Guanjun Lin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Information Systems — 25 citations into it
• Software — 23 citations into it
• Natural Language Processing — 20 citations into it
• Computer Networks and Communications — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Model Architectures — 7 citations into it

Whom Guanjun Lin trusts overall

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

1. Tomas Mikolov
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Quoc V. Le
7. Alex Krizhevsky
8. Yoon Kim
9. Alex Graves
10. George V. Cybenko

Papers from Guanjun Lin's perspective

Ordered by how strongly the researchers Guanjun Lin 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Software Vulnerability Detection Using Deep Neural Networks: A Survey (2020) — 400 citations