Lingxue Zhu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #14,730 of 35,345 by trust here, #23,077 by citations
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Lingxue Zhu trusts overall

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

1. Yarin Gal
2. Zoubin Ghahramani
3. Nitish Srivastava
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Rob J Hyndman
7. Alex Krizhevsky
8. Yann LeCun
9. Radford M. Neal
10. Ruslan Salakhutdinov

Who trusts Lingxue Zhu overall

1. Yijun Xiao
2. Vishwanath A. Sindagi
3. Andrew Cook
4. Nicolas Brosse
5. Xueyan Yin
6. Kunjin Chen
7. William Yang Wang
8. Konstantinos Benidis
9. Rajeev Yasarla
10. Goksel Misirli

Papers from Lingxue Zhu's perspective

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

Their papers

• Deep and Confident Prediction for Time Series at Uber (2017) — 373 citations