Guang Ling

Information Systems · 2014

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 17 citations into it; #2,062 of 8,771 by trust here, #3,315 by citations
• Recommender Systems — 12 citations into it
• Artificial Intelligence — 11 citations into it; #11,626 of 35,345 by trust here, #17,412 by citations

Whom Guang Ling trusts overall

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

1. Steffen Rendle
2. Yehuda Koren
3. Ruslan Salakhutdinov
4. David M. Blei
5. Julian McAuley
6. Justin Basilico
7. Andriy Mnih
8. Thomas Hofmann
9. Andrew Y. Ng
10. Geoffrey E. Hinton

Who trusts Guang Ling overall

1. Zhiyong Cheng
2. Chenliang Li
3. Qian Zhang
4. Guangneng Hu
5. Trapit Bansal
6. Libing Wu
7. Xiangnan He
8. Sungyong Seo
9. Yunzhi Tan
10. Amjad Almahairi

Papers from Guang Ling's perspective

Ordered by how strongly the researchers Guang Ling 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Ratings meet reviews, a combined approach to recommend (2014) — 381 citations