Lu Chen

Artificial Intelligence · with Yu · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 86 citations into it
• Natural Language Processing — 52 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Reinforcement Learning — 26 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Lu Chen trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ashish Vaswani
6. Radford M. Neal
7. Alex Krizhevsky
8. Kaiming He
9. Alex Graves
10. Ilya Sutskever

Who trusts Lu Chen overall

1. Christian Geishauser
2. Carel van Niekerk
3. Izzeddin Gur
4. Gianni Brauwers
5. Zhaojiang Lin
6. Zhi Chen
7. Chia-Hsuan Lee
8. Ruisheng Cao
9. Nurul Lubis
10. Chen Zhang

Papers from Lu Chen's perspective

Ordered by how strongly the researchers Lu Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks (2020) — 144 citations
• Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks (2020) — 31 citations
• WebSRC: A Dataset for Web-Based Structural Reading Comprehension (2021) — 123 citations
• Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management (2020) — 22 citations
• Structured Dialogue Policy with Graph Neural Networks (2018) — 33 citations