Zizhuo Wang

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Time-Series & Forecasting — 11 citations into it
• Management Science and Operations Research — 10 citations into it
• Model Architectures — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Natural Language Processing — 6 citations into it
• Optimization & Training — 6 citations into it
• Statistics and Probability — 5 citations into it

Whom Zizhuo Wang trusts overall

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

1. Rob J Hyndman
2. Kaiming He
3. Alex Graves
4. Spyros Makridakis
5. Ilya Sutskever
6. Tomas Mikolov
7. Geoffrey E. Hinton
8. Sergey Ioffe
9. Tianqi Chen
10. Yoshua Bengio

Papers from Zizhuo Wang's perspective

Ordered by how strongly the researchers Zizhuo Wang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. ImageNet: A large-scale hierarchical image database

Their papers

• Probabilistic Forecasting with Temporal Convolutional Neural Network (2019) — 405 citations