Jinglei Liu

According to our database, Jinglei Liu authored at least 43 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Graph convolutional and random Fourier feature mapping for hyperspectral image clustering.

Xingyu Li, Jinglei Liu

J. Supercomput., January, 2025

Jointly stochastic fully symmetric interpolatory rules and local approximation for scalable Gaussian process regression.

Hongli Zhang, Jinglei Liu

Pattern Recognit., 2025

2024

Geometric Parameter Effects on Bandgap Characteristics of Periodic Pile Barriers in Passive Vibration Isolation.

Jinglei Liu, Xiuxin Li, Jinyuan Cao, Zhengchun Duan, Qingzhi Ye, Guishuai Feng

Symmetry, September, 2024

Leveraging self-paced learning and deep sparse embedding for image clustering.

Yanming Liu, Jinglei Liu

Neural Comput. Appl., April, 2024

Similarity Learning for Land Use Scene-Level Change Detection.

Jinglei Liu, Weixun Zhou, Haiyan Guan, Wenzhi Zhao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Joint contrastive self-supervised learning and weak-orthogonal product quantization for fast image retrieval.

Xusheng Zhao, Jinglei Liu

Knowl. Based Syst., 2024

Join multiple Riemannian manifold representation and multi-kernel non-redundancy for image clustering.

Mengyuan Zhang, Jinglei Liu

CAAI Trans. Intell. Technol., 2024

A 19.7 TFLOPS/W Multiply-less Logarithmic Floating-Point CIM Architecture with Error-Reduced Compensated Approximate Adder.

Mengjie Li, Hongyi Zhang, Siqi He, Haozhe Zhu, Hao Zhang, Jinglei Liu, Jiayuan Chen, Zhenping Hu, Xiaoyang Zeng, Chixiao Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

Clustering by sparse orthogonal NMF and interpretable neural network.

Yongwei Gai, Jinglei Liu

Multim. Syst., December, 2023

One-step subspace clustering based on adaptive graph regularization and correntropy induced metric.

Yechao Cheng, Jinglei Liu

Appl. Intell., November, 2023

Large-Scale Gaussian Process Regression Based on Random Fourier Features and Local Approximation with Tsallis Entropy.

Hongli Zhang, Jinglei Liu

IEICE Trans. Inf. Syst., October, 2023

Image classification based on weighted nonconvex low-rank and discriminant least squares regression.

Kunyan Zhong, Jinglei Liu

Appl. Intell., September, 2023

Noise-tolerant clustering via joint doubly stochastic matrix regularization and dual sparse coding.

Zhaoqun Shi, Jinglei Liu

Expert Syst. Appl., July, 2023

Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization.

Xinyu Li, Hui Fan, Jinglei Liu

Inf. Sci., May, 2023

One-step unsupervised clustering based on information theoretic metric and adaptive neighbor manifold regularization.

Xinyu Li, Hui Fan, Jinglei Liu

Eng. Appl. Artif. Intell., April, 2023

Exemplar-based large-scale low-rank matrix decomposition for collaborative prediction.

Hengxin Lei, Jinglei Liu, Yong Yu

Int. J. Comput. Math., March, 2023

Entropy Regularized Unsupervised Clustering Based on Maximum Correntropy Criterion and Adaptive Neighbors.

Xinyu Li, Hui Fan, Jinglei Liu

IEICE Trans. Inf. Syst., 2023

2022

Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering.

Weiqing Yan, Jindong Xu, Jinglei Liu, Guanghui Yue, Chang Tang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Robust clustering with sparse corruption via ℓ2, 1, ℓ1 norm constraint and Laplacian regularization.

Min Zhao, Jinglei Liu

Expert Syst. Appl., 2021

Consensus kernel subspace clustering based on coefficient discriminant information.

Zhongyuan Wang, Jinglei Liu

Appl. Soft Comput., 2021

2020

Top-<i>K</i> interesting preference rules mining based on MaxClique.

Zheng Tan, Hang Yu, Wei Wei, Jinglei Liu

Expert Syst. Appl., 2020

Adaptive Graph Regularized Low-Rank Matrix Factorization With Noise and Outliers for Clustering.

Min Zhao, Jinglei Liu

IEEE Access, 2020

Multiple Kernel Subspace Clustering Based on Consensus Hilbert Space and Second-Order Neighbors.

Zhongyuan Wang, Jinglei Liu

IEEE Access, 2020

2019

Efficient preference clustering via random fourier features.

Jingshu Liu, Li Wang, Jinglei Liu

Big Data Min. Anal., 2019

CP-Nets Structure Learning Based on mRMCR Principle.

Su Liu, Jinglei Liu

IEEE Access, 2019

2018

基于Nystrm采样和凸NMF的偏好聚类 (Preference Clustering Based on Nystrm Sampling and Convex-NMF).

Meijiao Yang, Jinglei Liu

计算机科学, 2018

CP-nets学习的复杂度 (Complexity of CP-nets Learning).

Jinglei Liu, Shizhong Liao

计算机科学, 2018

Region compatibility based stability assessment for decision trees.

Lihong Wang, Qiang Li, Yanwei Yu, Jinglei Liu

Expert Syst. Appl., 2018

Learning CP-Nets Structure From Preference Data Streams.

Zhaowei Liu, Zhaolin Zhong, Chenghui Zhang, Yanwei Yu, Jinglei Liu

IEEE Access, 2018

2017

An effective and efficient hierarchical <i>K</i>-means clustering algorithm.

Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang

Int. J. Distributed Sens. Networks, 2017

Learning Corpus-Invariant Discriminant Feature Representations for Speech Emotion Recognition.

Peng Song, Shifeng Ou, Zhenbin Du, Yanyan Guo, Wenming Ma, Jinglei Liu, Wenming Zheng

IEICE Trans. Inf. Syst., 2017

Operators of preference composition for CP-nets.

Xuejiao Sun, Jinglei Liu, Kai Wang

Expert Syst. Appl., 2017

2016

Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization.

Peng Song, Wenming Zheng, Shifeng Ou, Xinran Zhang, Yun Jin, Jinglei Liu, Yanwei Yu

Speech Commun., 2016

The Treewidth of Induced Graphs of Conditional Preference Networks Is Small.

Jie Liu, Jinglei Liu

Inf., 2016

Transfer Semi-Supervised Non-Negative Matrix Factorization for Speech Emotion Recognition.

Peng Song, Shifeng Ou, Xinran Zhang, Yun Jin, Wenming Zheng, Jinglei Liu, Yanwei Yu

IEICE Trans. Inf. Syst., 2016

K*-Means: An Effective and Efficient K-Means Clustering Algorithm.

Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015

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).

Xuejiao Sun, Jinglei Liu

计算机科学, 2015

Expressive efficiency of two kinds of specific CP-nets.

Jinglei Liu, Shizhong Liao

Inf. Sci., 2015

Joint estimation and compensation of transmitter and receiver IQ imbalances in millimeter-wave SC-FDE systems.

Xiantao Cheng, Zengqiang Luo, Jinglei Liu

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2010

An anytime algorithm for optimal coalition structure generation.

Zhenrong Zhang, Wei Zhang, Jinglei Liu

Proceedings of the Sixth International Conference on Natural Computation, 2010

Representation and realization of binary-valued CP-nets in single-branch tree.

Xuejiao Sun, Jinglei Liu

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

Model and Application of Optimal Coalition Structure.

Jinglei Liu, Wei Zhang, Lingling Wang

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

The Image Representation of Auricular Points Resistance Mapping.

Qin Gong, Xi Chen, Jinglei Liu

Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009