Yubo Chen

Artificial Intelligence · with Liu · 2015–2020

A researcher in the Science corpus: 6 papers; trusts 142 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 99 citations into it; #6,232 of 35,345 by trust here, #6,664 by citations
• Natural Language Processing — 55 citations into it; #5,103 of 5,688 by trust here, #4,361 by citations
• Representation & Self-Supervised Learning — 25 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 11 citations into it
• Management Science and Operations Research — 10 citations into it; #5,018 of 11,946 by trust here, #2,873 by citations
• Large Language Models — 6 citations into it

Whom Yubo Chen trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Tomas Mikolov
4. Diederik P. Kingma
5. Thien Huu Nguyen
6. Heng Ji
7. Ralph Grishman
8. Qi Li
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts Yubo Chen overall

1. Thien Huu Nguyen
2. Jian Liu
3. Sijia Wang
4. Pengfei Yu
5. Heng Ji
6. Xu Han
7. Mo Yu
8. Pengfei Cao
9. Ralph Grishman
10. Kang Liu

Papers from Yubo Chen's perspective

Ordered by how strongly the researchers Yubo Chen 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. Long Short-Term Memory
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks (2015) — 1,111 citations
• Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks (2015) — 894 citations
• Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms (2017) — 225 citations
• Event Extraction as Machine Reading Comprehension (2020) — 334 citations
• Incremental Event Detection via Knowledge Consolidation Networks (2020) — 52 citations
• Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection (2019) — 67 citations