Hanning Zhou

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 196 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it
• Computer Vision and Pattern Recognition — 77 citations into it; #20,908 of 21,575 by trust here, #9,305 by citations
• Information Systems — 52 citations into it
• Recommender Systems — 26 citations into it
• Generative Models — 17 citations into it
• Representation & Self-Supervised Learning — 15 citations into it; #3,039 of 3,145 by trust here, #2,355 by citations
• Model Architectures — 14 citations into it
• Management Science and Operations Research — 11 citations into it

Whom Hanning Zhou trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Ruslan Salakhutdinov
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Yann LeCun
8. Hugo Larochelle
9. Ilya Sutskever
10. Radford M. Neal

Who trusts Hanning Zhou overall

1. Harald Steck

Papers from Hanning Zhou's perspective

Ordered by how strongly the researchers Hanning Zhou 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering (2016) — 869 citations
• Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction (2020) — 94 citations
• Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation (2019) — 61 citations
• A Neural Autoregressive Approach to Collaborative Filtering (2016) — 227 citations