Tingyang Xu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 6 papers; trusts 226 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 132 citations into it
• Computer Vision and Pattern Recognition — 81 citations into it
• Representation & Self-Supervised Learning — 54 citations into it
• Graph Learning — 52 citations into it
• Molecular Biology — 33 citations into it
• Model Architectures — 20 citations into it
• Optimization & Training — 19 citations into it
• Sociology and Political Science — 15 citations into it

Whom Tingyang Xu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Christian Szegedy
9. Ross B. Girshick
10. Sergey Ioffe

Who trusts Tingyang Xu overall

1. Shaked Brody

Papers from Tingyang Xu's perspective

Ordered by how strongly the researchers Tingyang Xu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Progressive Feature Alignment for Unsupervised Domain Adaptation (2018) — 481 citations
• DropEdge: Towards Deep Graph Convolutional Networks on Node Classification (2019) — 1,663 citations
• Deep Multimodal Fusion by Channel Exchanging (2020) — 310 citations
• Graph Representation Learning via Graphical Mutual Information Maximization (2020) — 693 citations
• Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks (2020) — 816 citations
• Self-Supervised Graph Transformer on Large-Scale Molecular Data (2020) — 1,044 citations