Hailin Wang

39 papers A* 5Misc 3Journal 31
YearRankTypeTitle / Venue / Authors
2026 A* conf
Fast Guaranteed Robust Local-Smooth Principal Component Separation.
AAAI
Mingdi Hu, Hailin Wang, Shuaijiang Li, Kexin Shi, Jiangjun Peng
2026 J jnl
Multi-Dimensional Visual Data Recovery: Scale-Aware Tensor Modeling and Accelerated Randomized Computation.
CoRR
Wenjin Qin, Hailin Wang, Jiangjun Peng, Jianjun Wang, Tingwen Huang
2026 J jnl
Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling.
IEEE Trans. Circuits Syst. Video Technol.
Zhiqiang Kou, Haoyuan Xuan, Jingyu Zhu, Hailin Wang, Ming-Kun Xie, Changwei Wang, Jing Wang, Yuheng Jia, Xin Geng
2025 J jnl
Accelerating Large-Scale Regularized High-Order Tensor Recovery.
CoRR
Wenjin Qin, Hailin Wang, Jingyao Hou, Jian-Jun Wang
2025 A* conf
Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm.
IJCAI
Jiangjun Peng, Hailin Wang, Xiangyong Cao, Shuang Xu
2025 J jnl
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory.
CoRR
Hao Shu, Jicheng Li, Yu Jin, Hailin Wang
2025 J jnl
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory.
IEEE Trans. Signal Process.
Hao Shu, Jicheng Li, Yu Jin, Hailin Wang
2025 J jnl
Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization.
IEEE Trans. Geosci. Remote. Sens.
Wenjin Qin, Hailin Wang, Hao Shu, Feng Zhang, Jianjun Wang, Xiangyong Cao, Xi-Le Zhao, Gemine Vivone
2025 A* conf
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning.
IJCAI
Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025 J jnl
Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation.
CoRR
Zhiqiang Kou, Si Qin, Hailin Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2024 J jnl
Infrared Small Target Detection via Joint Low Rankness and Local Smoothness Prior.
IEEE Trans. Geosci. Remote. Sens.
Pei Liu, Jiangjun Peng, Hailin Wang, Danfeng Hong, Xiangyong Cao
2024 J jnl
Learnable Representative Coefficient Image Denoiser for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Jiangjun Peng, Hailin Wang, Xiangyong Cao, Qian Zhao, Jing Yao, Hongying Zhang, Deyu Meng
2024 J jnl
Low-Rank Tensor Completion With 3-D Spatiotemporal Transform for Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst.
Hao Shu, Hailin Wang, Jiangjun Peng, Deyu Meng
2024 J jnl
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation.
IEEE Trans. Image Process.
Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, Tingwen Huang
2024 J jnl
Stable Local-Smooth Principal Component Pursuit.
SIAM J. Imaging Sci.
Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng
2024 J jnl
Tensor Ring Decomposition-Based Generalized and Efficient Nonconvex Approach for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens.
Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xiangyong Cao, Xi-Le Zhao
2024 J jnl
Tensor recovery from binary measurements fused low-rankness and smoothness.
Signal Process.
Jingyao Hou, Xinling Liu, Hailin Wang, Ke Guo
2023 J jnl
Fluorescence microscopy images denoising via deep convolutional sparse coding.
Signal Process. Image Commun.
Ge Chen, Jianjun Wang, Hailin Wang, Jinming Wen, Yi Gao, Yongjian Xu
2023 J jnl
Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting.
Appl. Intell.
Feng Zhang, Hailin Wang, Wenjin Qin, Xile Zhao, Jianjun Wang
2023 J jnl
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness.
CoRR
Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng
2023 J jnl
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness.
IEEE Trans. Pattern Anal. Mach. Intell.
Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng
2023 J jnl
Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng
2023 J jnl
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation.
CoRR
Wenjin Qin, Hailin Wang, Feng Zhang, Weijun Ma, Jianjun Wang, Tingwen Huang
2023 A* conf
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent.
NeurIPS
Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng
2023 A* conf
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness.
AAAI
Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang
2022 J jnl
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.
CoRR
Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinlin Liu, Xiangyu Rui, Deyu Meng
2022 J jnl
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.
IEEE Trans. Geosci. Remote. Sens.
Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinling Liu, Xiangyu Rui, Deyu Meng
2022 J jnl
Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery.
IEEE Trans. Neural Networks Learn. Syst.
Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu
2022 J jnl
High-order tensor low-rank approximation with application in color video recovery.
J. Electronic Imaging
Zhihao Wang, Wenjin Qin, Zhongcheng Wu, Hailin Wang, Jianjun Wang
2022 J jnl
Low-Rank High-Order Tensor Completion With Applications in Visual Data.
IEEE Trans. Image Process.
Wenjin Qin, Hailin Wang, Feng Zhang, Jianjun Wang, Xin Luo, Tingwen Huang
2022 Misc conf
Robust High-Order Tensor Recovery Via Nonconvex Low-Rank Approximation.
ICASSP
Wenjin Qin, Hailin Wang, Weijun Ma, Jianjun Wang
2021 J jnl
An optimal condition of robust low-rank matrices recovery.
Int. J. Wirel. Mob. Comput.
Jianwen Huang, Sanfu Wang, Jianjun Wang, Feng Zhang, Hailin Wang, Jinping Jia
2021 J jnl
Denoising convolutional neural network inspired via multi-layer convolutional sparse coding.
J. Electronic Imaging
Zejia Wen, Hailin Wang, Yingfan Gong, Jianjun Wang
2021 Misc conf
Non-Convex Sparse Deviation Modeling Via Generative Models.
ICASSP
Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang
2021 J jnl
Perturbation analysis of low-rank matrix stable recovery.
Int. J. Wavelets Multiresolution Inf. Process.
Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang
2021 J jnl
Robust low-rank tensor reconstruction using high-order t-SVD.
J. Electronic Imaging
Wenjin Qin, Hailin Wang, Feng Zhang, Mingwei Dai, Jianjun Wang
2020 J jnl
An analysis of noise folding for low-rank matrix recovery.
CoRR
Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang
2020 J jnl
CMCS-net: image compressed sensing with convolutional measurement via DCNN.
IET Image Process.
Yahong Xie, Hailin Wang, Jianjun Wang
2020 Misc conf
Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion.
ICASSP
Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang