Multiple cues integration for part-based adaptive workpieces detection. - Di Wang 008; Xiaoqin Zhang 002; Wei Liu 005; Mingyu Fan (FSKD, 2012)

Manifold based fisher method for semi-supervised feature selection. - Sunzhong Lv; Hongxing Jiang; Li Zhao 005; Di Wang 008; Mingyu Fan (FSKD, 2013)

Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors. - Xiaoqin Zhang 002; Di Wang 008; Zhengyuan Zhou; Yi Ma 001 (NIPS, 2013)

Hybrid Singular Value Thresholding for Tensor Completion. - Xiaoqin Zhang 002; Zhengyuan Zhou; Di Wang 008; Yi Ma 001 (AAAI, 2014)

A kernel-based sparsity preserving method for semi-supervised classification. - Nannan Gu; Di Wang 008; Mingyu Fan; Deyu Meng (Neurocomputing, 2014)

Building an Effective Template Dictionary for Robust Offline Video Tracking. - Fei Liu; Xiaoqin Zhang 002; Mingyu Fan; Di Wang 008; Hongxing Jiang; Xiuzi Ye (CCCV (1), 2015)

An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines. - Di Wang 008; Xiaoqin Zhang 002; Mingyu Fan; Xiuzi Ye (IJCAI, 2015)

Multi-Modality Tracker Aggregation: From Generative to Discriminative. - Xiaoqin Zhang 002; Wei Li 034; Mingyu Fan; Di Wang 008; Xiuzi Ye (IJCAI, 2015)

An Efficient Semi-Supervised Classifier Based on Block-Polynomial Mapping. - Di Wang 008; Xiaoqin Zhang 002; Mingyu Fan; Xiuzi Ye (IEEE Signal Process. Lett., 2015)

Semi-Supervised Dictionary Learning via Structural Sparse Preserving. - Di Wang 008; Xiaoqin Zhang 002; Mingyu Fan; Xiuzi Ye (AAAI, 2016)

Low-Rank Tensor Recovery and Alignment Based on ell _p Minimization. - Kaifei Zhang; Di Wang 008; Xiaoqin Zhang 002; Nannan Gu; Hongxing Jiang; Xiuzi Ye (ACCV Workshops (1), 2016)

Hierarchical mixing linear support vector machines for nonlinear classification. - Di Wang 008; Xiaoqin Zhang 002; Mingyu Fan; Xiuzi Ye (Pattern Recognit., 2016)

Top-k Supervise Feature Selection via ADMM for Integer Programming. - Mingyu Fan; Xiaojun Chang; Xiaoqin Zhang 002; Di Wang 008; Liang Du 003 (IJCAI, 2017)

Semi-Supervised Dictionary Learning Based on Atom Graph Regularization. - Xiaoqin Zhang 002; Qianqian Liu; Di Wang 008; Jie Hu; Nannan Gu; Tianhao Wang 006 (IEEE BigData, 2018)

Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification. - Lei Zhang; Di Wang 008; Xiaoqin Zhang 002; Nannan Gu; Mingyu Fan (ICIP, 2018)

Convergence of decomposition methods for support vector machines. - Qiaozhi Zhang; Di Wang 008; Yanguo Wang (Neurocomputing, 2018)

Multi-View Subspace Clustering based on Tensor Schatten-p Norm. - Yongli Liu; Xiaoqin Zhang 002; Guiying Tang; Di Wang 008 (IEEE BigData, 2019)

Structural Dictionary Learning based on Non-convex Surrogate of ℓ₂, ₁ Norm for Classification. - Xiaoju Lu; Guiying Tang; Di Wang 008; Xiaoqin Zhang 002; Jingjing Zheng (IEEE BigData, 2019)

Structure regularized self-paced learning for robust semi-supervised pattern classification. - Nannan Gu; Pengying Fan; Mingyu Fan; Di Wang 008 (Neural Comput. Appl., 2019)

Structured Dictionary Learning with Block Diagonal Regularization for Image Classification. - Manman Xu; Runhua Jiang; Tao Wang 052; Di Wang 008; Xiaoju Lu (IEEE BigData, 2020)

Distributed Kernel Ridge Regression with Communications. - Shao-Bo Lin; Di Wang 008; Ding-Xuan Zhou (J. Mach. Learn. Res., 2020)

Exemplar-Based Denoising: A Unified Low-Rank Recovery Framework. - Xiaoqin Zhang 002; Jingjing Zheng; Di Wang 008; Li Zhao 005 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint. - Xiaoqin Zhang 002; Qianqian Liu; Di Wang 008; Li Zhao 005; Nannan Gu; Stephen J. Maybank (IEEE Trans. Ind. Informatics, 2020)

Robust Low-Rank Tensor Recovery with Rectification and Alignment. - Xiaoqin Zhang 002; Di Wang 008; Zhengyuan Zhou; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Random Sketching for Neural Networks With ReLU. - Di Wang 008; Jinshan Zeng; Shao-Bo Lin (IEEE Trans. Neural Networks Learn. Syst., 2021)

Top-k Feature Selection Framework Using Robust 0-1 Integer Programming. - Xiaoqin Zhang 002; Mingyu Fan; Di Wang 008; Peng Zhou 006; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2021)

Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications. - Shao-Bo Lin; Shaojie Tang 001; Yao Wang 003; Di Wang 008 (INFORMS J. Comput., 2022)

Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes. - Di Wang 008; Yao Wang 003; Shaojie Tang 001; Shao-Bo Lin (CoRR, 2023)

Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos. - Di Wang 008; Xiaotong Liu; Shao-Bo Lin; Ding-Xuan Zhou (CoRR, 2023)

Distributed Uncertainty Quantification of Kernel Interpolation on Spheres. - Shao-Bo Lin; Xingping Sun; Di Wang 008 (CoRR, 2023)

Structured Sparsity Optimization With Non-Convex Surrogates of $ ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework. - Xiaoqin Zhang 002; Jingjing Zheng; Di Wang 008; Guiying Tang; Zhengyuan Zhou; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Construction of Deep ReLU Nets for Spatially Sparse Learning. - Xia Liu; Di Wang 008; Shao-Bo Lin (IEEE Trans. Neural Networks Learn. Syst., 2023)

Component-based Sketching for Deep ReLU Nets. - Di Wang 008; Shao-Bo Lin; Deyu Meng; Feilong Cao (CoRR, 2024)

Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data. - Xiaotong Liu; Jinxin Wang; Di Wang 008; Shao-Bo Lin (SIAM J. Imaging Sci., 2024)

Sketching with Spherical Designs for Noisy Data Fitting on Spheres. - Shao-Bo Lin; Di Wang 008; Ding-Xuan Zhou (SIAM J. Sci. Comput., 2024)

Robust Tensor Completion With Side Information. - Yao Wang 003; Qianxin Yi; Yiyang Yang; Shanxing Gao; Shaojie Tang 001; Di Wang 008 (IEEE Trans. Knowl. Data Eng., 2025)