Jinglei Liu - RankMe

57 papers A* 2C 1Misc 1Journal 48Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DA-DFGAS: Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation. AAAI Zhaowei Liu, Yihao Jiang, Rufei Gao, Jinglei Liu, Dong Yang
2026	J	`jnl`	GLF-Net: Global-local fusion network for radar signal modulation recognition. Expert Syst. Appl. Xingnong Liu, Xiaolin Du, Xiaolong Chen, Guolong Cui, Jibin Zheng, Wenming Ma, Jinglei Liu, Zhaowei Liu, Weiqing Yan
2026	J	`jnl`	Harnessing structure-aware graph representation and adaptive anchor graph learning for multi-view clustering. Digit. Signal Process. Xiaoran Li, Jinglei Liu
2026	J	`jnl`	Joint α -β-divergences reconstruction and non-convex sparse regularization for image clustering. Multim. Syst. Xiaoran Li, Jinglei Liu
2026	J	`jnl`	Large-scale least squares regression based on fast spectral embedding and random Fourier feature mapping. Big Data Res. Xingyu Li, Jinglei Liu
2026	J	`jnl`	Multi-spectral attention and graph smoothness enhancement for generalized node classification. Neural Networks Xinghai Wang, Jinglei Liu
2026	J	`jnl`	SqueezeComposer: Temporal Speed-up is A Simple Trick for Long-form Music Composing. CoRR Jianyi Chen, Rongxiu Zhong, Shilei Zhang, Kun Qian, Jinglei Liu, Yike Guo, Wei Xue
2025	J	`jnl`	Graph convolutional and random Fourier feature mapping for hyperspectral image clustering. J. Supercomput. Xingyu Li, Jinglei Liu
2025	J	`jnl`	Hybrid CNN-Transformer network with multi-scale attention for enhanced image compressive sensing. J. Supercomput. Yaqin Ma, Jinglei Liu
2025	J	`jnl`	Interpretable unsupervised neural network structure for data clustering via differentiable reconstruction of ONMF and sparse autoencoder. Neural Networks Yongwei Gai, Jinglei Liu
2025	J	`jnl`	Joint U-Nets with hierarchical graph structure and sparse Transformer for hyperspectral image classification. Expert Syst. Appl. Pengfei Zhu, Jinglei Liu
2025	J	`jnl`	Jointly stochastic fully symmetric interpolatory rules and local approximation for scalable Gaussian process regression. Pattern Recognit. Hongli Zhang, Jinglei Liu
2025	J	`jnl`	Latent manifold preservation and target prediction balance for unsupervised domain adaptation. Signal Image Video Process. Mengru Wang, Jinglei Liu
2025	J	`jnl`	Leveraging variant of CAE with sparse convolutional embedding and two-stage application-driven data augmentation for image clustering. Soft Comput. Yanming Liu, Jinglei Liu
2025	J	`jnl`	RM-BGNN: A weakly informative Bayesian graph neural network based on residual mechanism. Neurocomputing Jihao Dong, Zhaowei Liu, Dong Yang, Peng Song, Jinglei Liu, Anzuo Jiang
2024	C	`conf`	A 19.7 TFLOPS/W Multiply-less Logarithmic Floating-Point CIM Architecture with Error-Reduced Compensated Approximate Adder. ISCAS Mengjie Li, Hongyi Zhang, Siqi He, Haozhe Zhu, Hao Zhang, Jinglei Liu, Jiayuan Chen, Zhenping Hu, Xiaoyang Zeng, Chixiao Chen
2024	J	`jnl`	Geometric Parameter Effects on Bandgap Characteristics of Periodic Pile Barriers in Passive Vibration Isolation. Symmetry Jinglei Liu, Xiuxin Li, Jinyuan Cao, Zhengchun Duan, Qingzhi Ye, Guishuai Feng
2024	J	`jnl`	Join multiple Riemannian manifold representation and multi-kernel non-redundancy for image clustering. CAAI Trans. Intell. Technol. Mengyuan Zhang, Jinglei Liu
2024	J	`jnl`	Joint contrastive self-supervised learning and weak-orthogonal product quantization for fast image retrieval. Knowl. Based Syst. Xusheng Zhao, Jinglei Liu
2024	J	`jnl`	Leveraging self-paced learning and deep sparse embedding for image clustering. Neural Comput. Appl. Yanming Liu, Jinglei Liu
2024	J	`jnl`	Merit: multi-level graph embedding refinement framework for large-scale graph. Complex Intell. Syst. Weishuai Che, Zhaowei Liu, Yingjie Wang, Jinglei Liu
2024	J	`jnl`	Similarity Learning for Land Use Scene-Level Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jinglei Liu, Weixun Zhou, Haiyan Guan, Wenzhi Zhao
2023	J	`jnl`	Clustering by sparse orthogonal NMF and interpretable neural network. Multim. Syst. Yongwei Gai, Jinglei Liu
2023	J	`jnl`	Entropy Regularized Unsupervised Clustering Based on Maximum Correntropy Criterion and Adaptive Neighbors. IEICE Trans. Inf. Syst. Xinyu Li, Hui Fan, Jinglei Liu
2023	J	`jnl`	Exemplar-based large-scale low-rank matrix decomposition for collaborative prediction. Int. J. Comput. Math. Hengxin Lei, Jinglei Liu, Yong Yu
2023	J	`jnl`	Image classification based on weighted nonconvex low-rank and discriminant least squares regression. Appl. Intell. Kunyan Zhong, Jinglei Liu
2023	J	`jnl`	Large-Scale Gaussian Process Regression Based on Random Fourier Features and Local Approximation with Tsallis Entropy. IEICE Trans. Inf. Syst. Hongli Zhang, Jinglei Liu
2023	J	`jnl`	Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization. Inf. Sci. Xinyu Li, Hui Fan, Jinglei Liu
2023	J	`jnl`	Noise-tolerant clustering via joint doubly stochastic matrix regularization and dual sparse coding. Expert Syst. Appl. Zhaoqun Shi, Jinglei Liu
2023	J	`jnl`	One-step subspace clustering based on adaptive graph regularization and correntropy induced metric. Appl. Intell. Yechao Cheng, Jinglei Liu
2023	J	`jnl`	One-step unsupervised clustering based on information theoretic metric and adaptive neighbor manifold regularization. Eng. Appl. Artif. Intell. Xinyu Li, Hui Fan, Jinglei Liu
2022	A*	`conf`	Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering. ACM Multimedia Weiqing Yan, Jindong Xu, Jinglei Liu, Guanghui Yue, Chang Tang
2021	J	`jnl`	Consensus kernel subspace clustering based on coefficient discriminant information. Appl. Soft Comput. Zhongyuan Wang, Jinglei Liu
2021	J	`jnl`	Robust clustering with sparse corruption via ℓ2, 1, ℓ1 norm constraint and Laplacian regularization. Expert Syst. Appl. Min Zhao, Jinglei Liu
2020	J	`jnl`	Adaptive Graph Regularized Low-Rank Matrix Factorization With Noise and Outliers for Clustering. IEEE Access Min Zhao, Jinglei Liu
2020	J	`jnl`	Multiple Kernel Subspace Clustering Based on Consensus Hilbert Space and Second-Order Neighbors. IEEE Access Zhongyuan Wang, Jinglei Liu
2020	J	`jnl`	Top- Expert Syst. Appl. Zheng Tan, Hang Yu, Wei Wei, Jinglei Liu
2019	J	`jnl`	CP-Nets Structure Learning Based on mRMCR Principle. IEEE Access Su Liu, Jinglei Liu
2019	J	`jnl`	Efficient preference clustering via random fourier features. Big Data Min. Anal. Jingshu Liu, Li Wang, Jinglei Liu
2018	J	`jnl`	CP-nets学习的复杂度 (Complexity of CP-nets Learning). 计算机科学 Jinglei Liu, Shizhong Liao
2018	J	`jnl`	Learning CP-Nets Structure From Preference Data Streams. IEEE Access Zhaowei Liu, Zhaolin Zhong, Chenghui Zhang, Yanwei Yu, Jinglei Liu
2018	J	`jnl`	Region compatibility based stability assessment for decision trees. Expert Syst. Appl. Lihong Wang, Qiang Li, Yanwei Yu, Jinglei Liu
2018	J	`jnl`	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 Meijiao Yang, Jinglei Liu
2017	J	`jnl`	An effective and efficient hierarchical Int. J. Distributed Sens. Networks Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang
2017	J	`jnl`	Learning Corpus-Invariant Discriminant Feature Representations for Speech Emotion Recognition. IEICE Trans. Inf. Syst. Peng Song, Shifeng Ou, Zhenbin Du, Yanyan Guo, Wenming Ma, Jinglei Liu, Wenming Zheng
2017	J	`jnl`	Operators of preference composition for CP-nets. Expert Syst. Appl. Xuejiao Sun, Jinglei Liu, Kai Wang
2016	J	`jnl`	Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization. Speech Commun. Peng Song, Wenming Zheng, Shifeng Ou, Xinran Zhang, Yun Jin, Jinglei Liu, Yanwei Yu
2016	—	`conf`	K*-Means: An Effective and Efficient K-Means Clustering Algorithm. BDCloud-SocialCom-SustainCom Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu
2016	J	`jnl`	The Treewidth of Induced Graphs of Conditional Preference Networks Is Small. Inf. Jie Liu, Jinglei Liu
2016	J	`jnl`	Transfer Semi-Supervised Non-Negative Matrix Factorization for Speech Emotion Recognition. IEICE Trans. Inf. Syst. Peng Song, Shifeng Ou, Xinran Zhang, Yun Jin, Wenming Zheng, Jinglei Liu, Yanwei Yu
2015	J	`jnl`	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 Xuejiao Sun, Jinglei Liu
2015	J	`jnl`	Expressive efficiency of two kinds of specific CP-nets. Inf. Sci. Jinglei Liu, Shizhong Liao
2015	—	`conf`	Joint estimation and compensation of transmitter and receiver IQ imbalances in millimeter-wave SC-FDE systems. ICC Xiantao Cheng, Zengqiang Luo, Jinglei Liu
2010	Misc	`conf`	An anytime algorithm for optimal coalition structure generation. ICNC Zhenrong Zhang, Wei Zhang, Jinglei Liu
2010	—	`conf`	Representation and realization of binary-valued CP-nets in single-branch tree. FSKD Xuejiao Sun, Jinglei Liu
2009	—	`conf`	Model and Application of Optimal Coalition Structure. FSKD (4) Jinglei Liu, Wei Zhang, Lingling Wang
2009	—	`conf`	The Image Representation of Auricular Points Resistance Mapping. BMEI Qin Gong, Xi Chen, Jinglei Liu