Xianjing Han

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #20,252 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 26 citations into it
• Information Systems — 15 citations into it
• Recommender Systems — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Xianjing Han trusts overall

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

1. L. Eon Bottou
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Dzmitry Bahdanau
5. Ilya Sutskever
6. Julian McAuley
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Tomas Mikolov
10. Yann LeCun

Who trusts Xianjing Han overall

1. David M. Beskow

Papers from Xianjing Han's perspective

Ordered by how strongly the researchers Xianjing Han 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. Long Short-Term Memory
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. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Neural Compatibility Modeling With Probabilistic Knowledge Distillation (2020) — 44 citations
• Neural Compatibility Modeling with Attentive Knowledge Distillation (2018) — 167 citations