# Jun Fan Source: https://hello.cv/junfanprofile ## Work ### Associate Professor | Hong Kong Baptist University ### Assistant Professor | Hong Kong Baptist University ### Research Associate | University of Wisconsin–Madison ## Education ### City University of Hong Kong | Ph.D. ### Beijing Normal University | B.Sc. ## Publications ### Generalization analysis of deep CNNs under maximum correntropy criterion Neural Networks journal-article ### Distributed Gradient Descent for Functional Learning IEEE Transactions on Information Theory journal-article ### High-probability generalization bounds for pointwise uniformly stable algorithms Applied and Computational Harmonic Analysis journal-article ### Learning Korobov Functions by Correntropy and Convolutional Neural Networks Neural Computation journal-article ### Nonlinear functional regression by functional deep neural network with kernel embedding arXiv other ### On the convergence of gradient descent for robust functional linear regression Journal of Complexity journal-article ### Optimal prediction for kernel-based semi-functional linear regression Analysis and Applications journal-article ### SPECTRAL ALGORITHMS FOR FUNCTIONAL LINEAR REGRESSION Communications on Pure and Applied Analysis journal-article ### Approximation of Nonlinear Functionals Using Deep ReLU Networks Journal of Fourier Analysis and Applications journal-article ### Approximation of Nonlinear Functionals Using Deep ReLU Networks arXiv other ### Approximation of smooth functionals using deep ReLU networks Neural Networks journal-article ### Correction: Approximation of Nonlinear Functionals Using Deep ReLU Networks (Journal of Fourier Analysis and Applications, (2023), 29, 4, (50), 10.1007/s00041-023-10027-1) Journal of Fourier Analysis and Applications journal-article ### Distributed Gradient Descent for Functional Learning arXiv other ### Online gradient descent algorithms for functional data learning Journal of Complexity journal-article ### Comparison theorems on large-margin learning International Journal of Wavelets, Multiresolution and Information Processing journal-article ### Optimal learning with Gaussians and correntropy loss Analysis and Applications journal-article ### Optimal prediction for kernel-based semi-functional linear regression arXiv other ### A Statistical Learning Approach to Modal Regression Journal of Machine Learning Research journal-article ### Quantitative convergence analysis of kernel based large-margin unified machines Communications on Pure and Applied Analysis journal-article ### Convergence analysis of distributed multi-penalty regularized pairwise learning Analysis and Applications journal-article ### Convergence analysis of distributed multi-penalty regularized pairwise learning Analysis and Applications journal-article ### A statistical learning approach to modal regression Journal of Machine Learning Research journal-article ### Doubly robust estimation of average treatment effect revisited arXiv other ### Comparison theorems on large-margin learning arXiv other ### Optimal learning with Gaussians and correntropy loss Analysis and Applications journal-article ### An RKHS approach to estimate individualized treatment rules based on functional predictors Mathematical Foundations of Computing journal-article ### AN RKHS APPROACH TO ESTIMATE INDIVIDUALIZED TREATMENT RULES BASED ON FUNCTIONAL PREDICTORS Mathematical Foundations of Computing journal-article ### Quantifying predictive capability of electronic health records for the most harmful breast cancer. Proceedings of SPIE--the International Society for Optical Engineering journal-article ### Utility of Genetic Testing in Addition to Mammography for Determining Risk of Breast Cancer Depends on Patient Age. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science journal-article ### Quantifying predictive capability of electronic health records for the most harmful breast cancer Progress in Biomedical Optics and Imaging - Proceedings of SPIE conference-paper ### Breast Cancer Risk Prediction Using Electronic Health Records 2017 IEEE International Conference on Healthcare Informatics (ICHI) conference-paper ### Breast Cancer Risk Prediction Using Electronic Health Records Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017 conference-paper ### Learning rates for regularized least squares ranking algorithm Analysis and Applications journal-article ### Learning rates for regularized least squares ranking algorithm Analysis and Applications journal-article ### A statistical learning approach to modal regression arXiv other ### Breast Cancer Risk Prediction Using Electronic Health Records 2017 IEEE International Conference on Healthcare Informatics (ICHI) conference-paper ### Sparsity and error analysis of empirical feature-based regularization schemes Journal of Machine Learning Research journal-article ### Structure-Leveraged Methods in Breast Cancer Risk Prediction Journal of Machine Learning Research journal-article ### Structure-leveraged methods in breast cancer risk prediction Journal of Machine Learning Research journal-article ### Comment Journal of the American Statistical Association journal-article ### Personalized Dose Finding Using Outcome Weighted Learning Comment Journal of the American Statistical Association journal-article ### Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy Academic Radiology journal-article ### Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy Academic Radiology journal-article ### Consistency analysis of an empirical minimum error entropy algorithm Applied and Computational Harmonic Analysis conference-paper ### Consistency analysis of an empirical minimum error entropy algorithm Applied and Computational Harmonic Analysis journal-article ### Discriminatory power of common genetic variants in personalized breast cancer diagnosis Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment conference-paper ### Discriminatory power of common genetic variants in personalized breast cancer diagnosis Progress in Biomedical Optics and Imaging - Proceedings of SPIE conference-paper ### Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes Journal of Machine Learning Research journal-article ### Parameterized BLOSUM matrices for protein alignment IEEE/ACM Transactions on Computational Biology and Bioinformatics journal-article ### Parameterized BLOSUM Matrices for Protein Alignment Ieee-Acm Transactions on Computational Biology and Bioinformatics journal-article ### Regularization schemes for minimum error entropy principle Analysis and Applications journal-article ### Regularization schemes for minimum error entropy principle Analysis and Applications journal-article ### Learning Theory Approach to Minimum Error Entropy Criterion Journal of Machine Learning Research journal-article ### Learning theory approach to minimum error entropy criterion Journal of Machine Learning Research journal-article ## Source Read this profile on Hello.cv: https://hello.cv/junfanprofile Create your free profile at https://hello.cv