Chonglin Sun

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it; #24,322 of 35,345 by trust here, #18,186 by citations
• Computer Vision and Pattern Recognition — 58 citations into it
• Natural Language Processing — 25 citations into it; #4,062 of 5,688 by trust here, #3,897 by citations
• Model Architectures — 22 citations into it; #1,627 of 2,278 by trust here, #1,693 by citations
• Representation & Self-Supervised Learning — 7 citations into it

Whom Chonglin Sun trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yoon Kim
4. Quoc V. Le
5. Ilya Sutskever
6. Richard Socher
7. Alex Krizhevsky
8. Tomas Mikolov
9. Nal Kalchbrenner
10. Kyunghyun Cho

Who trusts Chonglin Sun overall

1. Gang Liu
2. T. Kim
3. Rui Cao
4. Sweta Karlekar
5. James Bradbury
6. Zhengjie Gao

Papers from Chonglin Sun's perspective

Ordered by how strongly the researchers Chonglin Sun 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A C-LSTM Neural Network for Text Classification (2015) — 931 citations
• Software-hardware co-design for fast and scalable training of deep learning recommendation models (2021) — 209 citations
• High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models (2021) — 49 citations