Tao Zhang

Artificial Intelligence · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computational Theory and Mathematics — 9 citations into it

Whom Tao Zhang trusts overall

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

1. Diederik P. Kingma
2. Kaisa Miettinen
3. Yoshua Bengio
4. Gerhard Reinelt
5. Andrzej Jaszkiewicz
6. Oriol Vinyals
7. Xavier Glorot
8. Geoffrey E. Hinton
9. Qingfu Zhang
10. Jimmy Ba

Papers from Tao Zhang's perspective

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

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

Their papers

• Deep Reinforcement Learning for Multiobjective Optimization (2019) — 391 citations