Jianpeng Cheng

Natural Language Processing · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 371 researchers and is trusted by 175 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 199 citations into it; #476 of 5,688 by trust here, #919 by citations
• Artificial Intelligence — 174 citations into it; #1,610 of 35,345 by trust here, #3,715 by citations
• Computer Vision and Pattern Recognition — 57 citations into it; #4,034 of 21,575 by trust here, #3,848 by citations
• Model Architectures — 35 citations into it
• Information Systems — 12 citations into it
• Information Extraction — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Jianpeng Cheng trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Percy Liang
5. Dzmitry Bahdanau
6. Ilya Sutskever
7. Alex Graves
8. Oriol Vinyals
9. Sepp Hochreiter
10. Alex Krizhevsky

Who trusts Jianpeng Cheng overall

1. Mirella Lapata
2. Sunipa Dev
3. Yang Liu
4. Shay B. Cohen
5. Mohit Bansal
6. Kristjan Arumae
7. Qingyu Zhou
8. Qian Chen
9. Furu Wei
10. Masatoshi Tsuchiya

Papers from Jianpeng Cheng's perspective

Ordered by how strongly the researchers Jianpeng Cheng 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. ImageNet classification with deep convolutional neural networks
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. 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

• Long Short-Term Memory-Networks for Machine Reading (2016) — 1,177 citations
• Neural Summarization by Extracting Sentences and Words (2016) — 860 citations
• Learning Structured Natural Language Representations for Semantic Parsing (2017) — 75 citations
• Learning an Executable Neural Semantic Parser (2017) — 49 citations
• Building a Neural Semantic Parser from a Domain Ontology (2018) — 9 citations
• Edina: Building an Open Domain Socialbot with Self-dialogues (2017) — 44 citations