Hong Chen

Orcid: 0000-0002-5257-2225

Affiliations:

Huazhong Agricultural University, College of Informatics, Department of Mathematics and Statistics, Wuhan, China
University of Pittsburgh, Electrical and Computer Engineering, Pittsburgh, PA, USA
University of Texas at Arlington, Department of Computer Science and Engineering, Arlington, TX, USA (2016 - 2017)
University of Macau, Department of Computer and Information Science, Macau
Hubei University, Wuhan, China (PhD 2009)

According to our database¹, Hong Chen authored at least 85 papers between 2008 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2025

Generalization Bounds of Deep Neural Networks With τ-Mixing Samples.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Clustering-Guided Multi-Layer Contrastive Representation Learning for Citrus Disease Classification.

[BibT_eX]

[DOI]

CoRR, July, 2025

How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, March, 2025

Sparse Additive Machine With the Correntropy-Induced Loss.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Tensor Nuclear Norm-Based Multi-Channel Atomic Representation for Robust Face Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

TSGaussian: Semantic and depth-guided Target-Specific Gaussian Splatting from sparse views.

[BibT_eX]

[DOI]

Image Vis. Comput., 2025

Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Markov Subsampling Based on Huber Criterion.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2024

A Bayesian Federated Learning Framework With Online Laplace Approximation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Robust multi-view learning via M-estimator joint sparse representation.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Error Density-dependent Empirical Risk Minimization.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?

[BibT_eX]

[DOI]

Jun Chen

Hong Chen

Bin Gu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Asynchronous Vertical Federated Learning for Kernelized AUC Maximization.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Sharper Generalization Bounds for Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

General Stability Analysis for Zeroth-Order Optimization Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Negative Label Guided OOD Detection with Pretrained Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generalized Sparse Additive Model with Unknown Link Function.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

PTQ4SAM: Post-Training Quantization for Segment Anything.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Attention reweighted sparse subspace clustering.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

Robust variable structure discovery based on tilted empirical risk minimization.

[BibT_eX]

[DOI]

Appl. Intell., July, 2023

Robust partially linear models for automatic structure discovery.

[BibT_eX]

[DOI]

Expert Syst. Appl., May, 2023

Double Auto-Weighted Tensor Robust Principal Component Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Simultaneous Robust Matching Pursuit for Multi-view Learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Detecting Out-of-distribution Data through In-distribution Class Prior.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Tilted Sparse Additive Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Robust and Fast Measure of Information via Low-Rank Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

On the Stability and Generalization of Triplet Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generalized and Discriminative Collaborative Representation for Multiclass Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Global Weighted Tensor Nuclear Norm for Tensor Robust Principal Component Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Distribution-dependent feature selection for deep neural networks.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Huber Additive Models for Non-stationary Time Series Analysis.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Error-Based Knockoffs Inference for Controlled Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Sparse Modal Additive Model.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Sparse additive machine with pinball loss.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Learning performance of LapSVM based on Markov subsampling.

[BibT_eX]

[DOI]

Tieliang Gong

Hong Chen

Chen Xu

Neurocomputing, 2021

Computationally Efficient Approximations for Matrix-based Renyi's Entropy.

[BibT_eX]

[DOI]

CoRR, 2021

Distributed Ranking with Communications: Approximation Analysis and Applications.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Modal additive models with data-driven structure identification.

[BibT_eX]

[DOI]

Tieliang Gong

Chen Xu

Hong Chen

Math. Found. Comput., 2020

Group sparse additive machine with average top-k loss.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Optimal Margin Distribution Additive Machine.

[BibT_eX]

[DOI]

Changying Guo

Hao Deng

Hong Chen

IEEE Access, 2020

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sparse Shrunk Additive Models.

[BibT_eX]

[DOI]

Guodong Liu

Hong Chen

Heng Huang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Atomic Representation-Based Classification: Theory, Algorithm, and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Regularized modal regression with data-dependent hypothesis spaces.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2019

Error analysis of distributed least squares ranking.

[BibT_eX]

[DOI]

Hong Chen

Han Li

Zhibin Pan

Neurocomputing, 2019

Robust Variable Selection and Estimation Based on Kernel Modal Regression.

[BibT_eX]

[DOI]

Entropy, 2019

2018

Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.

[BibT_eX]

[DOI]

Bioinform., 2018

2017

Ideal Regularized Composite Kernel for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Generalization Analysis of Fredholm Kernel Regularized Classifiers.

[BibT_eX]

[DOI]

Tieliang Gong

Zongben Xu

Hong Chen

Neural Comput., 2017

Modal Regression based Atomic Representation for Robust Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

Regularized Modal Regression with Applications in Cognitive Impairment Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Group Sparse Additive Machine.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Generalization Performance of Regularized Ranking With Multiscale Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Example-based super-resolution via social images.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Stability analysis for ranking with stationary <i>φ</i>-mixing samples.

[BibT_eX]

[DOI]

Fangchao He

Ling Zuo

Hong Chen

Neurocomputing, 2016

Error Analysis of Generalized Nyström Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Generalization ability of extreme learning machine with uniformly ergodic Markov chains.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2014

Extreme learning machine for ranking: Generalization analysis and applications.

[BibT_eX]

[DOI]

Neural Networks, 2014

Statistical analysis of the moving least-squares method with unbounded sampling.

[BibT_eX]

[DOI]

Fangchao He

Hong Chen

Luoqing Li

Inf. Sci., 2014

Learning performance of coefficient-based regularized ranking.

[BibT_eX]

[DOI]

Hong Chen

Zhibin Pan

Luoqing Li

Neurocomputing, 2014

2013

Error Analysis of Stochastic Gradient Descent Ranking.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

Convergence rate of the semi-supervised greedy algorithm.

[BibT_eX]

[DOI]

Neural Networks, 2013

Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection.

[BibT_eX]

[DOI]

Neural Comput., 2013

Generalization performance of magnitude-preserving semi-supervised ranking with graph-based regularization.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Generalization performance of support vector classifiers for density level detection.

[BibT_eX]

[DOI]

Neurocomputing, 2013

2012

Approximation Analysis of Gradient Descent Algorithm for Bipartite Ranking.

[BibT_eX]

[DOI]

Hong Chen

Fangchao He

Zhibin Pan

J. Appl. Math., 2012

Least Square Regression with coefficient Regularization by Gradient Descent.

[BibT_eX]

[DOI]

Juan Huang

Hong Chen

Luoqing Li

Int. J. Wavelets Multiresolution Inf. Process., 2012

2010

Semi-supervised learning based on high density region estimation.

[BibT_eX]

[DOI]

Hong Chen

Luoqing Li

Jiangtao Peng

Neural Networks, 2010

2009

Semisupervised Multicategory Classification With Imperfect Model.

[BibT_eX]

[DOI]

Hong Chen

Luoqing Li

IEEE Trans. Neural Networks, 2009

Error bounds of multi-graph regularized semi-supervised classification.

[BibT_eX]

[DOI]

Hong Chen

Luoqing Li

Jiangtao Peng

Inf. Sci., 2009

Analysis of Classification with a Reject Option.

[BibT_eX]

[DOI]

Hong Chen

Luoqing Li

Yuan Yan Tang

Int. J. Wavelets Multiresolution Inf. Process., 2009

2008

Analysis of Graph-Based Semi-supervised Regression.

[BibT_eX]

[DOI]

Jin Luo

Hong Chen

Yi Tang

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Hong Chen

Timeline

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