Jiajun Shen
Artificial Intelligence · 2019
A researcher in the Science corpus: 4 papers; trusts 57 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 87 citations into it; #18,892 of 35,345 by trust here, #10,798 by citations
- Natural Language Processing — 61 citations into it; #3,688 of 5,688 by trust here, #2,605 by citations
- Computer Vision and Pattern Recognition — 42 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Graph Learning — 14 citations into it
- Optimization & Training — 11 citations into it
- Computer Networks and Communications — 5 citations into it; #8,242 of 9,886 by trust here, #5,961 by citations
- Management Science and Operations Research — 5 citations into it
Whom Jiajun Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Philipp Koehn
- David Yarowsky
- Alex Krizhevsky
- Ilya Sutskever
- Rico Sennrich
- Myle Ott
- Tomas Mikolov
Who trusts Jiajun Shen overall
- Peng-Jen Chen
- Parker Riley
- David M. Beskow
- Joseph Fisher
- Changhan Wang
- Jiatao Gu
- Isaac Caswell
- Machel Reid
Papers from Jiajun Shen's perspective
Ordered by how strongly the researchers Jiajun Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Revisiting Self-Training for Neural Sequence Generation (2019) — 297 citations
- The Source-Target Domain Mismatch Problem in Machine Translation (2019) — 28 citations
- PyTorch-BigGraph: A Large-scale Graph Embedding System (2019) — 414 citations
- Facebook AI’s WAT19 Myanmar-English Translation Task Submission (2019) — 29 citations