Hao Zhong

Information Systems · with Ming · 2015

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 27 citations into it
• Artificial Intelligence — 23 citations into it
• Recommender Systems — 18 citations into it
• Management Science and Operations Research — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Marketing — 5 citations into it

Whom Hao Zhong trusts overall

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

1. Yehuda Koren
2. Steffen Rendle
3. Weike Pan
4. Ruslan Salakhutdinov
5. Qiang Yang
6. Yoav Freund
7. Nati Srebro
8. Andriy Mnih
9. Ulrich Paquet
10. Yifan Hu

Papers from Hao Zhong's perspective

Ordered by how strongly the researchers Hao Zhong 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation (2015) — 59 citations
• Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks (2015) — 168 citations