Yan Liu

According to our database, Yan Liu authored at least 28 papers between 2007 and 2021.

Collaborative distances:

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

2021

Towards using count-level weak supervision for crowd counting.

Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu

Pattern Recognit., 2021

2020

Semi-supervised Crowd Counting via Self-training on Surrogate Tasks.

Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Convergence.

Yan Liu, Dakun Yang, Long Li, Jie Yang

Neural Process. Lett., 2019

An adaptive neuro-complex-fuzzy-inferential modeling mechanism for generating higher-order TSK models.

Yan Liu, Fang Liu

Neurocomputing, 2019

Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System.

Yan Liu, Fang Liu, Long Li

IEEE Access, 2019

Deep mutual learning for visual tracking.

Kai Gao, Pingping Zhang, Yan Liu, Ziqin Zhou, Gang Yang, Huchuan Lu

Proceedings of the ACM Turing Celebration Conference - China, 2019

2018

A New Conjugate Gradient Method with Smoothing L_1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks.

Wenyu Li, Yan Liu, Jie Yang, Wei Wu

Neural Process. Lett., 2018

Smoothed <i>L</i>_1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results.

Yan Liu, Dakun Yang, Feng Li

J. Frankl. Inst., 2018

L_1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis.

Dakun Yang, Yan Liu

Neurocomputing, 2018

Relaxed conditions for convergence analysis of online back-propagation algorithm with L₂ regularizer for Sigma-Pi-Sigma neural network.

Yan Liu, Dakun Yang, Chao Zhang

Neurocomputing, 2018

Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models.

Yan Liu, Long Li, Dakun Yang

Neurocomputing, 2018

A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials.

Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu

CoRR, 2018

Robustness of classification ability of spiking neural networks.

Jie Yang, Pingping Zhang, Yan Liu

CoRR, 2018

2017

A convergent smoothing algorithm for training max -min fuzzy neural networks.

Long Li, Zhijun Qiao, Yan Liu, Yuan Chen

Neurocomputing, 2017

Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L_1/2 regularization for the first-order Takagi-Sugeno system.

Yan Liu, Dakun Yang

Fuzzy Sets Syst., 2017

Input Layer Regularization of Multilayer Feedforward Neural Networks.

Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu

IEEE Access, 2017

2016

Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models.

Yan Liu, Dakun Yang, Nan Nan, Li Guo, Jianjun Zhang

Neural Process. Lett., 2016

A Dynamic Energy Balance Method for Wireless Sensor Networks with Small World Characteristics.

Peng Geng, Yan Liu, Jie Yang

Proceedings of the Fifth International Conference on Network, Communication and Computing, 2016

2015

A Modified Learning Algorithm for Interval Perceptrons with Interval Weights.

Dakun Yang, Zhengxue Li, Yan Liu, Huisheng Zhang, Wei Wu

Neural Process. Lett., 2015

Convergence of batch gradient learning algorithm with smoothing L_1/2 regularization for Sigma-Pi-Sigma neural networks.

Yan Liu, Zhengxue Li, Dakun Yang, Kh. Sh. Mohamed, Jing Wang, Wei Wu

Neurocomputing, 2015

2014

Batch gradient method with smoothing L_1/2 regularization for training of feedforward neural networks.

Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu

Neural Networks, 2014

A modified gradient learning algorithm with smoothing L_1/2 regularization for Takagi-Sugeno fuzzy models.

Yan Liu, Wei Wu, Qin-wei Fan, Dakun Yang, Jian Wang

Neurocomputing, 2014

2013

The Binary Output Units of Neural Network.

Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang, Wei Wu, Jiuwu Jin

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

2012

Negative effects of sufficiently small initialweights on back-propagation neural networks.

Yan Liu, Jie Yang, Long Li, Wei Wu

J. Zhejiang Univ. Sci. C, 2012

Data-Driven 4D Visualization for Simulating Highway Construction Processes.

Guojun Chen, Yan Liu, Jingxiang Chen, Wei Wu

Proceedings of the 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2012

2010

A modified gradient-based neuro-fuzzy learning algorithm and its convergence.

Wei Wu, Long Li, Jie Yang, Yan Liu

Inf. Sci., 2010

Choice of initial bias in max-min fuzzy neural networks.

Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu

Proceedings of the International Joint Conference on Neural Networks, 2010

2007

Dispensability of Bias for Three-layer Max-min Fuzzy Neural Networks.

Jie Yang, Long Li, Yan Liu

Proceedings of the Third International Conference on Natural Computation, 2007