Yurong Liu
Computer Networks and Communications · IEEE Transactions on Neural Networks · 2005–2018
A researcher in the Science corpus: 14 papers; trusts 98 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 68 citations into it; #1,286 of 9,886 by trust here, #816 by citations
- Artificial Intelligence — 60 citations into it; #19,262 of 35,345 by trust here, #7,310 by citations
- Computer Vision and Pattern Recognition — 54 citations into it; #20,272 of 21,575 by trust here, #6,326 by citations
- Control and Systems Engineering — 44 citations into it
- Statistical and Nonlinear Physics — 35 citations into it
- Signal Processing — 24 citations into it
- Model Architectures — 18 citations into it; #2,109 of 2,278 by trust here, #874 by citations
- Representation & Self-Supervised Learning — 15 citations into it
Whom Yurong Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zidong Wang
- Guanrong Chen
- Huijun Gao
- Wenlian Lu
- Geoffrey E. Hinton
- Yoshua Bengio
- Michael Casey
- Chunguang Li
- Jeffrey L. Elman
- Alex Krizhevsky
Who trusts Yurong Liu overall
- Zidong Wang
- Zhengguang Wu
- Jinling Liang
- Peng Shi
- Xiaohui Liu
- Huaguang Zhang
- Jinde Cao
- H. Su
- Huijun Gao
- Guanrong Chen
Papers from Yurong Liu's perspective
Ordered by how strongly the researchers Yurong Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- On global asymptotic stability of neural networks with discrete and distributed delays (2005) — 426 citations
- Global exponential stability of generalized recurrent neural networks with discrete and distributed delays (2006) — 694 citations
- Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays (2006) — 447 citations
- Exponential stability of delayed recurrent neural networks with Markovian jumping parameters (2006) — 370 citations
- Exponential synchronization of complex networks with Markovian jump and mixed delays (2008) — 172 citations
- Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays (2009) — 341 citations
- Synchronization of directed switched complex networks with stochastic link perturbations and mixed time-delays (2018) — 47 citations
- A survey of deep neural network architectures and their applications (2017) — 3,019 citations
- Robust Control for a Class of Discrete Time-Delay Stochastic Systems with Randomly Occurring Nonlinearities (2014) — 56 citations
- Global Synchronization for Discrete-Time Stochastic Complex Networks With Randomly Occurred Nonlinearities and Mixed Time Delays (2010) — 497 citations
- Robust H∞ control for a class of nonlinear discrete time-delay stochastic systems with missing measurements (2009) — 411 citations
- Robust H∞ filtering for discrete nonlinear stochastic systems with time-varying delay (2008) — 50 citations
- Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays (2008) — 513 citations
- Global Synchronization Control of General Delayed Discrete-Time Networks With Stochastic Coupling and Disturbances (2008) — 184 citations