Tinglin Huang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Information Systems — 23 citations into it

Whom Tinglin Huang trusts overall

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

1. Xiang Wang
2. Diederik P. Kingma
3. Hongwei Wang
4. Yoshua Bengio
5. Steffen Rendle
6. Xiangnan He
7. Xavier Glorot
8. Fuzheng Zhang
9. Geoffrey E. Hinton
10. Jimmy Ba

Papers from Tinglin Huang's perspective

Ordered by how strongly the researchers Tinglin Huang 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Intents behind Interactions with Knowledge Graph for Recommendation (2021) — 609 citations