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ORCIDTonglin Zhang
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2020 – today
- 2024
[j21]Tonglin Zhang
:
Variables selection using L0 penalty. Comput. Stat. Data Anal. 190: 107860 (2024)- [j20]Ge Lin, Tonglin Zhang:
Spatial monitoring to reduce COVID-19 vaccine hesitance. J. Geogr. Syst. 26(2): 249-264 (2024) - [j19]Shengkai Li, Tonglin Zhang, Fangmei Yang, Xian Li, Ziyang Wang, Dongjie Zhao:
A Dynamic Multi-Scale Convolution Model for Face Recognition Using Event-Related Potentials. Sensors 24(13): 4368 (2024) - [j18]Jin Wei-Kocsis, Moein Sabounchi, Gihan J. Mendis, Praveen Fernando, Baijian Yang, Tonglin Zhang:
Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. IEEE Trans. Educ. 67(3): 395-404 (2024) - [c19]Zhengle Li, Ying Pan, Tonglin Zhang, Yan Zhou, Xinying Huang, Xiaolong Chai:
Analysis of Infringement Determination Methods in Personal Information Protection Disputes Based on Machine Learning. GAIIS 2024 - [i3]Hong Zhao, Huyunting Huang, Tonglin Zhang, Baijian Yang, Jin Wei-Kocsis, Songlin Fei:
Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud. CoRR abs/2410.20006 (2024) - 2023
- [j17]Ziyang Tang, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song:
spaCI: deciphering spatial cellular communications through adaptive graph model. Briefings Bioinform. 24(1) (2023) - [j16]Ziyang Tang, Xiang Liu, Zuotian Li, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song:
SpaRx: elucidate single-cell spatial heterogeneity of drug responses for personalized treatment. Briefings Bioinform. 24(6) (2023) - [j15]Hang Zhang, Guanpeng Dong, Jinfeng Wang, Tong-Lin Zhang, Xiaoyu Meng, Dongyang Yang, Yong Liu, Binbin Lu:
Understanding and extending the geographical detector model under a linear regression framework. Int. J. Geogr. Inf. Sci. 37(11): 2437-2453 (2023) - [j14]Tonglin Zhang:
Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals. J. Comput. Graph. Stat. 32(4): 1636-1648 (2023) - [c18]Zijia Tang, Tonglin Zhang, Qianqian Song, Jing Su, Baijian Yang:
PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease. BCB 2023: 47:1-47:9 - [c17]Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Justin Yang:
Improved Clustering Using Nice Initialization. GLOBECOM 2023: 320-325 - [c16]Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang, Qianqian Song, Jing Su:
Feature Selection for Unsupervised Machine Learning. SmartCloud 2023: 164-169 - 2022
- [c15]Weitao Tang, Tonglin Zhang, Baijian Yang:
SemiCon: A Semi-supervised Learning for Industrial Image Inspection. CSCloud/EdgeCom 2022: 12-17 - [c14]Jin Wei-Kocsis, Moein Sabounchi, Baijian Yang, Tonglin Zhang:
Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm. FIE 2022: 1-5 - [i2]Tonglin Zhang:
Asymptotics for The k-means. CoRR abs/2211.10015 (2022) - 2021
- [j13]Tonglin Zhang, Ge Lin:
Generalized k-means in GLMs with applications to the outbreak of COVID-19 in the United States. Comput. Stat. Data Anal. 159: 107217 (2021) - 2020
- [c13]Huyunting Huang, Xiang Liu, Tonglin Zhang, Baijian Yang:
Regression PCA for Moving Objects Separation. GLOBECOM 2020: 1-6 - [c12]Xiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang:
Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. ICMLA 2020: 65-70 - [c11]Weitao Tang, Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang:
HOOD: High-Order Orthogonal Decomposition for Tensors. SmartCom 2020: 87-96
2010 – 2019
- 2019
- [j12]Tonglin Zhang:
General Gaussian estimation. J. Multivar. Anal. 169: 234-247 (2019) - [j11]Tonglin Zhang, Jorge Mateu:
Substationarity for spatial point processes. J. Multivar. Anal. 171: 22-36 (2019) - [c10]Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang:
Sparse Block Regression (SBR) for Big Data with Categorical Variables. IEEE BigData 2019: 221-226 - [c9]Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in Big Data. ICMLA 2019: 587-594 - [i1]Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in big data. CoRR abs/1903.00843 (2019) - 2018
- [j10]Ying Liu, Yawen Liu, Tonglin Zhang:
Wald-based spatial scan statistics for cluster detection. Comput. Stat. Data Anal. 127: 298-310 (2018) - [c8]Baijian Yang, Mengyao Wang, Zhenzhi Xu, Tonglin Zhang:
Streaming Algorithm for Big Data Logistic Regression. IEEE BigData 2018: 2940-2950 - [c7]Wanchih Chiang, Xiang Liu, Tonglin Zhang, Baijian Yang:
A Study of Exact Ridge Regression for Big Data. IEEE BigData 2018: 3821-3830 - 2017
- [j9]Tonglin Zhang, Baijian Yang:
An exact approach to ridge regression for big data. Comput. Stat. 32(3): 909-928 (2017) - [j8]Tonglin Zhang, Run Zhuang:
Testing proportionality between the first-order intensity functions of spatial point processes. J. Multivar. Anal. 155: 72-82 (2017) - [j7]Tonglin Zhang, Baijian Yang:
Box-Cox Transformation in Big Data. Technometrics 59(2): 189-201 (2017) - [c6]Huayi Fang, Baijian Yang, Tonglin Zhang:
Finding the best box-cox transformation from massive datasets on spark. IEEE BigData 2017: 2951-2960 - [c5]Yuxiang Gao, Tongling Zhang, Baijian Yang:
Finding the Best Box-Cox Transformation in Big Data with Meta-Model Learning: A Case Study on QCT Developer Cloud. CSCloud 2017: 31-34 - 2016
- [j6]Tonglin Zhang, Ge Lin:
On Moran's | coefficient under heterogeneity. Comput. Stat. Data Anal. 95: 83-94 (2016) - [c4]Baijian Yang, Tonglin Zhang:
A Scalable Meta-Model for Big Data Security Analyses. BigDataSecurity/HPSC/IDS 2016: 55-60 - [c3]Baijian Yang, Tonglin Zhang:
A Scalable Feature Selection and Model Updating Approach for Big Data Machine Learning. SmartCloud 2016: 146-151 - [c2]Tonglin Zhang, Baijian Yang:
Big Data Dimension Reduction Using PCA. SmartCloud 2016: 152-157 - 2014
- [j5]Tonglin Zhang, Ge Lin:
Family of power divergence spatial scan statistics. Comput. Stat. Data Anal. 75: 162-178 (2014) - 2013
- [j4]Tonglin Zhang, Ge Lin:
On the limiting distribution of the spatial scan statistic. J. Multivar. Anal. 122: 215-225 (2013) - 2012
- [j3]Hong Wan, Tonglin Zhang, Yu Zhu:
Detection and localization of hidden radioactive sources with spatial statistical method. Ann. Oper. Res. 192(1): 87-104 (2012) - 2011
- [c1]Hyojeong Lee, Lan Zhao, Gabriel J. Bowen, Chris C. Miller, Ajay Kalangi, Tonglin Zhang, Jason B. West:
Enabling online geospatial isotopic model development and analysis. TG 2011: 39:1-39:8
2000 – 2009
- 2009
- [j2]Tonglin Zhang, Ge Lin:
Spatial scan statistics in loglinear models. Comput. Stat. Data Anal. 53(8): 2851-2858 (2009) - 2007
- [j1]Tonglin Zhang, Ge Lin:
A decomposition of Moran's I for clustering detection. Comput. Stat. Data Anal. 51(12): 6123-6137 (2007)
Coauthor Index
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