Hong Chen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Empirical Risk Minimization

Robust Face Recognition

Extreme Learning Machine

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
Negative Label Guided OOD Detection with Pretrained Vision-Language Models. CoRR (2024)
Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
Negative Label Guided OOD Detection with Pretrained Vision-Language Models. ICLR (2024)
Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis. CoRR (2024)
Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu
PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR (2024)
Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao
A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Xinyue Liu, Hualin Zhang, Bin Gu, Hong Chen
General Stability Analysis for Zeroth-Order Optimization Algorithms. ICLR (2024)
Hong Chen, Xuelin Zhang, Tieliang Gong, Bin Gu, Feng Zheng
Error Density-dependent Empirical Risk Minimization. Expert Syst. Appl. 254 (2024)
Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie
QVD: Post-training Quantization for Video Diffusion Models. CoRR (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) (2024)
Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. ICLR (2024)
Hong Chen, Youcheng Fu, Xue Jiang, Yanhong Chen, Weifu Li, Yicong Zhou, Feng Zheng
Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR (2024)
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
Markov Subsampling Based on Huber Criterion. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yulong Wang, Kit Ian Kou, Hong Chen, Yuan Yan Tang, Luoqing Li
Simultaneous Robust Matching Pursuit for Multi-view Learning. Pattern Recognit. 134 (2023)
Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
On the Stability and Generalization of Triplet Learning. AAAI (2023)
Yulong Wang, Kit Ian Kou, Hong Chen, Yuan Yan Tang, Luoqing Li
Double Auto-Weighted Tensor Robust Principal Component Analysis. IEEE Trans. Image Process. 32 (2023)
Jun Chen, Hong Chen, Bin Gu, Hao Deng
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization. NeurIPS (2023)
Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
Detecting Out-of-distribution Data through In-distribution Class Prior. ICML (2023)
Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
Tilted Sparse Additive Models. ICML (2023)
Yuxiang Han, Hong Chen, Tieliang Gong, Jia Cai, Hao Deng
Robust partially linear models for automatic structure discovery. Expert Syst. Appl. 217 (2023)
Jiangtao Peng, Weiwei Sun, Fan Jiang, Hong Chen, Yicong Zhou, Qian Du
A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yulong Wang, Yap-Peng Tan, Yuan Yan Tang, Hong Chen, Cuiming Zou, Luoqing Li
Generalized and Discriminative Collaborative Representation for Multiclass Classification. IEEE Trans. Cybern. 52 (5) (2022)
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
Error-based Knockoffs Inference for Controlled Feature Selection. CoRR (2022)
Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
Error-Based Knockoffs Inference for Controlled Feature Selection. AAAI (2022)
Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang
Sparse Modal Additive Model. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng
Distributed Ranking with Communications: Approximation Analysis and Applications. AAAI (2021)
Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. NeurIPS (2020)
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen
Modal Regression-Based Atomic Representation for Robust Face Recognition and Reconstruction. IEEE Trans. Cybern. 50 (10) (2020)
Yulong Wang, Yuan Yan Tang, Cuiming Zou, Luoqing Li, Hong Chen
Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification. Neurocomputing 372 (2020)
Peipei Yuan, Xinge You, Hong Chen, Qinmu Peng, Yue Zhao, Zhou Xu, Xiao-Yuan Jing, Zhenyu He
Group sparse additive machine with average top-k loss. Neurocomputing 395 (2020)
Changying Guo, Hao Deng, Hong Chen
Optimal Margin Distribution Additive Machine. IEEE Access 8 (2020)
Hong Chen, Han Li, Zhibin Pan
Error analysis of distributed least squares ranking. Neurocomputing 361 (2019)
Yingjie Wang, Hong Chen, Biqin Song, Han Li
Regularized modal regression with data-dependent hypothesis spaces. Int. J. Wavelets Multiresolution Inf. Process. 17 (6) (2019)
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen, Jianjia Pan
Atomic Representation-Based Classification: Theory, Algorithm, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 41 (1) (2019)
Changying Guo, Biqin Song, Yingjie Wang, Hong Chen, Huijuan Xiong
Robust Variable Selection and Estimation Based on Kernel Modal Regression. Entropy 21 (4) (2019)
Jiangtao Peng, Hong Chen, Yicong Zhou, Luoqing Li
Ideal Regularized Composite Kernel for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (4) (2017)
Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen
Modal Regression based Atomic Representation for Robust Face Recognition. CoRR (2017)
Yi Tang, Hong Chen, Zhanwen Liu, Biqin Song, Qi Wang
Example-based super-resolution via social images. Neurocomputing 172 (2016)
Yicong Zhou, Hong Chen, Rushi Lan, Zhibin Pan
Generalization Performance of Regularized Ranking With Multiscale Kernels. IEEE Trans. Neural Networks Learn. Syst. 27 (5) (2016)
Fangchao He, Ling Zuo, Hong Chen
-mixing samples. Neurocomputing 171 (2016)
Peipei Yuan, Hong Chen, Yicong Zhou, Xiaoyan Deng, Bin Zou
Generalization ability of extreme learning machine with uniformly ergodic Markov chains. Neurocomputing 167 (2015)
Hong Chen, Jiangtao Peng, Yicong Zhou, Luoqing Li, Zhibin Pan
Extreme learning machine for ranking: Generalization analysis and applications. Neural Networks 53 (2014)
Fangchao He, Hong Chen, Luoqing Li
Statistical analysis of the moving least-squares method with unbounded sampling. Inf. Sci. 268 (2014)
Hong Chen, Zhibin Pan, Luoqing Li
Learning performance of coefficient-based regularized ranking. Neurocomputing 133 (2014)
Zhibin Pan, Xinge You, Hong Chen, Dacheng Tao, Baochuan Pang
Generalization performance of magnitude-preserving semi-supervised ranking with graph-based regularization. Inf. Sci. 221 (2013)
Hong Chen, Yi Tang, Luoqing Li, Yuan Yuan, Xuelong Li, Yuan Yan Tang
Error Analysis of Stochastic Gradient Descent Ranking. IEEE Trans. Cybern. 43 (3) (2013)
Hong Chen, Yicong Zhou, Yuan Yan Tang, Luoqing Li, Zhibin Pan
Convergence rate of the semi-supervised greedy algorithm. Neural Networks 44 (2013)
Hong Chen, Yicong Zhou, Yi Tang, Yuan Yan Tang, Zhibin Pan
Generalization performance of support vector classifiers for density level detection. Neurocomputing 119 (2013)
Hong Chen, Zhibin Pan, Luoqing Li, Yuan Yan Tang
Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection. Neural Comput. 25 (4) (2013)
Juan Huang, Hong Chen, Luoqing Li
Least Square Regression with coefficient Regularization by Gradient Descent. Int. J. Wavelets Multiresolution Inf. Process. 10 (1) (2012)
Hong Chen, Fangchao He, Zhibin Pan
Approximation Analysis of Gradient Descent Algorithm for Bipartite Ranking. J. Appl. Math. 2012 (2012)
Hong Chen, Luoqing Li, Jiangtao Peng
Semi-supervised learning based on high density region estimation. Neural Networks 23 (7) (2010)
Hong Chen, Luoqing Li, Jiangtao Peng
Error bounds of multi-graph regularized semi-supervised classification. Inf. Sci. 179 (12) (2009)
Hong Chen, Luoqing Li
Semisupervised Multicategory Classification With Imperfect Model. IEEE Trans. Neural Networks 20 (10) (2009)
Hong Chen, Luoqing Li, Yuan Yan Tang
Analysis of Classification with a Reject Option. Int. J. Wavelets Multiresolution Inf. Process. 7 (3) (2009)
Jin Luo, Hong Chen, Yi Tang
Analysis of Graph-Based Semi-supervised Regression. FSKD (2) (2008)