Jason Cong

Computer Vision and Pattern Recognition · 2004–2017

A researcher in the Science corpus: 6 papers; trusts 39 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #8,352 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 17 citations into it; #9,272 of 35,345 by trust here, #7,945 by citations
• Model Architectures — 6 citations into it

Whom Jason Cong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Yann LeCun
5. Kaustav Banerjee
6. Sven Behnke
7. Patrice Y. Simard
8. Frank Ghenassia
9. Yoshua Bengio
10. Karen Simonyan

Who trusts Jason Cong overall

1. Tal Ben-Nun
2. Andrew Lavin
3. Hyoukjun Kwon
4. Vivienne Sze
5. Yu-hsin Chen
6. Ahmad Shawahna
7. Torsten Hoefler
8. Scott Gray
9. Ritchie Zhao
10. Sparsh Mittal

Papers from Jason Cong's perspective

Ordered by how strongly the researchers Jason Cong trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks (2015) — 2,074 citations
• Minimizing Computation in Convolutional Neural Networks (2014) — 377 citations
• Automated systolic array architecture synthesis for high throughput CNN inference on FPGAs (2017) — 421 citations
• Caffeine: Towards uniformed representation and acceleration for deep convolutional neural networks (2016) — 357 citations
• High-Level Synthesis for FPGAs: From Prototyping to Deployment (2011) — 839 citations
• A thermal-driven floorplanning algorithm for 3D ICs (2004) — 439 citations