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Publication search results
found 36 matches
- 2024
- Hengming Zhao, Rongcun Qin, Dianhua Wu:
Balanced ($\mathbb{Z} _{2u}\times \mathbb{Z}_{38v}$, {3, 4, 5}, 1) difference packings and related codes. Adv. Math. Commun. 18(1): 163-178 (2024) - Hengmin Zhang
, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha, Bihan Wen:
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Inf. Fusion 108: 102347 (2024) - Hengmin Zhang
, Junbin Gao
, Jianjun Qian
, Jian Yang, Chunyan Xu
, Bob Zhang
:
Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis. IEEE Trans. Circuits Syst. Video Technol. 34(2): 828-838 (2024) - Hengmin Zhang
, Jian Yang, Jianjun Qian
, Guangwei Gao
, Xiangyuan Lan, Zhiyuan Zha
, Bihan Wen
:
Efficient Image Classification via Structured Low-Rank Matrix Factorization Regression. IEEE Trans. Inf. Forensics Secur. 19: 1496-1509 (2024) - Hengmin Zhang
, Jiaoyan Zhao, Bob Zhang
, Chen Gong
, Jianjun Qian
, Jian Yang
:
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3012-3026 (2024) - 2023
- Hengming Dai, Xiangyun Hu, Zhen Shu, Nannan Qin, Jinming Zhang
:
Deep Ground Filtering of Large-Scale ALS Point Clouds via Iterative Sequential Ground Prediction. Remote. Sens. 15(4): 961 (2023) - Hengmin Zhang
, Shuyi Li, Jing Qiu
, Yang Tang
, Jie Wen
, Zhiyuan Zha
, Bihan Wen
:
Efficient and Effective Nonconvex Low-Rank Subspace Clustering via SVT-Free Operators. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7515-7529 (2023) - Hengmin Zhang
, Feng Qian
, Bob Zhang
, Wenli Du
, Jianjun Qian
, Jian Yang
:
Incorporating Linear Regression Problems Into an Adaptive Framework With Feasible Optimizations. IEEE Trans. Multim. 25: 4041-4051 (2023) - Hengmin Zhang
, Feng Qian
, Peng Shi
, Wenli Du
, Yang Tang
, Jianjun Qian
, Chen Gong
, Jian Yang
:
Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5342-5353 (2023) - 2022
- Hengming Zhao, Rongcun Qin, Dianhua Wu:
Constructions of balanced (N, M, {4, 5}, 1;2) Multilength Variable-Weight optical orthogonal codes. Adv. Math. Commun. 16(4): 1197-1209 (2022) - Rongcun Qin, Hengming Zhao
, Huangsheng Yu:
Compatible difference packing set systems and their applications to multilength variable-weight OOCs. Des. Codes Cryptogr. 90(11): 2613-2645 (2022) - Hengmin Zhu, Li Qian, Wang Qin, Jing Wei, Chao Shen:
Evolution analysis of online topics based on 'word-topic' coupling network. Scientometrics 127(7): 3767-3792 (2022) - Jianjun Qian
, Wai Keung Wong
, Hengmin Zhang
, Jin Xie, Jian Yang
:
Joint Optimal Transport With Convex Regularization for Robust Image Classification. IEEE Trans. Cybern. 52(3): 1553-1564 (2022) - Hengmin Zhang
, Feng Qian
, Fanhua Shang
, Wenli Du
, Jianjun Qian
, Jian Yang
:
Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems. IEEE Trans. Cybern. 52(5): 3276-3288 (2022) - Guo Yu
, Lianbo Ma
, Yaochu Jin
, Wenli Du
, Qiqi Liu
, Hengmin Zhang
:
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 26(6): 1452-1472 (2022) - Jun Zhang
, Xiong Du
, Cheng Qian
, Rui Du, Xinyue Hu, Heng-Ming Tai
:
Thermal Management of IGBT Module in the Wind Power Converter Based on the ROI. IEEE Trans. Ind. Electron. 69(8): 8513-8523 (2022) - 2021
- Hengming Zhao
, Rongcun Qin:
Bounds and constructions for multilength variable-weight optical orthogonal codes. Discret. Math. 344(1): 112170 (2021) - Hengming Zhao
, Rongcun Qin, Dianhua Wu:
On balanced (Z4u×Z8v, {4, 5}, 1) difference packings. Discret. Math. 344(11): 112552 (2021) - Jianjun Qian, Shumin Zhu, Wai Keung Wong, Hengmin Zhang
, Zhihui Lai, Jian Yang:
Dual robust regression for pattern classification. Inf. Sci. 546: 1014-1029 (2021) - Zheshuo Zhang
, Jie Zhang, Jiawen Dai, Bangji Zhang, Hengmin Qi:
A Fusion Algorithm for Estimating Time-Independent/-Dependent Parameters and States. Sensors 21(12): 4068 (2021) - Hengmin Zhang, Wei Luo, Wenli Du, Jianjun Qian, Jian Yang, Bob Zhang
:
Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization. ICIG (2) 2021: 106-119 - 2020
- Yuyun Ye
, Miao Tian
, Qiyu Liu, Heng-Ming Tai
:
Pulmonary Nodule Detection Using V-Net and High-Level Descriptor Based SVM Classifier. IEEE Access 8: 176033-176041 (2020) - Hengmin Zhang
, Jianjun Qian
, Bob Zhang
, Jian Yang, Chen Gong
, Yang Wei
:
Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees. IEEE Trans. Image Process. 29: 3132-3142 (2020) - Hengmin Zhang, Wenli Du, Xiaoqian Liu, Bob Zhang
, Feng Qian:
Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications. ICCSIP 2020: 121-130 - 2019
- Wei Li, Hengming Zhao, Rongcun Qin, Dianhua Wu:
Constructions of optimal balanced (m, n, 4, 5, 1)-OOSPCs. Adv. Math. Commun. 13(2): 329-341 (2019) - Rongcun Qin, Hengming Zhao:
Constructions for optimal (u×v, {3, 4}, 1, Q)-OOSPCs. Discret. Math. 342(7): 1924-1948 (2019) - Hengmin Zhang
, Chen Gong
, Jianjun Qian
, Bob Zhang
, Chunyan Xu
, Jian Yang
:
Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2916-2925 (2019) - Hengmin Zhang
, Jianjun Qian
, Junbin Gao
, Jian Yang
, Chunyan Xu
:
Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2825-2839 (2019) - Xianjie Mo, Tingting Wei, Hengmin Zhang, Qiong Huang, Wei Luo
:
Label-Smooth Learning for Fine-Grained Visual Categorization. ACPR (1) 2019: 17-31 - 2017
- Hengmin Zhang, Jian Yang, Jianjun Qian, Wei Luo:
Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise. Neurocomputing 269: 188-198 (2017)
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