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Yan Liu 0015
Person information
- affiliation: Dalian Polytechnic University, School of Information Science and Engineering, China
- affiliation (PhD 2012): Dalian University of Technology, School of Mathematical Sciences, China
Other persons with the same name
- Yan Liu — disambiguation page
- Yan Liu 0001
— Concordia University, Montreal, PQ, Canada (and 3 more)
- Yan Liu 0002
- Yan Liu 0003 — Motorala Labs
- Yan Liu 0004 (aka: Fiona Yan Liu) — Hong Kong Polytechnic University, Department of Computing, Cognitive Computing Lab, Hong Kong (and 1 more)
- Yan Liu 0005 — University of Ottawa, Canada
- Yan Liu 0006 — Information Engineering University, Information Engineering Institute, Zhengzhou, China
- Yan Liu 0007 — Beijing Normal University, China
- Yan Liu 0008 — Wright State University, Department of Biomedical, Industrial, and Human Factors Engineering, Dayton, OH, USA
- Yan Liu 0009
- Yan Liu 0010 — Huazhong University, School of Computer Science and Technology, Key Laboratory of Data Storage System, China
- Yan Liu 0011 — Tongji University, Shanghai, China
- Yan Liu 0012
- Yan Liu 0013
- Yan Liu 0014 — Harbin Institute of Technology, Department of Mathematics, China
- Yan Liu 0016
- Yan Liu 0017 — Xerox Research Centre Euorpe (and 1 more)
- Yan Liu 0018 — Hangzhou Dianzi University, School of Electronics and Information, China (and 1 more)
- Yan Liu 0019 — Guandong University of Finance
- Yan Liu 0020 — Beijing Institute of Technology, State Key Laboratory of Explosion Science and Technology, Beijing, China
- Yan Liu 0021 — Peking University, School of Software and Microelectronics, Beijing, China
- Yan Liu 0022 — Stony Brook University, Department of Radiology, NY, USA
- Yan Liu 0024 — Siemens (and 2 more)
- Yan Liu 0025 — Texas A & M University
- Yan Liu 0026
- Yan Liu 0027
- Yan Liu 0028
- Yan Liu 0029
- Yan Liu 0030
- Yan Liu 0031
- Yan Liu 0032
- Yan Liu 0033
- Yan Liu 0034
- Yan Liu 0035
- Yan Liu 0036 — University of Warwick, Coventry, UK
- Yan Liu 0037 — Arizona State University, Tempe, AZ, USA
- Yan Liu 0038
- Yan Liu 0039
- Yan Liu 0040
- Yan Liu 0041
- Yan Liu 0042
- Yan Liu 0043
- Yan Liu 0044
- Yan Liu 0045
- Yan Liu 0046 — Anhui University, School of Mathematical Sciences, Hefei, China
- Yan Liu 0047
- Yan Liu 0048 — Jiangsu Academy of Agricultural Sciences, Nanjing, China
- Yan Liu 0049 — Xidian University, School of Electro-Mechanical Engineering, Key Laboratory of Electronic Equipment Structure Design, Xi'an, China (and 1 more)
- Yan Liu 0050 — Shanghai Jiaotong University, Department of Mathematics, Shanghai, China
- Yan Liu 0051
- Yan Liu 0052
- Yan Liu 0053
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2020 – today
- 2021
- [j19]Yinjie Lei
Towards using count-level weak supervision for crowd counting. Pattern Recognit. 109: 107616 (2021) - 2020
- [c7]Yan Liu, Lingqiao Liu, Peng Wang
Semi-supervised Crowd Counting via Self-training on Surrogate Tasks. ECCV (15) 2020: 242-259 - [i3]Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu:
Towards Using Count-level Weak Supervision for Crowd Counting. CoRR abs/2003.00164 (2020)
2010 – 2019
- 2019
- [j18]Yan Liu, Fang Liu, Long Li
Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System. IEEE Access 7: 39362-39368 (2019) - [j17]Yan Liu, Fang Liu:
An adaptive neuro-complex-fuzzy-inferential modeling mechanism for generating higher-order TSK models. Neurocomputing 365: 94-101 (2019) - [j16]Yan Liu, Dakun Yang, Long Li, Jie Yang:
A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Convergence. Neural Process. Lett. 50(2): 1589-1609 (2019) - [c6]Kai Gao, Pingping Zhang, Yan Liu, Ziqin Zhou, Gang Yang, Huchuan Lu:
Deep mutual learning for visual tracking. ACM TUR-C 2019: 105:1-105:5 - 2018
- [j15]Dakun Yang, Yan Liu:
L1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis. Neurocomputing 272: 122-129 (2018) - [j14]Yan Liu, Dakun Yang, Chao Zhang
Relaxed conditions for convergence analysis of online back-propagation algorithm with L2 regularizer for Sigma-Pi-Sigma neural network. Neurocomputing 272: 163-169 (2018) - [j13]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: 270-278 (2018) - [j12]Yan Liu, Dakun Yang, Feng Li:
Smoothed L1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results. J. Frankl. Inst. 355(13): 6132-6151 (2018) - [j11]Wenyu Li, Yan Liu, Jie Yang, Wei Wu:
A New Conjugate Gradient Method with Smoothing L1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks. Neural Process. Lett. 48(2): 955-978 (2018) - [i2]Jie Yang, Pingping Zhang, Yan Liu:
Robustness of classification ability of spiking neural networks. CoRR abs/1801.09827 (2018) - [i1]Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu:
A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials. CoRR abs/1802.00123 (2018) - 2017
- [j10]Feng Li
Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access 5: 10979-10985 (2017) - [j9]Yan Liu, Dakun Yang:
Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L1/2 regularization for the first-order Takagi-Sugeno system. Fuzzy Sets Syst. 319: 28-49 (2017) - [j8]Long Li, Zhijun Qiao, Yan Liu, Yuan Chen:
A convergent smoothing algorithm for training max -min fuzzy neural networks. Neurocomputing 260: 404-410 (2017) - 2016
- [j7]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): 745-758 (2016) - [c5]Peng Geng
A Dynamic Energy Balance Method for Wireless Sensor Networks with Small World Characteristics. ICNCC 2016: 287-291 - 2015
- [j6]Yan Liu, Zhengxue Li, Dakun Yang, Kh. Sh. Mohamed
Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks. Neurocomputing 151: 333-341 (2015) - [j5]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): 381-396 (2015) - 2014
- [j4]Yan Liu, Wei Wu, Qin-wei Fan
A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models. Neurocomputing 138: 229-237 (2014) - [j3]Wei Wu, Qin-wei Fan
Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. Neural Networks 50: 72-78 (2014) - 2013
- [c4]Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang, Wei Wu, Jiuwu Jin:
The Binary Output Units of Neural Network. ISNN (1) 2013: 250-257 - 2012
- [j2]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): 585-592 (2012) - [c3]Guojun Chen, Yan Liu, Jingxiang Chen, Wei Wu:
Data-Driven 4D Visualization for Simulating Highway Construction Processes. PADS 2012: 196-198 - 2010
- [j1]Wei Wu, Long Li, Jie Yang, Yan Liu:
A modified gradient-based neuro-fuzzy learning algorithm and its convergence. Inf. Sci. 180(9): 1630-1642 (2010) - [c2]Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu:
Choice of initial bias in max-min fuzzy neural networks. IJCNN 2010: 1-3
2000 – 2009
- 2007
- [c1]Jie Yang, Long Li, Yan Liu:
Dispensability of Bias for Three-layer Max-min Fuzzy Neural Networks. ICNC (1) 2007: 135-139
Coauthor Index
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