Cheng-Kang Hsieh

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Information Systems — 17 citations into it
• Recommender Systems — 9 citations into it

Whom Cheng-Kang Hsieh trusts overall

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

1. Steffen Rendle
2. Kaiming He
3. Geoffrey E. Hinton
4. Jason Aaron Edward Weston
5. John C. Duchi
6. Yehuda Koren
7. Anshumali Shrivastava
8. Thorsten Joachims
9. Feng Niu
10. Diane Kelly

Who trusts Cheng-Kang Hsieh overall

1. Jiaxi Tang
2. Yi Tay
3. Fan Liu
4. Kelong Mao
5. Ke Wang
6. Anh Tuan Luu

Papers from Cheng-Kang Hsieh's perspective

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

Their papers

• Collaborative Metric Learning (2017) — 550 citations