Jialin Wang

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 85 citations into it; #30,415 of 35,345 by trust here, #10,430 by citations
• Information Systems — 42 citations into it; #8,210 of 8,771 by trust here, #2,821 by citations
• Computer Vision and Pattern Recognition — 32 citations into it
• Representation & Self-Supervised Learning — 27 citations into it
• Recommender Systems — 15 citations into it; #212 of 233 by trust here, #145 by citations
• Management Science and Operations Research — 11 citations into it
• Information Retrieval & Search — 6 citations into it

Whom Jialin Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yehuda Koren
4. Ilya Sutskever
5. Tomas Mikolov
6. Diederik P. Kingma
7. Hongwei Wang
8. Alex Krizhevsky
9. Maximilian Nickel
10. Yann LeCun

Who trusts Jialin Wang overall

1. Hongwei Wang
2. Xiaohan Zou
3. Xiang Wang

Papers from Jialin Wang's perspective

Ordered by how strongly the researchers Jialin Wang 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. 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• GraphGAN: Graph Representation Learning with Generative Adversarial Nets (2017) — 698 citations
• RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems (2018) — 1,246 citations
• Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems (2018) — 34 citations