Di Wang - RankMe

41 papers A* 5B 1Journal 26Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos. J. Mach. Learn. Res. Shao-Bo Lin, Xiaotong Liu, Di Wang, Hai Zhang, Ding-Xuan Zhou
2025	J	`jnl`	Distributed uncertainty quantification of kernel interpolation on spheres. Math. Comput. Shao-Bo Lin, Xingping Sun, Di Wang
2025	J	`jnl`	Robust Tensor Completion With Side Information. IEEE Trans. Knowl. Data Eng. Yao Wang, Qianxin Yi, Yiyang Yang, Shanxing Gao, Shaojie Tang, Di Wang
2024	J	`jnl`	Component-based Sketching for Deep ReLU Nets. CoRR Di Wang, Shao-Bo Lin, Deyu Meng, Feilong Cao
2024	J	`jnl`	Sketching with Spherical Designs for Noisy Data Fitting on Spheres. SIAM J. Sci. Comput. Shao-Bo Lin, Di Wang, Ding-Xuan Zhou
2024	J	`jnl`	Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data. CoRR Xiaotong Liu, Jinxin Wang, Di Wang, Shao-Bo Lin
2024	J	`jnl`	Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data. SIAM J. Imaging Sci. Xiaotong Liu, Jinxin Wang, Di Wang, Shao-Bo Lin
2023	J	`jnl`	Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos. CoRR Di Wang, Xiaotong Liu, Shao-Bo Lin, Ding-Xuan Zhou
2023	J	`jnl`	Construction of Deep ReLU Nets for Spatially Sparse Learning. IEEE Trans. Neural Networks Learn. Syst. Xia Liu, Di Wang, Shao-Bo Lin
2023	J	`jnl`	Distributed Uncertainty Quantification of Kernel Interpolation on Spheres. CoRR Shao-Bo Lin, Xingping Sun, Di Wang
2023	J	`jnl`	Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes. CoRR Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin
2023	J	`jnl`	Sketching with Spherical Designs for Noisy Data Fitting on Spheres. CoRR Shaobo Lin, Di Wang, Ding-Xuan Zhou
2023	J	`jnl`	Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin
2022	J	`jnl`	Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications. INFORMS J. Comput. Shao-Bo Lin, Shaojie Tang, Yao Wang, Di Wang
2021	J	`jnl`	Random Sketching for Neural Networks With ReLU. IEEE Trans. Neural Networks Learn. Syst. Di Wang, Jinshan Zeng, Shao-Bo Lin
2021	J	`jnl`	Robust Low-Rank Tensor Recovery with Rectification and Alignment. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma
2021	J	`jnl`	Top-k Feature Selection Framework Using Robust 0-1 Integer Programming. IEEE Trans. Neural Networks Learn. Syst. Xiaoqin Zhang, Mingyu Fan, Di Wang, Peng Zhou, Dacheng Tao
2020	J	`jnl`	Distributed Kernel Ridge Regression with Communications. CoRR Shao-Bo Lin, Di Wang, Ding-Xuan Zhou
2020	J	`jnl`	Distributed Kernel Ridge Regression with Communications. J. Mach. Learn. Res. Shao-Bo Lin, Di Wang, Ding-Xuan Zhou
2020	J	`jnl`	Exemplar-Based Denoising: A Unified Low-Rank Recovery Framework. IEEE Trans. Circuits Syst. Video Technol. Xiaoqin Zhang, Jingjing Zheng, Di Wang, Li Zhao
2020	J	`jnl`	Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint. IEEE Trans. Ind. Informatics Xiaoqin Zhang, Qianqian Liu, Di Wang, Li Zhao, Nannan Gu, Stephen J. Maybank
2020	—	`conf`	Structured Dictionary Learning with Block Diagonal Regularization for Image Classification. IEEE BigData Manman Xu, Runhua Jiang, Tao Wang, Di Wang, Xiaoju Lu
2019	—	`conf`	Multi-View Subspace Clustering based on Tensor Schatten-p Norm. IEEE BigData Yongli Liu, Xiaoqin Zhang, Guiying Tang, Di Wang
2019	—	`conf`	Structural Dictionary Learning based on Non-convex Surrogate of ℓ₂, ₁ Norm for Classification. IEEE BigData Xiaoju Lu, Guiying Tang, Di Wang, Xiaoqin Zhang, Jingjing Zheng
2019	J	`jnl`	Structure regularized self-paced learning for robust semi-supervised pattern classification. Neural Comput. Appl. Nannan Gu, Pengying Fan, Mingyu Fan, Di Wang
2018	J	`jnl`	Convergence of decomposition methods for support vector machines. Neurocomputing Qiaozhi Zhang, Di Wang, Yanguo Wang
2018	—	`conf`	Semi-Supervised Dictionary Learning Based on Atom Graph Regularization. IEEE BigData Xiaoqin Zhang, Qianqian Liu, Di Wang, Jie Hu, Nannan Gu, Tianhao Wang
2018	B	`conf`	Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification. ICIP Lei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Mingyu Fan
2017	A*	`conf`	Top-k Supervise Feature Selection via ADMM for Integer Programming. IJCAI Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du
2016	J	`jnl`	Hierarchical mixing linear support vector machines for nonlinear classification. Pattern Recognit. Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye
2016	—	`conf`	Low-Rank Tensor Recovery and Alignment Based on \ell _p Minimization. ACCV Workshops (1) Kaifei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Hongxing Jiang, Xiuzi Ye
2016	A*	`conf`	Semi-Supervised Dictionary Learning via Structural Sparse Preserving. AAAI Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye
2015	A*	`conf`	An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines. IJCAI Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye
2015	J	`jnl`	An Efficient Semi-Supervised Classifier Based on Block-Polynomial Mapping. IEEE Signal Process. Lett. Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye
2015	—	`conf`	Building an Effective Template Dictionary for Robust Offline Video Tracking. CCCV (1) Fei Liu, Xiaoqin Zhang, Mingyu Fan, Di Wang, Hongxing Jiang, Xiuzi Ye
2015	A*	`conf`	Multi-Modality Tracker Aggregation: From Generative to Discriminative. IJCAI Xiaoqin Zhang, Wei Li, Mingyu Fan, Di Wang, Xiuzi Ye
2014	J	`jnl`	A kernel-based sparsity preserving method for semi-supervised classification. Neurocomputing Nannan Gu, Di Wang, Mingyu Fan, Deyu Meng
2014	A*	`conf`	Hybrid Singular Value Thresholding for Tensor Completion. AAAI Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma
2013	—	`conf`	Manifold based fisher method for semi-supervised feature selection. FSKD Sunzhong Lv, Hongxing Jiang, Li Zhao, Di Wang, Mingyu Fan
2013	—	`conf`	Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors. NIPS Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma
2012	—	`conf`	Multiple cues integration for part-based adaptive workpieces detection. FSKD Di Wang, Xiaoqin Zhang, Wei Liu, Mingyu Fan