Yahong Han

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 238 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it; #3,920 of 21,575 by trust here, #13,815 by citations
• Safety, Robustness & Interpretability — 17 citations into it
• Multimodal Learning — 10 citations into it
• Question Answering & Reading Comprehension — 10 citations into it; #20 of 335 by trust here, #216 by citations
• Model Architectures — 9 citations into it
• Signal Processing — 5 citations into it

Whom Yahong Han trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Jimmy Ba
5. Yoshua Bengio
6. Ian J. Goodfellow
7. Diederik P. Kingma
8. Christian Szegedy
9. Yann LeCun
10. Ilya Sutskever

Who trusts Yahong Han overall

1. Thao Minh Le
2. Rohit Girdhar
3. Anthony Manchin
4. Vuong Le
5. Deva Ramanan
6. Svetha Venkatesh
7. Junbin Xiao
8. Ehsan Abbasnejad
9. Truyen Tran
10. Antoine Yang

Papers from Yahong Han's perspective

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

Their papers

• Explore Multi-Step Reasoning in Video Question Answering (2018) — 58 citations
• Reasoning with Heterogeneous Graph Alignment for Video Question Answering (2020) — 220 citations
• Curls & Whey: Boosting Black-Box Adversarial Attacks (2019) — 126 citations