Hailin Wang - RankMe

39 papers A* 5Misc 3Journal 31

Year	Rank	Type	Title / 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