Tianyun Zhang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it

Whom Tianyun Zhang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Ilya Sutskever
6. Kaiming He
7. Diederik P. Kingma
8. Karen Simonyan
9. Song Han
10. L. Eon Bottou

Who trusts Tianyun Zhang overall

1. Young Geun Kim
2. Linfeng Zhang
3. Huanrui Yang
4. Carole-Jean Wu
5. Hesham Mostafa
6. By Lei Deng
7. Yang He
8. Zifeng Wang
9. Wujie Wen
10. Chenglong Bao

Papers from Tianyun Zhang's perspective

Ordered by how strongly the researchers Tianyun Zhang 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. 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. ImageNet: A large-scale hierarchical image database
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. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning (2020) — 67 citations
• A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers (2018) — 471 citations