Jianwen Zhang

Artificial Intelligence · with Chen · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #3,761 of 35,345 by trust here, #4,627 by citations
• Natural Language Processing — 25 citations into it; #3,991 of 5,688 by trust here, #3,282 by citations
• Representation & Self-Supervised Learning — 17 citations into it
• Graph Learning — 13 citations into it; #115 of 693 by trust here, #134 by citations
• Knowledge Graphs & Representation — 7 citations into it
• Molecular Biology — 7 citations into it
• Information Retrieval & Search — 5 citations into it

Whom Jianwen Zhang trusts overall

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

1. Antoine Bordes
2. Jason Aaron Edward Weston
3. Richard Socher
4. Tomas Mikolov
5. Yoshua Bengio
6. Christopher D. Manning
7. Geoffrey E. Hinton
8. Ilya Sutskever
9. Mike D. Mintz
10. Mihai Surdeanu

Who trusts Jianwen Zhang overall

1. Hongwei Wang
2. Ruobing Xie
3. Zhiyuan Liu
4. Liang Yao
5. Kristina Toutanova
6. Xiao Huang
7. Quan Wang
8. Baoxu Shi
9. Yankai Lin
10. Guoliang Ji

Papers from Jianwen Zhang's perspective

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

Their papers

• Knowledge Graph Embedding by Translating on Hyperplanes (2014) — 4,058 citations
• Knowledge Graph and Text Jointly Embedding (2014) — 401 citations
• Aligning Knowledge and Text Embeddings by Entity Descriptions (2015) — 165 citations