Peng Kang

Information Systems · 2019

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 30 citations into it; #6,042 of 8,771 by trust here, #6,195 by citations
• Artificial Intelligence — 24 citations into it; #26,327 of 35,345 by trust here, #26,682 by citations
• Computer Vision and Pattern Recognition — 11 citations into it; #16,146 of 21,575 by trust here, #17,258 by citations
• Management Science and Operations Research — 11 citations into it
• Recommender Systems — 10 citations into it

Whom Peng Kang trusts overall

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

1. Ruining He
2. Julian McAuley
3. Balázs Hidasi
4. Diederik P. Kingma
5. Wang-Cheng Kang
6. Alexandros Karatzoglou
7. Geoffrey E. Hinton
8. Steffen Rendle
9. Yoshua Bengio
10. Jimmy Ba

Who trusts Peng Kang overall

1. Kun Zhou
2. Liwei Wu
3. Junling Liu

Papers from Peng Kang's perspective

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

Their papers

• Hierarchical Gating Networks for Sequential Recommendation (2019) — 411 citations