Lingfeng Niu - RankMe

89 papers A* 1B 3C 1Misc 5Journal 50Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graph transformer with high-degree nodes anchoring for graph partitioning. Neural Networks Zhengxi Yang, Lingfeng Niu, Minglong Lei
2025	J	`jnl`	A universal network strategy for lightspeed computation of entropy-regularized optimal transport. Neural Networks Yong Shi, Lei Zheng, Pei Quan, Yang Xiao, Lingfeng Niu
2025	J	`jnl`	ExGAT: Context extended graph attention neural network. Neural Networks Pei Quan, Lei Zheng, Wen Zhang, Yang Xiao, Lingfeng Niu, Yong Shi
2025	J	`jnl`	Sparse loss-aware ternarization for neural networks. Inf. Sci. Ruizhi Zhou, Lingfeng Niu, Dachuan Xu
2024	J	`jnl`	Sparse optimization guided pruning for neural networks. Neurocomputing Yong Shi, Anda Tang, Lingfeng Niu, Ruizhi Zhou
2024	J	`jnl`	Two-level adversarial attacks for graph neural networks. Inf. Sci. Chengxi Song, Lingfeng Niu, Minglong Lei
2024	J	`jnl`	Wasserstein distance regularized graph neural networks. Inf. Sci. Yong Shi, Lei Zheng, Pei Quan, Lingfeng Niu
2023	J	`jnl`	A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs. CoRR Ruibin Zeng, Minglong Lei, Lingfeng Niu, Lan Cheng
2023	J	`jnl`	Diluted binary neural network. Pattern Recognit. Yuhan Lin, Lingfeng Niu, Yang Xiao, Ruizhi Zhou
2023	J	`jnl`	Federated learning with ℓ1 regularization. Pattern Recognit. Lett. Yong Shi, Yuanying Zhang, Peng Zhang, Yang Xiao, Lingfeng Niu
2023	J	`jnl`	Graph Influence Network. IEEE Trans. Cybern. Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu
2023	J	`jnl`	Training Compact DNNs with ℓ1/2 Regularization. Pattern Recognit. Anda Tang, Lingfeng Niu, Jianyu Miao, Peng Zhang
2022	J	`jnl`	DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu
2022	J	`jnl`	Graph regularized locally linear embedding for unsupervised feature selection. Pattern Recognit. Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi
2022	J	`jnl`	Knowledge Graph Embedding by Double Limit Scoring Loss. IEEE Trans. Knowl. Data Eng. Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo
2022	J	`jnl`	Latent neighborhood-based heterogeneous graph representation. Neural Networks Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2022	—	`conf`	Optimal Transport Guided Node Classification in Cross Networks. ITQM Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu
2022	—	`conf`	Optimization Strategies for Client Drift in Federated Learning: A review. ITQM Yong Shi, Yuanying Zhang, Yang Xiao, Lingfeng Niu
2022	J	`jnl`	Sparse CapsNet with explicit regularizer. Pattern Recognit. Ruiyang Shi, Lingfeng Niu, Ruizhi Zhou
2022	—	`conf`	Sparse Learning for Neural Networks with A Generalized Sparse Regularization. ITQM Anda Tang, Tongsheng Yao, Lingfeng Niu, Yong Shi
2022	J	`jnl`	Towards Compact Broad Learning System by Combined Sparse Regularization. Int. J. Inf. Technol. Decis. Mak. Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lijun Sun, Lingfeng Niu, Yong Shi
2021	—	`conf`	A brief survey on Computational Gromov-Wasserstein distance. ITQM Lei Zheng, Yang Xiao, Lingfeng Niu
2021	—	`conf`	A survey of sparse regularization based compression methods. ITQM Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi
2021	J	`jnl`	Anomaly detection in dynamic attributed networks. Neural Comput. Appl. Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin
2021	J	`jnl`	Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. Neural Networks Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2021	J	`jnl`	Document-level relation extraction via graph transformer networks and temporal convolutional networks. Pattern Recognit. Lett. Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
2021	J	`jnl`	Latent Network Embedding via Adversarial Auto-encoders. CoRR Minglong Lei, Yong Shi, Lingfeng Niu
2021	J	`jnl`	Multi-task Self-distillation for Graph-based Semi-Supervised Learning. CoRR Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei
2021	J	`jnl`	Unsupervised feature selection by non-convex regularized self-representation. Expert Syst. Appl. Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu
2021	J	`jnl`	Unsupervised feature selection for attributed graphs. Expert Syst. Appl. Ruizhi Zhou, Lingfeng Niu, Hong Yang
2020	—	`conf`	A brief survey on Capsule Network. WI/IAT Ruiyang Shi, Lingfeng Niu
2020	A*	`conf`	Discrete Embedding for Latent Networks. IJCAI Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
2020	J	`jnl`	Feature Selection of Network Data VIA ℓ Cogn. Comput. Ruizhi Zhou, Lingfeng Niu
2020	—	`conf`	GGTAN: Graph Gated Talking-Heads Attention Networks for Traveling Salesman Problem. WI/IAT Shichao Guo, Yang Xiao, Lingfeng Niu
2019	—	`conf`	A Brief Review of Receptive Fields in Graph Convolutional Networks. WI (Companion) Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu
2019	—	`conf`	A Brief Survey of Relation Extraction Based on Distant Supervision. ICCS (3) Yong Shi, Yang Xiao, Lingfeng Niu
2019	J	`jnl`	Diffusion network embedding. Pattern Recognit. Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu
2019	J	`jnl`	Fast kernel extreme learning machine for ordinal regression. Knowl. Based Syst. Yong Shi, Peijia Li, Hao Yuan, Jianyu Miao, Lingfeng Niu
2019	J	`jnl`	Feature selection with MCP $$^2$$ 2 regularization. Neural Comput. Appl. Yong Shi, Jianyu Miao, Lingfeng Niu
2019	J	`jnl`	Graph-Based Clustering via Group Sparsity and Manifold Regularization. IEEE Access Jianyu Miao, Tiejun Yang, Junwei Jin, Lingfeng Niu
2019	J	`jnl`	Joint Sparse Regularization for Dictionary Learning. Cogn. Comput. Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu
2019	J	`jnl`	Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access Yong Shi, Minglong Lei, Rongrong Ma, Lingfeng Niu
2019	—	`conf`	Optimization Strategies in Quantized Neural Networks: A Review. ICDM Workshops Yuhan Lin, Minglong Lei, Lingfeng Niu
2019	C	`conf`	Sparse Optimization Based on Non-convex ℓ ICDS Anda Tang, Rongrong Ma, Jianyu Miao, Lingfeng Niu
2019	J	`jnl`	Transformed ℓ1 regularization for learning sparse deep neural networks. Neural Networks Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
2019	J	`jnl`	Transformed 𝓁 CoRR Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
2018	J	`jnl`	A Novel Large-scale Ordinal Regression Model. CoRR Yong Shi, Huadong Wang, Xin Shen, Lingfeng Niu
2018	B	`conf`	A Survey of Sparse-Learning Methods for Deep Neural Networks. WI Rongrong Ma, Lingfeng Niu
2018	J	`jnl`	A fast algorithm for nonsmooth penalized clustering. Neurocomputing Ruizhi Zhou, Xin Shen, Lingfeng Niu
2018	J	`jnl`	Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
2018	—	`conf`	Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal. ITQM Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang
2018	—	`conf`	Compact Deep Neural Networks with ℓ1, 1 and ℓ1, 2 Regularization. ICDM Workshops Rongrong Ma, Lingfeng Niu
2018	—	`conf`	Deep Streaming Graph Representations. ICCS (3) Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu
2018	J	`jnl`	Diffusion Based Network Embedding. CoRR Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu
2018	J	`jnl`	Feature Selection With ℓ IEEE Trans. Neural Networks Learn. Syst. Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu
2018	—	`conf`	Kernel Extreme Learning Machine for Learning from Label Proportions. ICCS (2) Hao Yuan, Bo Wang, Lingfeng Niu
2018	J	`jnl`	Pedestrian detection based on the privileged information. Neural Comput. Appl. Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu
2018	B	`conf`	The Applications of Stochastic Models in Network Embedding: A Survey. WI Minglong Lei, Yong Shi, Lingfeng Niu
2017	—	`conf`	A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection. ICDM Workshops Jianyu Miao, Yong Shi, Lingfeng Niu
2017	B	`conf`	Augmented SVM with ordinal partitioning for text classification. WI Yong Shi, Peijia Li, Lingfeng Niu
2017	Misc	`conf`	Large-scale Nonparallel Support Vector Ordinal Regression Solver. ICCS Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi
2017	J	`jnl`	Learning With Label Proportions via NPSVM. IEEE Trans. Cybern. Zhiquan Qi, Bo Wang, Fan Meng, Lingfeng Niu
2017	J	`jnl`	Nonparallel Support Vector Ordinal Regression. IEEE Trans. Cybern. Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian
2017	J	`jnl`	Nonsmooth Penalized Clustering via ℓ IEEE Trans. Cybern. Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang
2017	J	`jnl`	Support vector machine classifier with truncated pinball loss. Pattern Recognit. Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian
2016	—	`conf`	Robust Unsupervised Feature Learning from Time-Series. WI Workshops Jianyu Miao, Yong Shi, Lingfeng Niu
2015	—	`conf`	Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. ICDM Workshops Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi
2015	J	`jnl`	Kernel based simple regularized multiple criteria linear program for binary classification and regression. Intell. Data Anal. Xi Zhao, Yong Shi, Lingfeng Niu
2015	—	`conf`	Large-Scale Linear Support Vector Ordinal Regression Solver. ICDM Workshops Yong Shi, Huadong Wang, Lingfeng Niu
2015	—	`conf`	Pedestrian Detection Using Privileged Information. ICDM Workshops Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi
2015	J	`jnl`	Semi-supervised classification with privileged information. Int. J. Mach. Learn. Cybern. Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Bo Wang
2015	—	`conf`	Smoothing Trust Region for Digital Image Restoration. WI-IAT (3) Ruizhi Zhou, Lingfeng Niu, Zhiquan Qi
2014	—	`conf`	A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector Machines. WI-IAT (1) Lingfeng Niu, Xi Zhao, Yong Shi
2013	—	`conf`	A Simple Decomposition Alternating Direction Method for Matrix Completion. ITQM Lingfeng Niu, Xi Zhao
2013	Misc	`conf`	A Simple Regularized Multiple Criteria Linear Programs for Binary Classification. ICCS Lingfeng Niu, Xi Zhao, Yong Shi
2013	—	`conf`	Kernel Based Simple Regularized Multiple Criteria Linear Programs for Binary Classification. Web Intelligence/IAT Workshops Xi Zhao, Lingfeng Niu, Yong Shi
2013	J	`jnl`	Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization. SIAM J. Optim. Xiaojun Chen, Lingfeng Niu, Yaxiang Yuan
2012	Misc	`conf`	Entity Disambiguation with Textual and Connection Information. ICCS Lingfeng Niu, Jianmin Wu, Yong Shi
2012	—	`conf`	Learning Using Privileged Information with L-1 Support Vector Machine. Web Intelligence/IAT Workshops Lingfeng Niu, Yong Shi, Jianmin Wu
2012	—	`conf`	Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information. ICDM Workshops Lingfeng Niu, Jianmin Wu
2012	J	`jnl`	Training the max-margin sequence model with the relaxed slack variables. Neural Networks Lingfeng Niu, Jianmin Wu, Yong Shi
2011	J	`jnl`	A parallel decomposition algorithm for training multiclass kernel-based vector machines. Optim. Methods Softw. Lingfeng Niu, Yaxiang Yuan
2011	—	`conf`	Entity Resolution with Attribute and Connection Graph. ICDM Workshops Lingfeng Niu, Jianmin Wu, Yong Shi
2011	—	`conf`	MSSVM: A Modular Solver for Support Vector Machines. Web Intelligence/IAT Workshops Lingfeng Niu, Yong Shi
2011	J	`jnl`	Parallel algorithm for training multiclass proximal Support Vector Machines. Appl. Math. Comput. Lingfeng Niu
2011	Misc	`conf`	Second-order Mining for Active Collaborative Filtering. ICCS Lingfeng Niu, Jianmin Wu, Yong Shi
2010	Misc	`conf`	A new training method for sequence data. ICCS Lingfeng Niu, Yong Shi
2010	—	`conf`	Semi-supervised PLSA for Document Clustering. ICDM Workshops Lingfeng Niu, Yong Shi
2010	—	`conf`	Using Projection Gradient Method to Train Linear Support Vector Machines. Web Intelligence/IAT Workshops Lingfeng Niu, Yong Shi