Mengting Wan

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Information Systems — 24 citations into it; #5,545 of 8,771 by trust here, #7,705 by citations
• Computer Vision and Pattern Recognition — 16 citations into it
• Marketing — 10 citations into it
• Management Science and Operations Research — 9 citations into it; #7,851 of 11,946 by trust here, #9,931 by citations
• Recommender Systems — 9 citations into it; #206 of 233 by trust here, #206 by citations
• Representation & Self-Supervised Learning — 6 citations into it

Whom Mengting Wan trusts overall

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

1. Yehuda Koren
2. Christopher C. Johnson
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Jie Zhang
6. L. V. D. van der Maaten
7. L. Eon Bottou
8. Steffen Rendle
9. Yifan Hu
10. Tom Fawcett

Who trusts Mengting Wan overall

1. Susan Athey
2. Chen Ma
3. Francisco J. R. Ruiz
4. Rob Donnelly
5. David M. Blei
6. Peng Kang
7. Xue Liu

Papers from Mengting Wan's perspective

Ordered by how strongly the researchers Mengting Wan 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Decomposing fit semantics for product size recommendation in metric spaces (2018) — 59 citations
• Item recommendation on monotonic behavior chains (2018) — 315 citations
• Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs (2017) — 63 citations