Chao Zhang - RankMe

46 papers A 3Journal 42Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	(δ, ε)-K Segmentation for Characterizing Well-Clusterable Sets. IEEE Trans. Neural Networks Learn. Syst. Xinyu Chen, Jian Wang, Jie Yang, Chao Zhang, Dacheng Tao
2025	J	`jnl`	AdaPW: An adaptive point-weighting method for training physics-informed neural networks. Comput. Math. Appl. Wensheng Li, Hao Wang, Hanting Guan, Ruifeng Zhou, Chao Zhang, Dacheng Tao
2025	J	`jnl`	Adaptively Point-weighting Curriculum Learning. CoRR Wensheng Li, Hao Wang, Ruifeng Zhou, Hanting Guan, Chao Zhang, Dacheng Tao
2025	J	`jnl`	Conformal Prediction-Based Multifidelity Data Fusion for Digital Twins. IEEE Internet Comput. Baofei Xia, Hao Wang, Xueguan Song, Chao Zhang
2025	J	`jnl`	Generative adversarial physics-informed neural networks for solving forward and inverse problem with small labeled samples. Comput. Math. Appl. Wensheng Li, Chuncheng Wang, Hanting Guan, Jian Wang, Jie Yang, Chao Zhang, Dacheng Tao
2025	J	`jnl`	Interpretable inverse iteration mean shift networks for clustering tasks. Neural Networks Bingjie Zhang, Zihan Yu, Jian Wang, Maciej Zelaszczyk, Yaqian Zhang, Jacek Mandziuk, Chao Zhang, Witold Pedrycz
2025	J	`jnl`	Multifidelity Data Fusion Mechanism for Digital Twins via the Internet of Things. IEEE Internet Comput. Hao Wang, Xueguan Song, Chao Zhang
2025	J	`jnl`	Oversampling With GAN via Meta-Learning for Imbalanced Data. IEEE Trans. Multim. Yueqi Chen, Witold Pedrycz, Chao Zhang, Jian Wang, Jie Yang
2024	J	`jnl`	A New Oversampling Method Based on Triangulation of Sample Space. IEEE Trans. Syst. Man Cybern. Syst. Yueqi Chen, Witold Pedrycz, Jian Wang, Chao Zhang, Jie Yang
2024	J	`jnl`	Generative adversarial networks for multi-fidelity matrix completion with massive missing entries. Inf. Fusion Zongqi Liu, Xueguan Song, Jie Yang, Chao Zhang, Dacheng Tao
2024	J	`jnl`	Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. Neurocomputing Bingjie Zhang, Jian Wang, Chao Zhang, Jie Yang, Tufan Kumbasar, Wei Wu
2023	J	`jnl`	Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Trans. Fuzzy Syst. Fang Liu, Witold Pedrycz, Chao Zhang, Jie Yang, Wei Wu
2023	J	`jnl`	RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling. Eng. Appl. Artif. Intell. Zongqi Liu, Xueguan Song, Chao Zhang, Yunsheng Ma, Dacheng Tao
2022	J	`jnl`	GAN-MDF: An Enabling Method for Multifidelity Data Fusion. IEEE Internet Things J. Lixue Liu, Xueguan Song, Chao Zhang, Dacheng Tao
2022	J	`jnl`	Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method. CoRR Wensheng Li, Chao Zhang, Chuncheng Wang, Hanting Guan, Dacheng Tao
2021	J	`jnl`	A New Oversampling Method Based on the Classification Contribution Degree. Symmetry Zhenhao Jiang, Tingting Pan, Chao Zhang, Jie Yang
2021	J	`jnl`	GAN-MDF: A Method for Multi-fidelity Data Fusion in Digital Twins. CoRR Lixue Liu, Chao Zhang, Dacheng Tao
2021	J	`jnl`	Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning. IEEE Trans. Neural Networks Learn. Syst. Chao Zhang, Dacheng Tao, Tao Hu, Bingchen Liu
2021	J	`jnl`	Hierarchical regression framework for multi-fidelity modeling. Knowl. Based Syst. Yueqi Xu, Xueguan Song, Chao Zhang
2021	J	`jnl`	Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods. CoRR Xianjie Gao, Xueguan Song, Maolin Shi, Chao Zhang, Hongwei Zhang
2020	J	`jnl`	Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems. Neural Process. Lett. Sibo Yang, Chao Zhang, Yuan Bao, Jie Yang, Wei Wu
2020	J	`jnl`	Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications. IEEE Trans. Inf. Theory Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
2019	J	`jnl`	A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data. IEEE Access Junhong Zhao, Maolin Shi, Gang Hu, Xueguan Song, Chao Zhang, Dacheng Tao, Wei Wu
2019	J	`jnl`	A Genetic XK-Means Algorithm with Empty Cluster Reassignment. Symmetry Chun Hua, Feng Li, Chao Zhang, Jie Yang, Wei Wu
2019	J	`jnl`	Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems. IEEE Access Sibo Yang, Chao Zhang, Wei Wu
2019	J	`jnl`	On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications. CoRR Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao
2019	J	`jnl`	Small-Deviation Inequalities for Sums of Random Matrices. Symmetry Xianjie Gao, Chao Zhang, Hongwei Zhang
2018	J	`jnl`	Binary output layer of feedforward neural networks for solving multi-class classification problems. CoRR Sibo Yang, Chao Zhang, Wei Wu
2018	J	`jnl`	Generalization Bounds for Vicinal Risk Minimization Principle. CoRR Chao Zhang, Min-Hsiu Hsieh, Dacheng Tao
2018	J	`jnl`	Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. CoRR Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao
2018	J	`jnl`	Relaxed conditions for convergence analysis of online back-propagation algorithm with L Neurocomputing Yan Liu, Dakun Yang, Chao Zhang
2017	J	`jnl`	LSV-Based Tail Inequalities for Sums of Random Matrices. Neural Comput. Chao Zhang, Lei Du, Dacheng Tao
2014	J	`jnl`	Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning. CoRR Chao Zhang, Dacheng Tao, Tao Hu, Xiang Li
2013	J	`jnl`	Risk bounds of learning processes for Lévy processes. J. Mach. Learn. Res. Chao Zhang, Dacheng Tao
2013	J	`jnl`	Structure of Indicator Function Classes With Finite Vapnik-Chervonenkis Dimensions. IEEE Trans. Neural Networks Learn. Syst. Chao Zhang, Dacheng Tao
2012	J	`jnl`	Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes. IEEE Trans. Neural Networks Learn. Syst. Chao Zhang, Wei Bian, Dacheng Tao, Weisi Lin
2012	J	`jnl`	Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains. IEEE Trans. Neural Networks Learn. Syst. Chao Zhang, Dacheng Tao
2012	J	`jnl`	Risk Bounds for Infinitely Divisible Distribution CoRR Chao Zhang, Dacheng Tao
2011	J	`jnl`	Binary Higher Order Neural Networks for Realizing Boolean Functions. IEEE Trans. Neural Networks Chao Zhang, Jie Yang, Wei Wu
2011	A	`conf`	Generalization Bound for Infinitely Divisible Empirical Process. AISTATS Chao Zhang, Dacheng Tao
2011	A	`conf`	Risk Bounds for Infinitely Divisible Distribution. UAI Chao Zhang, Dacheng Tao
2010	J	`jnl`	Error Bounds for Real Function Classes Based on Discretized Vapnik-Chervonenkis Dimensions. Aust. J. Intell. Inf. Process. Syst. Chao Zhang, Dacheng Tao
2010	A	`conf`	Risk Bounds for Levy Processes in the PAC-Learning Framework. AISTATS Chao Zhang, Dacheng Tao
2007	J	`jnl`	Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks. Neural Process. Lett. Chao Zhang, Wei Wu, Yan Xiong
2007	—	`conf`	Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks. FOCI Xidai Kang, Yan Xiong, Chao Zhang, Wei Wu
2007	J	`jnl`	Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update. Neural Comput. Yan Xiong, Wei Wu, Xidai Kang, Chao Zhang