70(10): 7066-7088 (2024) - 2023
- [j9]Yikun Zhu, Yanrong Hu, Qingyang Liu, Hongjiu Liu, Chunxin Ma, Jianxin Yin:
A Hybrid Approach for Predicting Corporate Financial Risk: Integrating SMOTE-ENN and NGBoost. IEEE Access 11: 111106-111125 (2023) - [j8]Jianxin Yin, Zhan Shi, Baoguo Li, Fujun Sun, Tianyu Miao, Zhou Shi, Songchao Chen, Meihua Yang, Wenjun Ji:
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra. Remote. Sens. 15(8): 2053 (2023) - [j7]Jianxin Yin, Yongli Zhao, Zhi Peng, Fushuai Ba, Peng Peng, Xiaolong Liu, Qian Rong, Youmin Guo, Yafei Zhang:
Rapid Identification Method for CH4/CO/CH4-CO Gas Mixtures Based on Electronic Nose. Sensors 23(6): 2975 (2023) - [j6]Zhan Shi, Jianxin Yin, Baoguo Li, Fujun Sun, Tianyu Miao, Yan Cao, Zhou Shi, Songchao Chen, Bifeng Hu, Wenjun Ji:
Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy. Sensors 23(13): 5967 (2023)
2010 – 2019
- 2018
- [j5]Yongxiao Yang, Wei Wang, Yuan Lou, Jianxin Yin, Xinqi Gong:
Geometric and amino acid type determinants for protein-protein interaction interfaces. Quant. Biol. 6(2): 163-174 (2018) - 2016
- [j4]Xiaomao Li, Jianxin Yin:
Sparse Sufficient Dimension Reduction for Markov Blanket Discovery. Commun. Stat. Simul. Comput. 45(4): 1355-1364 (2016) - 2014
- [j3]Shiyuan He, Jianxin Yin, Hongzhe Li, Xing Wang:
Graphical model selection and estimation for high dimensional tensor data. J. Multivar. Anal. 128: 165-185 (2014) - 2013
- [j2]Jianxin Yin, Hongzhe Li:
Adjusting for high-dimensional covariates in sparse precision matrix estimation by ℓ1-penalization. J. Multivar. Anal. 116: 365-381 (2013) - 2012
- [j1]Jianxin Yin, Hongzhe Li:
Model selection and estimation in the matrix normal graphical model. J. Multivar. Anal. 107: 119-140 (2012) - 2010
- [c2]You Zhou, Changzhang Wang, Jianxin Yin, Zhi Geng:
Discover Local Causal Network around a Target to a Given Depth. NIPS Causality: Objectives and Assessment 2010: 191-202
2000 – 2009
- 2008
- [c1]Jianxin Yin, You Zhou, Changzhang Wang, Ping He, Cheng Zheng, Zhi Geng:
Partial orientation and local structural learning of causal networks for prediction. WCCI Causation and Prediction Challenge 2008: 93-105
Coauthor Index
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