Lingfeng Niu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 62

Top Topics

Ordinal Regression

Graph Representation

Privileged Information

Top Venues

Pattern Recognit.

Publications

Chengxi Song, Lingfeng Niu, Minglong Lei
Two-level adversarial attacks for graph neural networks. Inf. Sci. 654 (2024)
Yong Shi, Anda Tang, Lingfeng Niu, Ruizhi Zhou
Sparse optimization guided pruning for neural networks. Neurocomputing 574 (2024)
Yong Shi, Lei Zheng, Pei Quan, Lingfeng Niu
Wasserstein distance regularized graph neural networks. Inf. Sci. 670 (2024)
Yuhan Lin, Lingfeng Niu, Yang Xiao, Ruizhi Zhou
Diluted binary neural network. Pattern Recognit. 140 (2023)
Ruibin Zeng, Minglong Lei, Lingfeng Niu, Lan Cheng
A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs. CoRR (2023)
Yong Shi, Yuanying Zhang, Peng Zhang, Yang Xiao, Lingfeng Niu
Federated learning with ℓ1 regularization. Pattern Recognit. Lett. 172 (2023)
Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu
Graph Influence Network. IEEE Trans. Cybern. 53 (10) (2023)
Anda Tang, Lingfeng Niu, Jianyu Miao, Peng Zhang
Training Compact DNNs with ℓ1/2 Regularization. Pattern Recognit. 136 (2023)
Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation. IEEE Trans. Cybern. 52 (2) (2022)
Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lijun Sun, Lingfeng Niu, Yong Shi
Towards Compact Broad Learning System by Combined Sparse Regularization. Int. J. Inf. Technol. Decis. Mak. 21 (1) (2022)
Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
Latent neighborhood-based heterogeneous graph representation. Neural Networks 154 (2022)
Yong Shi, Yuanying Zhang, Yang Xiao, Lingfeng Niu
Optimization Strategies for Client Drift in Federated Learning: A review. ITQM (2022)
Lei Zheng, Pei Quan, Minglong Lei, Yang Xiao, Lingfeng Niu
Optimal Transport Guided Node Classification in Cross Networks. ITQM (2022)
Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi
Graph regularized locally linear embedding for unsupervised feature selection. Pattern Recognit. 122 (2022)
Anda Tang, Tongsheng Yao, Lingfeng Niu, Yong Shi
Sparse Learning for Neural Networks with A Generalized Sparse Regularization. ITQM (2022)
Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo
Knowledge Graph Embedding by Double Limit Scoring Loss. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Ruiyang Shi, Lingfeng Niu, Ruizhi Zhou
Sparse CapsNet with explicit regularizer. Pattern Recognit. 124 (2022)
Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei
Multi-task Self-distillation for Graph-based Semi-Supervised Learning. CoRR (2021)
Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu
Unsupervised feature selection by non-convex regularized self-representation. Expert Syst. Appl. 173 (2021)
Minglong Lei, Yong Shi, Lingfeng Niu
Latent Network Embedding via Adversarial Auto-encoders. CoRR (2021)
Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin
Anomaly detection in dynamic attributed networks. Neural Comput. Appl. 33 (6) (2021)
Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision. Neural Networks 134 (2021)
Lei Zheng, Yang Xiao, Lingfeng Niu
A brief survey on Computational Gromov-Wasserstein distance. ITQM (2021)
Anda Tang, Pei Quan, Lingfeng Niu, Yong Shi
A survey of sparse regularization based compression methods. ITQM (2021)
Ruizhi Zhou, Lingfeng Niu, Hong Yang
Unsupervised feature selection for attributed graphs. Expert Syst. Appl. 168 (2021)
Yong Shi, Yang Xiao, Pei Quan, Minglong Lei, Lingfeng Niu
Document-level relation extraction via graph transformer networks and temporal convolutional networks. Pattern Recognit. Lett. 149 (2021)
Ruizhi Zhou, Lingfeng Niu
Regularization. Cogn. Comput. 12 (6) (2020)
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
Discrete Embedding for Latent Networks. IJCAI (2020)
Shichao Guo, Yang Xiao, Lingfeng Niu
GGTAN: Graph Gated Talking-Heads Attention Networks for Traveling Salesman Problem. WI/IAT (2020)
Ruiyang Shi, Lingfeng Niu
A brief survey on Capsule Network. WI/IAT (2020)
Yuhan Lin, Minglong Lei, Lingfeng Niu
Optimization Strategies in Quantized Neural Networks: A Review. ICDM Workshops (2019)
Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lingfeng Niu
Graph-Based Clustering via Group Sparsity and Manifold Regularization. IEEE Access 7 (2019)
Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu
Diffusion network embedding. Pattern Recognit. 88 (2019)
Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu
Joint Sparse Regularization for Dictionary Learning. Cogn. Comput. 11 (5) (2019)
Anda Tang, Rongrong Ma, Jianyu Miao, Lingfeng Niu
Regularization for Deep Neural Networks. ICDS (2019)
Pei Quan, Yong Shi, Minglong Lei, Jiaxu Leng, Tianlin Zhang, Lingfeng Niu
A Brief Review of Receptive Fields in Graph Convolutional Networks. WI (Companion) (2019)
Yong Shi, Jianyu Miao, Lingfeng Niu
Feature selection with MCP $$^2$$ 2 regularization. Neural Comput. Appl. 31 (10) (2019)
Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
Regularization for Learning Sparse Deep Neural Networks. CoRR (2019)
Yong Shi, Yang Xiao, Lingfeng Niu
A Brief Survey of Relation Extraction Based on Distant Supervision. ICCS (3) (2019)
Yong Shi, Peijia Li, Hao Yuan, Jianyu Miao, Lingfeng Niu
Fast kernel extreme learning machine for ordinal regression. Knowl. Based Syst. 177 (2019)
Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
Transformed ℓ1 regularization for learning sparse deep neural networks. Neural Networks 119 (2019)
Yong Shi, Minglong Lei, Rongrong Ma, Lingfeng Niu
Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity. IEEE Access 7 (2019)
Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu
Deep Streaming Graph Representations. ICCS (3) (2018)
Pei Quan, Yong Shi, Lingfeng Niu, Ying Liu, Tianlin Zhang
Automatic Chinese Multiple-Choice Question Generation for Human Resource Performance Appraisal. ITQM (2018)
Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu
Regularization. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Minglong Lei, Yong Shi, Lingfeng Niu
The Applications of Stochastic Models in Network Embedding: A Survey. WI (2018)
Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu
Pedestrian detection based on the privileged information. Neural Comput. Appl. 29 (12) (2018)
Ruizhi Zhou, Xin Shen, Lingfeng Niu
A fast algorithm for nonsmooth penalized clustering. Neurocomputing 273 (2018)
Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu
Diffusion Based Network Embedding. CoRR (2018)
Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Hao Yuan, Bo Wang, Lingfeng Niu
Kernel Extreme Learning Machine for Learning from Label Proportions. ICCS (2) (2018)
Rongrong Ma, Lingfeng Niu
Compact Deep Neural Networks with ℓ1, 1 and ℓ1, 2 Regularization. ICDM Workshops (2018)
Rongrong Ma, Lingfeng Niu
A Survey of Sparse-Learning Methods for Deep Neural Networks. WI (2018)
Yong Shi, Huadong Wang, Xin Shen, Lingfeng Niu
A Novel Large-scale Ordinal Regression Model. CoRR (2018)
Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang
Regularized Sparse Regression. IEEE Trans. Cybern. 47 (6) (2017)
Huadong Wang, Yong Shi, Lingfeng Niu, Yingjie Tian
Nonparallel Support Vector Ordinal Regression. IEEE Trans. Cybern. 47 (10) (2017)
Jianyu Miao, Yong Shi, Lingfeng Niu
A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection. ICDM Workshops (2017)
Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi
Large-scale Nonparallel Support Vector Ordinal Regression Solver. ICCS (2017)
Yong Shi, Peijia Li, Lingfeng Niu
Augmented SVM with ordinal partitioning for text classification. WI (2017)
Zhiquan Qi, Bo Wang, Fan Meng, Lingfeng Niu
Learning With Label Proportions via NPSVM. IEEE Trans. Cybern. 47 (10) (2017)
Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian
Support vector machine classifier with truncated pinball loss. Pattern Recognit. 68 (2017)
Jianyu Miao, Yong Shi, Lingfeng Niu
Robust Unsupervised Feature Learning from Time-Series. WI Workshops (2016)
Yong Shi, Huadong Wang, Lingfeng Niu
Large-Scale Linear Support Vector Ordinal Regression Solver. ICDM Workshops (2015)
Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Bo Wang
Semi-supervised classification with privileged information. Int. J. Mach. Learn. Cybern. 6 (4) (2015)
Xi Zhao, Yong Shi, Lingfeng Niu
Kernel based simple regularized multiple criteria linear program for binary classification and regression. Intell. Data Anal. 19 (3) (2015)
Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi
Pedestrian Detection Using Privileged Information. ICDM Workshops (2015)
Ruizhi Zhou, Lingfeng Niu, Zhiquan Qi
Smoothing Trust Region for Digital Image Restoration. WI-IAT (3) (2015)
Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi
Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. ICDM Workshops (2015)
Lingfeng Niu, Xi Zhao, Yong Shi
A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector Machines. WI-IAT (1) (2014)
Xiaojun Chen, Lingfeng Niu, Yaxiang Yuan
Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization. SIAM J. Optim. 23 (3) (2013)
Xi Zhao, Lingfeng Niu, Yong Shi
Kernel Based Simple Regularized Multiple Criteria Linear Programs for Binary Classification. Web Intelligence/IAT Workshops (2013)
Lingfeng Niu, Xi Zhao, Yong Shi
A Simple Regularized Multiple Criteria Linear Programs for Binary Classification. ICCS (2013)
Lingfeng Niu, Xi Zhao
A Simple Decomposition Alternating Direction Method for Matrix Completion. ITQM (2013)
Lingfeng Niu, Jianmin Wu
Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information. ICDM Workshops (2012)
Lingfeng Niu, Yong Shi, Jianmin Wu
Learning Using Privileged Information with L-1 Support Vector Machine. Web Intelligence/IAT Workshops (2012)
Lingfeng Niu, Jianmin Wu, Yong Shi
Entity Disambiguation with Textual and Connection Information. ICCS (2012)
Lingfeng Niu, Jianmin Wu, Yong Shi
Training the max-margin sequence model with the relaxed slack variables. Neural Networks 33 (2012)
Lingfeng Niu, Yaxiang Yuan
A parallel decomposition algorithm for training multiclass kernel-based vector machines. Optim. Methods Softw. 26 (3) (2011)
Lingfeng Niu, Jianmin Wu, Yong Shi
Entity Resolution with Attribute and Connection Graph. ICDM Workshops (2011)
Lingfeng Niu
Parallel algorithm for training multiclass proximal Support Vector Machines. Appl. Math. Comput. 217 (12) (2011)
Lingfeng Niu, Jianmin Wu, Yong Shi
Second-order Mining for Active Collaborative Filtering. ICCS (2011)
Lingfeng Niu, Yong Shi
MSSVM: A Modular Solver for Support Vector Machines. Web Intelligence/IAT Workshops (2011)
Lingfeng Niu, Yong Shi
Semi-supervised PLSA for Document Clustering. ICDM Workshops (2010)
Lingfeng Niu, Yong Shi
A new training method for sequence data. ICCS (1) (2010)
Lingfeng Niu, Yong Shi
Using Projection Gradient Method to Train Linear Support Vector Machines. Web Intelligence/IAT Workshops (2010)