Hongyang Xue

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 524 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #13,389 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 63 citations into it; #21,585 of 35,345 by trust here, #18,186 by citations
• Multimodal Learning — 32 citations into it
• Natural Language Processing — 27 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Model Architectures — 11 citations into it

Whom Hongyang Xue trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Kaiming He
5. Alex Krizhevsky
6. Yoshua Bengio
7. Ilya Sutskever
8. Richard Socher
9. Yann LeCun
10. Andrew Zisserman

Who trusts Hongyang Xue overall

1. Junbin Xiao
2. Zhou Zhao
3. Luke Melas-Kyriazi
4. Yueting Zhuang
5. Yuxi Wang
6. Xindi Shang
7. Yahao Liu
8. Shuwen Xiao

Papers from Hongyang Xue's perspective

Ordered by how strongly the researchers Hongyang Xue 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Better Way to Attend: Attention With Trees for Video Question Answering (2018) — 34 citations
• Domain Adaptation for Semantic Segmentation With Maximum Squares Loss (2019) — 320 citations
• Unifying the Video and Question Attentions for Open-Ended Video Question Answering (2017) — 67 citations