Lingfeng Niu

According to our database, Lingfeng Niu authored at least 84 papers between 2010 and 2024.

Collaborative distances:

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

2024

Sparse optimization guided pruning for neural networks.

Yong Shi, Anda Tang, Lingfeng Niu, Ruizhi Zhou

Neurocomputing, March, 2024

Two-level adversarial attacks for graph neural networks.

Chengxi Song, Lingfeng Niu, Minglong Lei

Inf. Sci., January, 2024

2023

Graph Influence Network.

Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu

IEEE Trans. Cybern., October, 2023

Federated learning with ℓ1 regularization.

Yong Shi, Yuanying Zhang, Peng Zhang, Yang Xiao, Lingfeng Niu

Pattern Recognit. Lett., August, 2023

Diluted binary neural network.

Yuhan Lin, Lingfeng Niu, Yang Xiao, Ruizhi Zhou

Pattern Recognit., August, 2023

Training Compact DNNs with ℓ1/2 Regularization.

Anda Tang, Lingfeng Niu, Jianyu Miao, Peng Zhang

Pattern Recognit., April, 2023

A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs.

Ruibin Zeng, Minglong Lei, Lingfeng Niu, Lan Cheng

CoRR, 2023

2022

Knowledge Graph Embedding by Double Limit Scoring Loss.

Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo

IEEE Trans. Knowl. Data Eng., 2022

DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation.

Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu

IEEE Trans. Cybern., 2022

Sparse CapsNet with explicit regularizer.

Ruiyang Shi, Lingfeng Niu, Ruizhi Zhou

Pattern Recognit., 2022

Graph regularized locally linear embedding for unsupervised feature selection.

Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi

Pattern Recognit., 2022

Latent neighborhood-based heterogeneous graph representation.

Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu

Neural Networks, 2022

Towards Compact Broad Learning System by Combined Sparse Regularization.

Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lijun Sun, Lingfeng Niu, Yong Shi

Int. J. Inf. Technol. Decis. Mak., 2022

Optimal Transport Guided Node Classification in Cross Networks.

Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Sparse Learning for Neural Networks with A Generalized Sparse Regularization.

Anda Tang, Tongsheng Yao, Lingfeng Niu, Yong Shi

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Optimization Strategies for Client Drift in Federated Learning: A review.

Yong Shi, Yuanying Zhang, Yang Xiao, Lingfeng Niu

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021

Document-level relation extraction via graph transformer networks and temporal convolutional networks.

Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu

Pattern Recognit. Lett., 2021

Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision.

Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu

Neural Networks, 2021

Anomaly detection in dynamic attributed networks.

Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin

Neural Comput. Appl., 2021

Unsupervised feature selection for attributed graphs.

Ruizhi Zhou, Lingfeng Niu, Hong Yang

Expert Syst. Appl., 2021

Unsupervised feature selection by non-convex regularized self-representation.

Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu

Expert Syst. Appl., 2021

Multi-task Self-distillation for Graph-based Semi-Supervised Learning.

Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei

CoRR, 2021

Latent Network Embedding via Adversarial Auto-encoders.

Minglong Lei, Yong Shi, Lingfeng Niu

CoRR, 2021

A brief survey on Computational Gromov-Wasserstein distance.

Lei Zheng, Yang Xiao, Lingfeng Niu

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

A survey of sparse regularization based compression methods.

Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2020

Feature Selection of Network Data VIA ℓ_{2, p} Regularization.

Ruizhi Zhou, Lingfeng Niu

Cogn. Comput., 2020

A brief survey on Capsule Network.

Ruiyang Shi, Lingfeng Niu

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

GGTAN: Graph Gated Talking-Heads Attention Networks for Traveling Salesman Problem.

Shichao Guo, Yang Xiao, Lingfeng Niu

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Discrete Embedding for Latent Networks.

Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Diffusion network embedding.

Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu

Pattern Recognit., 2019

Transformed ℓ1 regularization for learning sparse deep neural networks.

Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang

Neural Networks, 2019

Feature selection with MCP $$^2$$ 2 regularization.

Yong Shi, Jianyu Miao, Lingfeng Niu

Neural Comput. Appl., 2019

Fast kernel extreme learning machine for ordinal regression.

Yong Shi, Peijia Li, Hao Yuan, Jianyu Miao, Lingfeng Niu

Knowl. Based Syst., 2019

Transformed 𝓁₁ Regularization for Learning Sparse Deep Neural Networks.

Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang

CoRR, 2019

Joint Sparse Regularization for Dictionary Learning.

Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu

Cogn. Comput., 2019

Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity.

Yong Shi, Minglong Lei, Rongrong Ma, Lingfeng Niu

IEEE Access, 2019

Graph-Based Clustering via Group Sparsity and Manifold Regularization.

Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lingfeng Niu

IEEE Access, 2019

A Brief Review of Receptive Fields in Graph Convolutional Networks.

Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Sparse Optimization Based on Non-convex ℓ _1/2 Regularization for Deep Neural Networks.

Anda Tang, Rongrong Ma, Jianyu Miao, Lingfeng Niu

Proceedings of the Data Science - 6th International Conference, 2019

Optimization Strategies in Quantized Neural Networks: A Review.

Yuhan Lin, Minglong Lei, Lingfeng Niu

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A Brief Survey of Relation Extraction Based on Distant Supervision.

Yong Shi, Yang Xiao, Lingfeng Niu

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Feature Selection With ℓ_{2, 1-2} Regularization.

Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu

IEEE Trans. Neural Networks Learn. Syst., 2018

Adaboost-LLP: A Boosting Method for Learning With Label Proportions.

Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

Pedestrian detection based on the privileged information.

Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu

Neural Comput. Appl., 2018

A fast algorithm for nonsmooth penalized clustering.

Ruizhi Zhou, Xin Shen, Lingfeng Niu

Neurocomputing, 2018

A Novel Large-scale Ordinal Regression Model.

Yong Shi, Huadong Wang, Xin Shen, Lingfeng Niu

CoRR, 2018

Diffusion Based Network Embedding.

Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu

CoRR, 2018

A Survey of Sparse-Learning Methods for Deep Neural Networks.

Rongrong Ma, Lingfeng Niu

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

The Applications of Stochastic Models in Network Embedding: A Survey.

Minglong Lei, Yong Shi, Lingfeng Niu

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal.

Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang

Proceedings of the 6th International Conference on Information Technology and Quantitative Management, 2018

Compact Deep Neural Networks with ℓ1, 1 and ℓ1, 2 Regularization.

Rongrong Ma, Lingfeng Niu

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Kernel Extreme Learning Machine for Learning from Label Proportions.

Hao Yuan, Bo Wang, Lingfeng Niu

Proceedings of the Computational Science - ICCS 2018, 2018

Deep Streaming Graph Representations.

Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Nonparallel Support Vector Ordinal Regression.

Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian

IEEE Trans. Cybern., 2017

Learning With Label Proportions via NPSVM.

Zhiquan Qi, Bo Wang, Fan Meng, Lingfeng Niu

IEEE Trans. Cybern., 2017

Nonsmooth Penalized Clustering via ℓ_p Regularized Sparse Regression.

Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang

IEEE Trans. Cybern., 2017

Support vector machine classifier with truncated pinball loss.

Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian

Pattern Recognit., 2017

Augmented SVM with ordinal partitioning for text classification.

Yong Shi, Peijia Li, Lingfeng Niu

Proceedings of the International Conference on Web Intelligence, 2017

A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection.

Jianyu Miao, Yong Shi, Lingfeng Niu

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Large-scale Nonparallel Support Vector Ordinal Regression Solver.

Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi

Proceedings of the International Conference on Computational Science, 2017

2016

Robust Unsupervised Feature Learning from Time-Series.

Jianyu Miao, Yong Shi, Lingfeng Niu

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

2015

Semi-supervised classification with privileged information.

Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Bo Wang

Int. J. Mach. Learn. Cybern., 2015

Kernel based simple regularized multiple criteria linear program for binary classification and regression.

Xi Zhao, Yong Shi, Lingfeng Niu

Intell. Data Anal., 2015

Smoothing Trust Region for Digital Image Restoration.

Ruizhi Zhou, Lingfeng Niu, Zhiquan Qi

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Large-Scale Linear Support Vector Ordinal Regression Solver.

Yong Shi, Huadong Wang, Lingfeng Niu

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines.

Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Pedestrian Detection Using Privileged Information.

Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector Machines.

Lingfeng Niu, Xi Zhao, Yong Shi

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

2013

Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization.

Xiaojun Chen, Lingfeng Niu, Yaxiang Yuan

SIAM J. Optim., 2013

A Simple Decomposition Alternating Direction Method for Matrix Completion.

Lingfeng Niu, Xi Zhao

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

A Simple Regularized Multiple Criteria Linear Programs for Binary Classification.

Lingfeng Niu, Xi Zhao, Yong Shi

Proceedings of the International Conference on Computational Science, 2013

Kernel Based Simple Regularized Multiple Criteria Linear Programs for Binary Classification.

Xi Zhao, Lingfeng Niu, Yong Shi

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2013

2012

Entity Disambiguation with Textual and Connection Information.

Lingfeng Niu, Jianmin Wu, Yong Shi

Proceedings of the International Conference on Computational Science, 2012

Training the max-margin sequence model with the relaxed slack variables.

Lingfeng Niu, Jianmin Wu, Yong Shi

Neural Networks, 2012

Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information.

Lingfeng Niu, Jianmin Wu

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Learning Using Privileged Information with L-1 Support Vector Machine.

Lingfeng Niu, Yong Shi, Jianmin Wu

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

2011

Second-order Mining for Active Collaborative Filtering.

Lingfeng Niu, Jianmin Wu, Yong Shi

Proceedings of the International Conference on Computational Science, 2011

A parallel decomposition algorithm for training multiclass kernel-based vector machines.

Lingfeng Niu, Yaxiang Yuan

Optim. Methods Softw., 2011

Parallel algorithm for training multiclass proximal Support Vector Machines.

Lingfeng Niu

Appl. Math. Comput., 2011

Entity Resolution with Attribute and Connection Graph.

Lingfeng Niu, Jianmin Wu, Yong Shi

Proceedings of the Data Mining Workshops (ICDMW), 2011

MSSVM: A Modular Solver for Support Vector Machines.

Lingfeng Niu, Yong Shi

Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2011

2010

A new training method for sequence data.

Lingfeng Niu, Yong Shi

Proceedings of the International Conference on Computational Science, 2010

Semi-supervised PLSA for Document Clustering.

Lingfeng Niu, Yong Shi

Proceedings of the ICDMW 2010, 2010

Using Projection Gradient Method to Train Linear Support Vector Machines.

Lingfeng Niu, Yong Shi

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010