Yan Liu

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 16

Top Topics

Takagi Sugeno Kang

Sufficiently Small

Top Venues

Neural Process. Lett.

Publications

Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu
Towards using count-level weak supervision for crowd counting. Pattern Recognit. 109 (2021)
Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei
Semi-supervised Crowd Counting via Self-training on Surrogate Tasks. ECCV (15) (2020)
Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu
Towards Using Count-level Weak Supervision for Crowd Counting. CoRR (2020)
Kai Gao, Pingping Zhang, Yan Liu, Ziqin Zhou, Gang Yang, Huchuan Lu
Deep mutual learning for visual tracking. ACM TUR-C (2019)
Yan Liu, Fang Liu, Long Li
Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System. IEEE Access 7 (2019)
Yan Liu, Long Li, Dakun Yang
Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models. Neurocomputing 311 (2018)
Yan Liu, Dakun Yang, Chao Zhang
regularizer for Sigma-Pi-Sigma neural network. Neurocomputing 272 (2018)
Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu
A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials. CoRR (2018)
Wenyu Li, Yan Liu, Jie Yang, Wei Wu
Regularization Based on a Modified Secant Equation for Training Neural Networks. Neural Process. Lett. 48 (2) (2018)
Yan Liu, Dakun Yang, Feng Li
regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results. J. Frankl. Inst. 355 (13) (2018)
Dakun Yang, Yan Liu
regularization learning for smoothing interval neural networks: Algorithms and convergence analysis. Neurocomputing 272 (2018)
Jie Yang, Pingping Zhang, Yan Liu
Robustness of classification ability of spiking neural networks. CoRR (2018)
Long Li, Zhijun Qiao, Yan Liu, Yuan Chen
A convergent smoothing algorithm for training max -min fuzzy neural networks. Neurocomputing 260 (2017)
Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu
Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access 5 (2017)
Yan Liu, Dakun Yang
regularization for the first-order Takagi-Sugeno system. Fuzzy Sets Syst. 319 (2017)
Yan Liu, Dakun Yang, Nan Nan, Li Guo, Jianjun Zhang
Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models. Neural Process. Lett. 43 (3) (2016)
Yan Liu, Zhengxue Li, Dakun Yang, Kh. Sh. Mohamed, Jing Wang, Wei Wu
regularization for Sigma-Pi-Sigma neural networks. Neurocomputing 151 (2015)
Dakun Yang, Zhengxue Li, Yan Liu, Huisheng Zhang, Wei Wu
A Modified Learning Algorithm for Interval Perceptrons with Interval Weights. Neural Process. Lett. 42 (2) (2015)
Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu
regularization for training of feedforward neural networks. Neural Networks 50 (2014)
Yan Liu, Wei Wu, Qin-wei Fan, Dakun Yang, Jian Wang
regularization for Takagi-Sugeno fuzzy models. Neurocomputing 138 (2014)
Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang, Wei Wu, Jiuwu Jin
The Binary Output Units of Neural Network. ISNN (1) (2013)
Yan Liu, Jie Yang, Long Li, Wei Wu
Negative effects of sufficiently small initialweights on back-propagation neural networks. J. Zhejiang Univ. Sci. C 13 (8) (2012)
Guojun Chen, Yan Liu, Jingxiang Chen, Wei Wu
Data-Driven 4D Visualization for Simulating Highway Construction Processes. PADS (2012)
Wei Wu, Long Li, Jie Yang, Yan Liu
A modified gradient-based neuro-fuzzy learning algorithm and its convergence. Inf. Sci. 180 (9) (2010)
Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu
Choice of initial bias in max-min fuzzy neural networks. IJCNN (2010)
Jie Yang, Long Li, Yan Liu
Dispensability of Bias for Three-layer Max-min Fuzzy Neural Networks. ICNC (1) (2007)