Y. Zhu

Computer Vision and Pattern Recognition · with Chen · 2003–2017

A researcher in the Science corpus: 10 papers; trusts 326 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it; #4,637 of 21,575 by trust here, #7,657 by citations
• Artificial Intelligence — 42 citations into it; #15,381 of 35,345 by trust here, #15,236 by citations
• Biomedical Engineering — 36 citations into it; #757 of 10,734 by trust here, #4,472 by citations
• Human-Computer Interaction — 31 citations into it; #159 of 2,253 by trust here, #369 by citations
• 3D Vision & Pose — 20 citations into it
• Control and Systems Engineering — 14 citations into it
• Statistics and Probability — 14 citations into it
• Information Systems — 11 citations into it

Whom Y. Zhu trusts overall

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

1. Xiaodong Yang
2. Lu Xia
3. Christopher Evans
4. Zicheng Liu
5. Trevor J. Hastie
6. Ivan Laptev
7. Omar Oreifej
8. Alex Graves
9. Geoffrey E. Hinton
10. Wanqing Li

Who trusts Y. Zhu overall

1. Mengyuan Liu
2. Jun Liu
3. Jianfang Hu
4. Hong Liu
5. Guillermo Garcia-Hernando
6. Jianming Jin
7. Guo-qing Guo
8. Wenbin Chen
9. Liliana Lo Presti
10. Amir Shahroudy

Papers from Y. Zhu's perspective

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

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

Their papers

• Evaluating spatiotemporal interest point features for depth-based action recognition (2014) — 121 citations
• Fusing Spatiotemporal Features and Joints for 3D Action Recognition (2013) — 238 citations
• A Lasso-Type Approach for Estimation and Variable Selection in Single Index Models (2012) — 51 citations
• Multigrid Finite Element Methods for Electromagnetic Field Modeling (2006) — 207 citations
• What to Do Next: Modeling User Behaviors by Time-LSTM (2017) — 499 citations
• Fusing Multiple Features for Depth-Based Action Recognition (2015) — 45 citations
• Optimal operation of cryogenic air separation systems with demand uncertainty and contractual obligations (2011) — 47 citations
• Mesoporous CeO2 and CuO-loaded mesoporous CeO2: Synthesis, characterization, and CO catalytic oxidation property (2005) — 173 citations
• Diameter and helicity effects on static properties of water molecules confined in carbon nanotubes (2004) — 158 citations
• OPTIMAL SELECTION OF SINGLE ARRAYS FOR PARAMETER DESIGN EXPERIMENTS (2003) — 52 citations