Chao Zhang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 23

Top Topics

Generalization Bounds

Binary Matrices

Top Venues

IEEE Trans. Inf. Theory

Publications

Yueqi Chen, Witold Pedrycz, Jian Wang, Chao Zhang, Jie Yang
A New Oversampling Method Based on Triangulation of Sample Space. IEEE Trans. Syst. Man Cybern. Syst. 54 (2) (2024)
Zongqi Liu, Xueguan Song, Jie Yang, Chao Zhang, Dacheng Tao
Generative adversarial networks for multi-fidelity matrix completion with massive missing entries. Inf. Fusion 111 (2024)
Fang Liu, Witold Pedrycz, Chao Zhang, Jie Yang, Wei Wu
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Trans. Fuzzy Syst. 31 (12) (2023)
Zongqi Liu, Xueguan Song, Chao Zhang, Yunsheng Ma, Dacheng Tao
RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling. Eng. Appl. Artif. Intell. 120 (2023)
Wensheng Li, Chao Zhang, Chuncheng Wang, Hanting Guan, Dacheng Tao
Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method. CoRR (2022)
Lixue Liu, Xueguan Song, Chao Zhang, Dacheng Tao
GAN-MDF: An Enabling Method for Multifidelity Data Fusion. IEEE Internet Things J. 9 (15) (2022)
Lixue Liu, Chao Zhang, Dacheng Tao
GAN-MDF: A Method for Multi-fidelity Data Fusion in Digital Twins. CoRR (2021)
Yueqi Xu, Xueguan Song, Chao Zhang
Hierarchical regression framework for multi-fidelity modeling. Knowl. Based Syst. 212 (2021)
Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao
Efficient Vision Transformers via Fine-Grained Manifold Distillation. CoRR (2021)
Chao Zhang, Dacheng Tao, Tao Hu, Bingchen Liu
Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Xianjie Gao, Xueguan Song, Maolin Shi, Chao Zhang, Hongwei Zhang
Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods. CoRR (2021)
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications. IEEE Trans. Inf. Theory 66 (2) (2020)
Sibo Yang, Chao Zhang, Yuan Bao, Jie Yang, Wei Wu
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems. Neural Process. Lett. 52 (1) (2020)
Xianjie Gao, Chao Zhang, Hongwei Zhang
Small-Deviation Inequalities for Sums of Random Matrices. Symmetry 11 (5) (2019)
Sibo Yang, Chao Zhang, Wei Wu
Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems. IEEE Access 7 (2019)
Junhong Zhao, Maolin Shi, Gang Hu, Xueguan Song, Chao Zhang, Dacheng Tao, Wei Wu
A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. IEEE Access 7 (2019)
Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao
On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications. CoRR (2019)
Chun Hua, Feng Li, Chao Zhang, Jie Yang, Wei Wu
A Genetic XK-Means Algorithm with Empty Cluster Reassignment. Symmetry 11 (6) (2019)
Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao
Generalization Bounds for Vicinal Risk Minimization Principle. CoRR (2018)
Yan Liu, Dakun Yang, Chao Zhang
regularizer for Sigma-Pi-Sigma neural network. Neurocomputing 272 (2018)
Sibo Yang, Chao Zhang, Wei Wu
Binary output layer of feedforward neural networks for solving multi-class classification problems. CoRR (2018)
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. CoRR (2018)
Chao Zhang, Lei Du, Dacheng Tao
LSV-Based Tail Inequalities for Sums of Random Matrices. Neural Comput. 29 (1) (2017)
Chao Zhang, Dacheng Tao, Tao Hu, Xiang Li
Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning. CoRR (2014)
Chao Zhang, Dacheng Tao
Risk bounds of learning processes for Lévy processes. J. Mach. Learn. Res. 14 (1) (2013)
Chao Zhang, Dacheng Tao
Structure of Indicator Function Classes With Finite Vapnik-Chervonenkis Dimensions. IEEE Trans. Neural Networks Learn. Syst. 24 (7) (2013)
Chao Zhang, Wei Bian, Dacheng Tao, Weisi Lin
Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes. IEEE Trans. Neural Networks Learn. Syst. 23 (9) (2012)
Chao Zhang, Dacheng Tao
Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains. IEEE Trans. Neural Networks Learn. Syst. 23 (12) (2012)
Chao Zhang, Dacheng Tao
Risk Bounds for Infinitely Divisible Distribution CoRR (2012)
Chao Zhang, Dacheng Tao
Risk Bounds for Infinitely Divisible Distribution. UAI (2011)
Chao Zhang, Dacheng Tao
Generalization Bound for Infinitely Divisible Empirical Process. AISTATS (2011)
Chao Zhang, Jie Yang, Wei Wu
Binary Higher Order Neural Networks for Realizing Boolean Functions. IEEE Trans. Neural Networks 22 (5) (2011)
Chao Zhang, Dacheng Tao
Risk Bounds for Levy Processes in the PAC-Learning Framework. AISTATS (2010)
Chao Zhang, Dacheng Tao
Error Bounds for Real Function Classes Based on Discretized Vapnik-Chervonenkis Dimensions. Aust. J. Intell. Inf. Process. Syst. 12 (3) (2010)
Yan Xiong, Wei Wu, Xidai Kang, Chao Zhang
Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update. Neural Comput. 19 (12) (2007)
Chao Zhang, Wei Wu, Yan Xiong
Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks. Neural Process. Lett. 26 (3) (2007)
Xidai Kang, Yan Xiong, Chao Zhang, Wei Wu
Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks. FOCI (2007)