Maoguo Gong
Artificial Intelligence · 2008–2018
A researcher in the Science corpus: 9 papers; trusts 118 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it
- Computer Vision and Pattern Recognition — 69 citations into it; #15,867 of 21,575 by trust here, #11,286 by citations
- Computational Theory and Mathematics — 45 citations into it
- Media Technology — 34 citations into it; #939 of 3,621 by trust here, #839 by citations
- Statistical and Nonlinear Physics — 21 citations into it
- Aerospace Engineering — 11 citations into it; #5,766 of 6,421 by trust here, #3,388 by citations
- Ecology — 11 citations into it
- Model Architectures — 11 citations into it
Whom Maoguo Gong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Carlos Artemio Coello Coello
- Yoshua Bengio
- Eckart Zitzler
- Joshua D. Knowles
- Geoffrey E. Hinton
- David Wolfe Corne
- Mark Newman
- Lorenzo Bruzzone
- Yann LeCun
Who trusts Maoguo Gong overall
- Zhenwei Shi
- Jia Liu
- Huihui Dong
- Tao Lei
- Hongruixuan Chen
- Rodrigo Caye Daudt
- Ayesha Shafique
- Lazhar Khelifi
- Ting Bai
- M. N. Ab Wahab
Papers from Maoguo Gong's perspective
Ordered by how strongly the researchers Maoguo Gong 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables (2016) — 441 citations
- A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images (2018) — 452 citations
- Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching (2017) — 346 citations
- Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors (2017) — 348 citations
- Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks (2016) — 593 citations
- Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition (2014) — 374 citations
- Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation (2013) — 624 citations
- Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering (2012) — 549 citations
- Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection (2008) — 474 citations