Jie Chen

Computer Vision and Pattern Recognition · with Saad · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #13,464 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 15 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Statistical Learning Theory — 11 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Computational Mechanics — 6 citations into it
• Signal Processing — 5 citations into it; #4,440 of 7,572 by trust here, #4,560 by citations

Whom Jie Chen trusts overall

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

1. Daniel Boley
2. Xiaofei He
3. Vladimir Naumovich Vapnik
4. Radford M. Neal
5. Partha Niyogi
6. Sam T. Roweis
7. Yoshua Bengio
8. Bernhard Schölkopf
9. Lawrence K. Saul
10. Mikhail Belkin

Who trusts Jie Chen overall

1. Ali A. Dashti
2. Wei Dong
3. Mengzhao Wang
4. Wei Jin
5. Ivan Komarov
6. Moses Charikar
7. Xiaoliang Xu
8. Andrzej S. Cichocki
9. Tyler Derr
10. Yasuhiro Fujiwara

Papers from Jie Chen's perspective

Ordered by how strongly the researchers Jie Chen 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection (2009) — 296 citations
• Trace optimization and eigenproblems in dimension reduction methods (2011) — 214 citations