Jianping Gou

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 4 papers; trusts 952 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 292 citations into it; #17,680 of 35,345 by trust here, #12,761 by citations
• Computer Vision and Pattern Recognition — 287 citations into it; #11,117 of 21,575 by trust here, #7,852 by citations
• Efficiency & Compression — 92 citations into it; #656 of 1,264 by trust here, #705 by citations
• Signal Processing — 31 citations into it
• Representation & Self-Supervised Learning — 30 citations into it
• Optimization & Training — 17 citations into it
• Natural Language Processing — 15 citations into it
• Model Architectures — 14 citations into it

Whom Jianping Gou trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Yann LeCun
8. Ross B. Girshick
9. Karen Simonyan
10. Christian Szegedy

Who trusts Jianping Gou overall

1. Elias Frantar
2. Julian Togelius
3. Mang Wang
4. Xiuyi Chen
5. Patrick M. Haluptzok
6. J. Ainslie
7. Michiel de Jong
8. Liyuan Wang
9. Yufei Xu
10. Tal Ridnik

Papers from Jianping Gou's perspective

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

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

Their papers

• Knowledge Distillation: A Survey (2020) — 4,395 citations
• Collaborative Teacher-Student Learning via Multiple Knowledge Transfer (2021) — 15 citations
• A generalized mean distance-based k-nearest neighbor classifier (2019) — 302 citations
• Maximum Neighborhood Margin Discriminant Projection for Classification (2014) — 446 citations