Deguang Kong
Computer Vision and Pattern Recognition · 2011–2017
A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it; #11,386 of 21,575 by trust here, #17,757 by citations
- Artificial Intelligence — 22 citations into it; #18,078 of 35,345 by trust here, #28,481 by citations
- Signal Processing — 14 citations into it; #3,696 of 7,572 by trust here, #4,051 by citations
- Safety, Robustness & Interpretability — 12 citations into it
- Computer Networks and Communications — 8 citations into it
- Information Systems — 5 citations into it
- Software — 5 citations into it
Whom Deguang Kong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Yann LeCun
- Chris H. Q. Ding
- Alex Krizhevsky
- Geoffrey E. Hinton
- Nicolas Papernot
- Yoshua Bengio
- Daniel D. Lee
- L. Eon Bottou
- Athinodoros S. Georghiades
Who trusts Deguang Kong overall
- Menglei Hu
- Saúl Solorio-Fernández
- Yifeng Li
- Ramakrishnan Kannan
- Zechao Li
- Songcan Chen
- J. A. Carrasco-Ochoa
- Chih-Yu Chen
- Hyenkyun Woo
- Yi Yang
Papers from Deguang Kong's perspective
Ordered by how strongly the researchers Deguang Kong 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)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- Robust nonnegative matrix factorization using L21-norm (2011) — 371 citations
- Malware Detection in Adversarial Settings: Exploiting Feature Evolutions and Confusions in Android Apps (2017) — 132 citations
- Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features (2016) — 78 citations