Daojian Zeng

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it; #7,816 of 35,345 by trust here, #7,657 by citations
• Natural Language Processing — 40 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Model Architectures — 9 citations into it
• Molecular Biology — 6 citations into it
• Optimization & Training — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Information Extraction — 5 citations into it; #43 of 407 by trust here, #10 by citations

Whom Daojian Zeng trusts overall

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

1. Yoshua Bengio
2. Matthew D. Zeiler
3. Geoffrey E. Hinton
4. Ronan Collobert
5. Tomas Mikolov
6. Yoon Kim
7. Diederik P. Kingma
8. Richard Socher
9. Dmitry Zelenko
10. Alex Krizhevsky

Who trusts Daojian Zeng overall

1. Xu Han
2. Thien Huu Nguyen
3. Zhiyuan Liu
4. Zhiquan Ye
5. Yankai Lin
6. Tianyu Gao
7. Christoph Alt
8. Maosong Sun
9. Mo Yu
10. Alisa Smirnova

Papers from Daojian Zeng's perspective

Ordered by how strongly the researchers Daojian Zeng 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. Long Short-Term Memory
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

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
• Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism (2018) — 476 citations
• Relation Classification via Convolutional Deep Neural Network (2014) — 1,761 citations