Hong Chen

106 papers A* 29A 2B 1Journal 70Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Integral-based Knockoffs Inference for Partially Linear Models.
AAAI
Hao Wang, Biqin Song, Rushi Lan, Hong Chen
2026 J jnl
Maximum likelihood neural additive models.
Inf. Sci.
Jingyi Chen, Xuelin Zhang, Peipei Yuan, Rushi Lan, Hong Chen
2025 J jnl
Clustering-Guided Multi-Layer Contrastive Representation Learning for Citrus Disease Classification.
CoRR
Jun Chen, Yonghua Yu, Weifu Li, Yaohui Chen, Hong Chen
2025 A conf
Controlled Feature Interaction Selection for Deep Sparse Networks.
CIKM
Yuhang Qiu, Biqin Song, Hong Chen
2025 J jnl
Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data.
IEEE Trans. Neural Networks Learn. Syst.
Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2025 A* conf
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent.
AAAI
Jun Chen, Hong Chen, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li
2025 J jnl
Generalization Bounds of Deep Neural Networks With τ-Mixing Samples.
IEEE Trans. Neural Networks Learn. Syst.
Liyuan Liu, Yaohui Chen, Weifu Li, Yingjie Wang, Bin Gu, Feng Zheng, Hong Chen
2025 J jnl
How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis.
IEEE Trans. Inf. Theory
Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li
2025 A conf
Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance.
CIKM
Xuelin Zhang, Hong Chen, Lingjuan Wu
2025 A* conf
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery.
AAAI
Hao Wang, Biqin Song, Hao Deng, Hong Chen
2025 A* conf
On the Generalization Ability of Next-Token-Prediction Pretraining.
ICML
Zhihao Li, Xue Jiang, Liyuan Liu, Xuelin Zhang, Hong Chen, Feng Zheng
2025 J jnl
Sparse Additive Machine With the Correntropy-Induced Loss.
IEEE Trans. Neural Networks Learn. Syst.
Peipei Yuan, Xinge You, Hong Chen, Yingjie Wang, Qinmu Peng, Bin Zou
2025 J jnl
TSGaussian: Semantic and depth-guided Target-Specific Gaussian Splatting from sparse views.
Image Vis. Comput.
Liang Zhao, Zehan Bao, Yi Xie, Hong Chen, Yaohui Chen, Weifu Li
2025 J jnl
Tensor Nuclear Norm-Based Multi-Channel Atomic Representation for Robust Face Recognition.
IEEE Trans. Image Process.
Yutao Hu, Yulong Wang, Libin Wang, Han Li, Hong Chen, Yuan Yan Tang
2025 A* conf
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification.
ICLR
Wen Wen, Han Li, Tieliang Gong, Hong Chen
2025 A* conf
Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples.
IJCAI
Liyuan Liu, Hong Chen, Weifu Li, Tieliang Gong, Hao Deng, Yulong Wang
2024 J jnl
A Bayesian Federated Learning Framework With Online Laplace Approximation.
IEEE Trans. Pattern Anal. Mach. Intell.
Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao
2024 A* conf
Asynchronous Vertical Federated Learning for Kernelized AUC Maximization.
KDD
Ke Zhang, Ganyu Wang, Han Li, Yulong Wang, Hong Chen, Bin Gu
2024 J jnl
Error Density-dependent Empirical Risk Minimization.
Expert Syst. Appl.
Hong Chen, Xuelin Zhang, Tieliang Gong, Bin Gu, Feng Zheng
2024 A* conf
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization.
IJCAI
Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng
2024 A* conf
General Stability Analysis for Zeroth-Order Optimization Algorithms.
ICLR
Xinyue Liu, Hualin Zhang, Bin Gu, Hong Chen
2024 A* conf
Generalized Sparse Additive Model with Unknown Link Function.
ICDM
Peipei Yuan, Xinge You, Hong Chen, Xuelin Zhang, Qinmu Peng
2024 J jnl
Generalized Sparse Additive Model with Unknown Link Function.
CoRR
Peipei Yuan, Xinge You, Hong Chen, Xuelin Zhang, Qinmu Peng
2024 J jnl
Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications.
IEEE Trans. Neural Networks Learn. Syst.
Hong Chen, Youcheng Fu, Xue Jiang, Yanhong Chen, Weifu Li, Yicong Zhou, Feng Zheng
2024 A* conf
How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?
NeurIPS
Jun Chen, Hong Chen, Bin Gu
2024 J jnl
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis.
CoRR
Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li
2024 B conf
Improved Concentration Bound for CVaR.
IJCNN
Peng Sima, Hao Deng, Xuelin Zhang, Hong Chen
2024 J jnl
Markov Subsampling Based on Huber Criterion.
IEEE Trans. Neural Networks Learn. Syst.
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
2024 A* conf
Negative Label Guided OOD Detection with Pretrained Vision-Language Models.
ICLR
Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
2024 J jnl
Negative Label Guided OOD Detection with Pretrained Vision-Language Models.
CoRR
Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
2024 A* conf
PTQ4SAM: Post-Training Quantization for Segment Anything.
CVPR
Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu
2024 A* conf
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds.
ICLR
Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li
2024 J jnl
Robust multi-view learning via M-estimator joint sparse representation.
Pattern Recognit.
Yutao Hu, Yulong Wang, Han Li, Hong Chen
2024 J jnl
TSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Views.
CoRR
Liang Zhao, Zehan Bao, Yi Xie, Hong Chen, Yaohui Chen, Weifu Li
2024 A* conf
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective.
ICML
Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li
2024 A* conf
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning.
IJCAI
Wen Wen, Han Li, Tieliang Gong, Hong Chen
2023 J jnl
Attention reweighted sparse subspace clustering.
Pattern Recognit.
Libin Wang, Yulong Wang, Hao Deng, Hong Chen
2023 J jnl
CageViT: Convolutional Activation Guided Efficient Vision Transformer.
CoRR
Hao Zheng, Jinbao Wang, Xiantong Zhen, Hong Chen, Jingkuan Song, Feng Zheng
2023 A* conf
Detecting Out-of-distribution Data through In-distribution Class Prior.
ICML
Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
2023 J jnl
Double Auto-Weighted Tensor Robust Principal Component Analysis.
IEEE Trans. Image Process.
Yulong Wang, Kit Ian Kou, Hong Chen, Yuan Yan Tang, Luoqing Li
2023 A* conf
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization.
NeurIPS
Jun Chen, Hong Chen, Bin Gu, Hao Deng
2023 A* conf
On the Stability and Generalization of Triplet Learning.
AAAI
Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
2023 J jnl
On the Stability and Generalization of Triplet Learning.
CoRR
Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
2023 A* conf
Robust and Fast Measure of Information via Low-Rank Representation.
AAAI
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
2023 J jnl
Robust partially linear models for automatic structure discovery.
Expert Syst. Appl.
Yuxiang Han, Hong Chen, Tieliang Gong, Jia Cai, Hao Deng
2023 J jnl
Robust variable structure discovery based on tilted empirical risk minimization.
Appl. Intell.
Xuelin Zhang, Yingjie Wang, Liangxuan Zhu, Hong Chen, Han Li, Lingjuan Wu
2023 J jnl
Simultaneous Robust Matching Pursuit for Multi-view Learning.
Pattern Recognit.
Yulong Wang, Kit Ian Kou, Hong Chen, Yuan Yan Tang, Luoqing Li
2023 A* conf
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning.
AAAI
Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang
2023 J jnl
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning.
CoRR
Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang
2023 A* conf
Tilted Sparse Additive Models.
ICML
Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
2023 J jnl
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective.
CoRR
Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2023 A* conf
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective.
IJCAI
Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li
2022 J jnl
A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett.
Jiangtao Peng, Weiwei Sun, Fan Jiang, Hong Chen, Yicong Zhou, Qian Du
2022 J jnl
Distribution-dependent feature selection for deep neural networks.
Appl. Intell.
Xuebin Zhao, Weifu Li, Hong Chen, Yingjie Wang, Yanhong Chen, Vijay John
2022 J jnl
Error bounds of adversarial bipartite ranking.
Neurocomputing
Yingxiang Mo, Hong Chen, Yuxiang Han, Hao Deng
2022 A* conf
Error-Based Knockoffs Inference for Controlled Feature Selection.
AAAI
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
2022 J jnl
Error-based Knockoffs Inference for Controlled Feature Selection.
CoRR
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
2022 J jnl
Generalized and Discriminative Collaborative Representation for Multiclass Classification.
IEEE Trans. Cybern.
Yulong Wang, Yap-Peng Tan, Yuan Yan Tang, Hong Chen, Cuiming Zou, Luoqing Li
2022 J jnl
Global Weighted Tensor Nuclear Norm for Tensor Robust Principal Component Analysis.
CoRR
Libin Wang, Yulong Wang, Shiyuan Wang, Youheng Liu, Yutao Hu, Longlong Chen, Hong Chen
2022 A* conf
Huber Additive Models for Non-stationary Time Series Analysis.
ICLR
Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao
2022 A* conf
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.
AAAI
Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li
2022 J jnl
Robust and Fast Measure of Information via Low-rank Representation.
CoRR
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li
2021 J jnl
Computationally Efficient Approximations for Matrix-based Renyi's Entropy.
CoRR
Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng
2021 A* conf
Distributed Ranking with Communications: Approximation Analysis and Applications.
AAAI
Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng
2021 J jnl
Learning performance of LapSVM based on Markov subsampling.
Neurocomputing
Tieliang Gong, Hong Chen, Chen Xu
2021 J jnl
Markov subsampling based Huber Criterion.
CoRR
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
2021 J jnl
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment.
CoRR
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li
2021 J jnl
Sparse Modal Additive Model.
IEEE Trans. Neural Networks Learn. Syst.
Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang
2021 J jnl
Sparse additive machine with pinball loss.
Neurocomputing
Yingjie Wang, Xin Tang, Hong Chen, Tianjiao Yuan, Yanhong Chen, Han Li
2020 J jnl
Group sparse additive machine with average top-k loss.
Neurocomputing
Peipei Yuan, Xinge You, Hong Chen, Qinmu Peng, Yue Zhao, Zhou Xu, Xiao-Yuan Jing, Zhenyu He
2020 J jnl
Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction.
IEEE Trans. Cybern.
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen
2020 J jnl
Modal additive models with data-driven structure identification.
Math. Found. Comput.
Tieliang Gong, Chen Xu, Hong Chen
2020 J jnl
Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification.
Neurocomputing
Yulong Wang, Yuan Yan Tang, Cuiming Zou, Luoqing Li, Hong Chen
2020 A* conf
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery.
NeurIPS
Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen
2020 J jnl
Optimal Margin Distribution Additive Machine.
IEEE Access
Changying Guo, Hao Deng, Hong Chen
2020 A* conf
Sparse Shrunk Additive Models.
ICML
Guodong Liu, Hong Chen, Heng Huang
2019 J jnl
Atomic Representation-Based Classification: Theory, Algorithm, and Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen, Jianjia Pan
2019 J jnl
Error analysis of distributed least squares ranking.
Neurocomputing
Hong Chen, Han Li, Zhibin Pan
2019 J jnl
Regularized modal regression with data-dependent hypothesis spaces.
Int. J. Wavelets Multiresolution Inf. Process.
Yingjie Wang, Hong Chen, Biqin Song, Han Li
2019 J jnl
Robust Variable Selection and Estimation Based on Kernel Modal Regression.
Entropy
Changying Guo, Biqin Song, Yingjie Wang, Hong Chen, Huijuan Xiong
2018 J jnl
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
Bioinform.
Xiaoqian Wang, Hong Chen, Jingwen Yan, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang
2017 J jnl
Generalization Analysis of Fredholm Kernel Regularized Classifiers.
Neural Comput.
Tieliang Gong, Zongben Xu, Hong Chen
2017 — conf
Group Sparse Additive Machine.
NIPS
Hong Chen, Xiaoqian Wang, Cheng Deng, Heng Huang
2017 J jnl
Ideal Regularized Composite Kernel for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jiangtao Peng, Hong Chen, Yicong Zhou, Luoqing Li
2017 J jnl
Modal Regression based Atomic Representation for Robust Face Recognition.
CoRR
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen
2017 — conf
Regularized Modal Regression with Applications in Cognitive Impairment Prediction.
NIPS
Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang
2016 — conf
Error Analysis of Generalized Nyström Kernel Regression.
NIPS
Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai
2016 J jnl
Example-based super-resolution via social images.
Neurocomputing
Yi Tang, Hong Chen, Zhanwen Liu, Biqin Song, Qi Wang
2016 J jnl
Generalization Performance of Regularized Ranking With Multiscale Kernels.
IEEE Trans. Neural Networks Learn. Syst.
Yicong Zhou, Hong Chen, Rushi Lan, Zhibin Pan
2016 J jnl
Stability analysis for ranking with stationary
Neurocomputing
Fangchao He, Ling Zuo, Hong Chen
2015 J jnl
Generalization ability of extreme learning machine with uniformly ergodic Markov chains.
Neurocomputing
Peipei Yuan, Hong Chen, Yicong Zhou, Xiaoyan Deng, Bin Zou
2014 J jnl
Extreme learning machine for ranking: Generalization analysis and applications.
Neural Networks
Hong Chen, Jiangtao Peng, Yicong Zhou, Luoqing Li, Zhibin Pan
2014 J jnl
Learning performance of coefficient-based regularized ranking.
Neurocomputing
Hong Chen, Zhibin Pan, Luoqing Li
2014 J jnl
Statistical analysis of the moving least-squares method with unbounded sampling.
Inf. Sci.
Fangchao He, Hong Chen, Luoqing Li
2013 J jnl
Convergence rate of the semi-supervised greedy algorithm.
Neural Networks
Hong Chen, Yicong Zhou, Yuan Yan Tang, Luoqing Li, Zhibin Pan
2013 J jnl
Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection.
Neural Comput.
Hong Chen, Zhibin Pan, Luoqing Li, Yuan Yan Tang
2013 J jnl
Error Analysis of Stochastic Gradient Descent Ranking.
IEEE Trans. Cybern.
Hong Chen, Yi Tang, Luoqing Li, Yuan Yuan, Xuelong Li, Yuan Yan Tang
2013 J jnl
Generalization performance of magnitude-preserving semi-supervised ranking with graph-based regularization.
Inf. Sci.
Zhibin Pan, Xinge You, Hong Chen, Dacheng Tao, Baochuan Pang
2013 J jnl
Generalization performance of support vector classifiers for density level detection.
Neurocomputing
Hong Chen, Yicong Zhou, Yi Tang, Yuan Yan Tang, Zhibin Pan
2012 J jnl
Approximation Analysis of Gradient Descent Algorithm for Bipartite Ranking.
J. Appl. Math.
Hong Chen, Fangchao He, Zhibin Pan
2012 J jnl
Least Square Regression with coefficient Regularization by Gradient Descent.
Int. J. Wavelets Multiresolution Inf. Process.
Juan Huang, Hong Chen, Luoqing Li
2010 J jnl
Semi-supervised learning based on high density region estimation.
Neural Networks
Hong Chen, Luoqing Li, Jiangtao Peng
2009 J jnl
Analysis of Classification with a Reject Option.
Int. J. Wavelets Multiresolution Inf. Process.
Hong Chen, Luoqing Li, Yuan Yan Tang
2009 J jnl
Error bounds of multi-graph regularized semi-supervised classification.
Inf. Sci.
Hong Chen, Luoqing Li, Jiangtao Peng
2009 J jnl
Semisupervised Multicategory Classification With Imperfect Model.
IEEE Trans. Neural Networks
Hong Chen, Luoqing Li
2008 — conf
Analysis of Graph-Based Semi-supervised Regression.
FSKD (2)
Jin Luo, Hong Chen, Yi Tang