Sheng Gao

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #27,604 of 35,345 by trust here, #22,463 by citations
• Information Systems — 14 citations into it; #6,402 of 8,771 by trust here, #4,885 by citations

Whom Sheng Gao trusts overall

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

1. Bin Li
2. Qiang Yang
3. Chris H. Q. Ding
4. Daniel D. Lee
5. Yehuda Koren
6. Xiangyang Xue
7. Tao Li
8. Hans-Jürgen Sebastian

Who trusts Sheng Gao overall

1. Zhiyong Cheng
2. Iván Cantador
3. Jia He

Papers from Sheng Gao's perspective

Ordered by how strongly the researchers Sheng Gao 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. A Survey on Transfer Learning
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Aspect-based latent factor model by integrating ratings and reviews for recommender system (2016) — 64 citations
• Cross-Domain Recommendation via Cluster-Level Latent Factor Model (2013) — 202 citations