Zongbo Han

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 155 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Computer Vision and Pattern Recognition — 46 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Probabilistic & Bayesian Methods — 15 citations into it
• Statistics and Probability — 8 citations into it
• Generative Models — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Zongbo Han trusts overall

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

1. Radford M. Neal
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. Karen Simonyan
10. Jimmy Ba

Papers from Zongbo Han's perspective

Ordered by how strongly the researchers Zongbo 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. 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. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Trusted Multi-View Classification With Dynamic Evidential Fusion (2022) — 474 citations
• Deep Partial Multi-View Learning (2020) — 315 citations