Hongteng Xu

Artificial Intelligence · with Chen · 2018–2019

A researcher in the Science corpus: 6 papers; trusts 291 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 113 citations into it
• Information Systems — 85 citations into it
• Computer Vision and Pattern Recognition — 82 citations into it
• Natural Language Processing — 29 citations into it
• Model Architectures — 23 citations into it
• Recommender Systems — 23 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Signal Processing — 14 citations into it

Whom Hongteng Xu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Julian McAuley
6. Ilya Sutskever
7. Kaiming He
8. Karen Simonyan
9. Alex Graves
10. Jimmy Ba

Who trusts Hongteng Xu overall

1. Liqun Chen
2. Xu Chen
3. Yongfeng Zhang
4. Jun Shu
5. Yingtao Luo

Papers from Hongteng Xu's perspective

Ordered by how strongly the researchers Hongteng 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Gromov-Wasserstein Learning for Graph Matching and Node Embedding (2019) — 323 citations
• Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation (2019) — 358 citations
• Adversarial Distillation for Efficient Recommendation with External Knowledge (2018) — 62 citations
• Quaternion Convolutional Neural Networks (2018) — 195 citations
• Sequential Recommendation with User Memory Networks (2018) — 544 citations
• Visually Explainable Recommendation (2018) — 54 citations