Jinglei Liu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 31

Top Topics

Discriminant Information

Subspace Clustering

Top Venues

Expert Syst. Appl.

IEICE Trans. Inf. Syst.

计算机科学

Publications

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 (2024)
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)
Yanming Liu, Jinglei Liu
Leveraging self-paced learning and deep sparse embedding for image clustering. Neural Comput. Appl. 36 (10) (2024)
Yechao Cheng, Jinglei Liu
One-step subspace clustering based on adaptive graph regularization and correntropy induced metric. Appl. Intell. 53 (21) (2023)
Xinyu Li, Hui Fan, Jinglei Liu
Entropy Regularized Unsupervised Clustering Based on Maximum Correntropy Criterion and Adaptive Neighbors. IEICE Trans. Inf. Syst. 106 (1) (2023)
Hengxin Lei, Jinglei Liu, Yong Yu
Exemplar-based large-scale low-rank matrix decomposition for collaborative prediction. Int. J. Comput. Math. 100 (3) (2023)
Xinyu Li, Hui Fan, Jinglei Liu
Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization. Inf. Sci. 626 (2023)
Kunyan Zhong, Jinglei Liu
Image classification based on weighted nonconvex low-rank and discriminant least squares regression. Appl. Intell. 53 (18) (2023)
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) (2023)
Zhaoqun Shi, Jinglei Liu
Noise-tolerant clustering via joint doubly stochastic matrix regularization and dual sparse coding. Expert Syst. Appl. 222 (2023)
Yongwei Gai, Jinglei Liu
Clustering by sparse orthogonal NMF and interpretable neural network. Multim. Syst. 29 (6) (2023)
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 (2023)
Weiqing Yan, Jindong Xu, Jinglei Liu, Guanghui Yue, Chang Tang
Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering. ACM Multimedia (2022)
Min Zhao, Jinglei Liu
Robust clustering with sparse corruption via ℓ2, 1, ℓ1 norm constraint and Laplacian regularization. Expert Syst. Appl. 186 (2021)
Zhongyuan Wang, Jinglei Liu
Consensus kernel subspace clustering based on coefficient discriminant information. Appl. Soft Comput. 113 (Part) (2021)
Zhongyuan Wang, Jinglei Liu
Multiple Kernel Subspace Clustering Based on Consensus Hilbert Space and Second-Order Neighbors. IEEE Access 8 (2020)
Min Zhao, Jinglei Liu
Adaptive Graph Regularized Low-Rank Matrix Factorization With Noise and Outliers for Clustering. IEEE Access 8 (2020)
Zheng Tan, Hang Yu, Wei Wei, Jinglei Liu
interesting preference rules mining based on MaxClique. Expert Syst. Appl. 143 (2020)
Su Liu, Jinglei Liu
CP-Nets Structure Learning Based on mRMCR Principle. IEEE Access 7 (2019)
Jingshu Liu, Li Wang, Jinglei Liu
Efficient preference clustering via random fourier features. Big Data Min. Anal. 2 (3) (2019)
Lihong Wang, Qiang Li, Yanwei Yu, Jinglei Liu
Region compatibility based stability assessment for decision trees. Expert Syst. Appl. 105 (2018)
Jinglei Liu, Shizhong Liao
CP-nets学习的复杂度 (Complexity of CP-nets Learning). 计算机科学 45 (6) (2018)
Zhaowei Liu, Zhaolin Zhong, Chenghui Zhang, Yanwei Yu, Jinglei Liu
Learning CP-Nets Structure From Preference Data Streams. IEEE Access 6 (2018)
Meijiao Yang, Jinglei Liu
基于Nystrm采样和凸NMF的偏好聚类 (Preference Clustering Based on Nystrm Sampling and Convex-NMF). 计算机科学 45 (1) (2018)
Xuejiao Sun, Jinglei Liu, Kai Wang
Operators of preference composition for CP-nets. Expert Syst. Appl. 86 (2017)
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. (5) (2017)
Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang
-means clustering algorithm. Int. J. Distributed Sens. Networks 13 (8) (2017)
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. (10) (2016)
Jie Liu, Jinglei Liu
The Treewidth of Induced Graphs of Conditional Preference Networks Is Small. Inf. 7 (1) (2016)
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 (2016)
Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu
K*-Means: An Effective and Efficient K-Means Clustering Algorithm. BDCloud-SocialCom-SustainCom (2016)
Jinglei Liu, Shizhong Liao
Expressive efficiency of two kinds of specific CP-nets. Inf. Sci. 295 (2015)
Xiantao Cheng, Zengqiang Luo, Jinglei Liu
Joint estimation and compensation of transmitter and receiver IQ imbalances in millimeter-wave SC-FDE systems. ICC (2015)
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) (2015)
Zhenrong Zhang, Wei Zhang, Jinglei Liu
An anytime algorithm for optimal coalition structure generation. ICNC (2010)
Xuejiao Sun, Jinglei Liu
Representation and realization of binary-valued CP-nets in single-branch tree. FSKD (2010)
Jinglei Liu, Wei Zhang, Lingling Wang
Model and Application of Optimal Coalition Structure. FSKD (4) (2009)
Qin Gong, Xi Chen, Jinglei Liu
The Image Representation of Auricular Points Resistance Mapping. BMEI (2009)