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Jinglei Liu
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2020 – today
- 2025
- [j35]Hongli Zhang, Jinglei Liu
:
Jointly stochastic fully symmetric interpolatory rules and local approximation for scalable Gaussian process regression. Pattern Recognit. 159: 111125 (2025) - [j34]Xingyu Li, Jinglei Liu:
Graph convolutional and random Fourier feature mapping for hyperspectral image clustering. J. Supercomput. 81(1): 193 (2025) - 2024
- [j33]Mengyuan Zhang, Jinglei Liu
:
Join multiple Riemannian manifold representation and multi-kernel non-redundancy for image clustering. CAAI Trans. Intell. Technol. 9(5): 1305-1319 (2024) - [j32]Xusheng Zhao, Jinglei Liu
:
Joint contrastive self-supervised learning and weak-orthogonal product quantization for fast image retrieval. Knowl. Based Syst. 304: 112541 (2024) - [j31]Yanming Liu, Jinglei Liu
:
Leveraging self-paced learning and deep sparse embedding for image clustering. Neural Comput. Appl. 36(10): 5135-5151 (2024) - [j30]Jinglei Liu
, Weixun Zhou
, Haiyan Guan
, Wenzhi Zhao
:
Similarity Learning for Land Use Scene-Level Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6501-6513 (2024) - [j29]Jinglei Liu, Xiuxin Li, Jinyuan Cao, Zhengchun Duan, Qingzhi Ye, Guishuai Feng:
Geometric Parameter Effects on Bandgap Characteristics of Periodic Pile Barriers in Passive Vibration Isolation. Symmetry 16(9): 1130 (2024) - [c8]Mengjie Li
, Hongyi Zhang, Siqi He, Haozhe Zhu, Hao Zhang, Jinglei Liu, Jiayuan Chen, Zhenping Hu, Xiaoyang Zeng, Chixiao Chen:
A 19.7 TFLOPS/W Multiply-less Logarithmic Floating-Point CIM Architecture with Error-Reduced Compensated Approximate Adder. ISCAS 2024: 1-5 - 2023
- [j28]Kunyan Zhong, Jinglei Liu
:
Image classification based on weighted nonconvex low-rank and discriminant least squares regression. Appl. Intell. 53(18): 20844-20862 (2023) - [j27]Yechao Cheng, Jinglei Liu
:
One-step subspace clustering based on adaptive graph regularization and correntropy induced metric. Appl. Intell. 53(21): 25850-25867 (2023) - [j26]Xinyu Li, Hui Fan, Jinglei Liu:
One-step unsupervised clustering based on information theoretic metric and adaptive neighbor manifold regularization. Eng. Appl. Artif. Intell. 120: 105880 (2023) - [j25]Zhaoqun Shi
, Jinglei Liu
:
Noise-tolerant clustering via joint doubly stochastic matrix regularization and dual sparse coding. Expert Syst. Appl. 222: 119814 (2023) - [j24]Xinyu Li, Hui Fan, Jinglei Liu:
Entropy Regularized Unsupervised Clustering Based on Maximum Correntropy Criterion and Adaptive Neighbors. IEICE Trans. Inf. Syst. 106(1): 82-85 (2023) - [j23]Hongli Zhang, Jinglei Liu:
Large-Scale Gaussian Process Regression Based on Random Fourier Features and Local Approximation with Tsallis Entropy. IEICE Trans. Inf. Syst. 106(10): 1747-1751 (2023) - [j22]Hengxin Lei
, Jinglei Liu
, Yong Yu
:
Exemplar-based large-scale low-rank matrix decomposition for collaborative prediction. Int. J. Comput. Math. 100(3): 615-640 (2023) - [j21]Xinyu Li, Hui Fan, Jinglei Liu:
Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization. Inf. Sci. 626: 42-59 (2023) - [j20]Yongwei Gai, Jinglei Liu:
Clustering by sparse orthogonal NMF and interpretable neural network. Multim. Syst. 29(6): 3341-3356 (2023) - 2022
- [c7]Weiqing Yan, Jindong Xu, Jinglei Liu, Guanghui Yue, Chang Tang:
Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering. ACM Multimedia 2022: 3403-3411 - 2021
- [j19]Zhongyuan Wang, Jinglei Liu
:
Consensus kernel subspace clustering based on coefficient discriminant information. Appl. Soft Comput. 113(Part): 107987 (2021) - [j18]Min Zhao, Jinglei Liu
:
Robust clustering with sparse corruption via ℓ2, 1, ℓ1 norm constraint and Laplacian regularization. Expert Syst. Appl. 186: 115704 (2021) - 2020
- [j17]Zhongyuan Wang
, Jinglei Liu:
Multiple Kernel Subspace Clustering Based on Consensus Hilbert Space and Second-Order Neighbors. IEEE Access 8: 124633-124645 (2020) - [j16]Min Zhao
, Jinglei Liu:
Adaptive Graph Regularized Low-Rank Matrix Factorization With Noise and Outliers for Clustering. IEEE Access 8: 171851-171863 (2020) - [j15]Zheng Tan, Hang Yu, Wei Wei
, Jinglei Liu
:
Top-K interesting preference rules mining based on MaxClique. Expert Syst. Appl. 143 (2020)
2010 – 2019
- 2019
- [j14]Su Liu
, Jinglei Liu:
CP-Nets Structure Learning Based on mRMCR Principle. IEEE Access 7: 121482-121492 (2019) - [j13]Jingshu Liu, Li Wang, Jinglei Liu:
Efficient preference clustering via random fourier features. Big Data Min. Anal. 2(3): 195-204 (2019) - 2018
- [j12]Zhaowei Liu, Zhaolin Zhong, Chenghui Zhang
, Yanwei Yu
, Jinglei Liu:
Learning CP-Nets Structure From Preference Data Streams. IEEE Access 6: 56716-56726 (2018) - [j11]Lihong Wang
, Qiang Li, Yanwei Yu
, Jinglei Liu
:
Region compatibility based stability assessment for decision trees. Expert Syst. Appl. 105: 112-128 (2018) - [j10]Meijiao Yang, Jinglei Liu:
基于Nystrm采样和凸NMF的偏好聚类 (Preference Clustering Based on Nystrm Sampling and Convex-NMF). 计算机科学 45(1): 55-61 (2018) - [j9]Jinglei Liu, Shizhong Liao:
CP-nets学习的复杂度 (Complexity of CP-nets Learning). 计算机科学 45(6): 211-215 (2018) - 2017
- [j8]Xuejiao Sun, Jinglei Liu, Kai Wang
:
Operators of preference composition for CP-nets. Expert Syst. Appl. 86: 32-41 (2017) - [j7]Peng Song, Shifeng Ou, Zhenbin Du, Yanyan Guo, Wenming Ma, Jinglei Liu, Wenming Zheng:
Learning Corpus-Invariant Discriminant Feature Representations for Speech Emotion Recognition. IEICE Trans. Inf. Syst. 100-D(5): 1136-1139 (2017) - [j6]Jianpeng Qi
, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang:
An effective and efficient hierarchical K-means clustering algorithm. Int. J. Distributed Sens. Networks 13(8) (2017) - 2016
- [j5]Peng Song, Shifeng Ou, Xinran Zhang, Yun Jin, Wenming Zheng, Jinglei Liu, Yanwei Yu:
Transfer Semi-Supervised Non-Negative Matrix Factorization for Speech Emotion Recognition. IEICE Trans. Inf. Syst. 99-D(10): 2647-2650 (2016) - [j4]Jie Liu, Jinglei Liu
:
The Treewidth of Induced Graphs of Conditional Preference Networks Is Small. Inf. 7(1): 5 (2016) - [j3]Peng Song, Wenming Zheng, Shifeng Ou, Xinran Zhang, Yun Jin, Jinglei Liu, Yanwei Yu:
Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization. Speech Commun. 83: 34-41 (2016) - [c6]Jianpeng Qi
, Yanwei Yu, Lihong Wang, Jinglei Liu:
K*-Means: An Effective and Efficient K-Means Clustering Algorithm. BDCloud-SocialCom-SustainCom 2016: 242-249 - 2015
- [j2]Jinglei Liu, Shizhong Liao:
Expressive efficiency of two kinds of specific CP-nets. Inf. Sci. 295: 379-394 (2015) - [j1]Xuejiao Sun, Jinglei Liu:
CP-nets的可满足性序列求解算法研究 (Research on Algorithm of Satisfiability Ranking Generation for CP-nets). 计算机科学 42(5): 270-273 (2015) - [c5]Xiantao Cheng, Zengqiang Luo, Jinglei Liu:
Joint estimation and compensation of transmitter and receiver IQ imbalances in millimeter-wave SC-FDE systems. ICC 2015: 1274-1279 - 2010
- [c4]Xuejiao Sun, Jinglei Liu:
Representation and realization of binary-valued CP-nets in single-branch tree. FSKD 2010: 1908-1911 - [c3]Zhenrong Zhang, Wei Zhang, Jinglei Liu:
An anytime algorithm for optimal coalition structure generation. ICNC 2010: 2889-2893
2000 – 2009
- 2009
- [c2]Qin Gong, Xi Chen, Jinglei Liu:
The Image Representation of Auricular Points Resistance Mapping. BMEI 2009: 1-5 - [c1]Jinglei Liu, Wei Zhang, Lingling Wang:
Model and Application of Optimal Coalition Structure. FSKD (4) 2009: 326-330
Coauthor Index
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last updated on 2025-01-20 22:51 CET by the dblp team
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