Xin Dong

Information Systems · with Sun · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 10 citations into it
• Recommender Systems — 9 citations into it
• Natural Language Processing — 5 citations into it
• Signal Processing — 5 citations into it

Whom Xin Dong trusts overall

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

1. Ruslan Salakhutdinov
2. Geoffrey E. Hinton
3. Andriy Mnih
4. Yoshua Bengio
5. Hao Wang
6. Ken Lang
7. Yehuda Koren
8. Pascal Vincent
9. Radford M. Neal
10. Diederik P. Kingma

Who trusts Xin Dong overall

1. Vito Bellini
2. Hongwei Wang
3. Tommaso Di Noia
4. Fuzheng Zhang
5. Angelo Schiavone

Papers from Xin Dong's perspective

Ordered by how strongly the researchers Xin Dong 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems (2017) — 297 citations