Xing Fan

Artificial Intelligence · with Guo · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it; #23,052 of 35,345 by trust here, #16,166 by citations
• Natural Language Processing — 36 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it; #14,292 of 21,575 by trust here, #12,172 by citations
• Meta & Continual Learning — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Model Architectures — 6 citations into it

Whom Xing Fan trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Oriol Vinyals
4. Ilya Sutskever
5. Dzmitry Bahdanau
6. Kyunghyun Cho
7. Luke S. Zettlemoyer
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Xing Fan overall

1. Jianpeng Cheng
2. Qile Zhu
3. Marco Damonte
4. Siva Reddy
5. Young-Bum Kim
6. Sonal Gupta
7. Mirella Lapata
8. Xiyao Ma
9. Rahul Goel
10. Li Dong

Papers from Xing Fan's perspective

Ordered by how strongly the researchers Xing Fan 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Knowledge Distillation from Internal Representations (2019) — 204 citations
• Transfer Learning for Neural Semantic Parsing (2017) — 65 citations
• Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation (2022) — 63 citations