Junnan Zhu
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 150 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it
- Natural Language Processing — 60 citations into it; #4,970 of 5,688 by trust here, #3,574 by citations
- Computer Vision and Pattern Recognition — 49 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Model Architectures — 13 citations into it
- Optimization & Training — 7 citations into it
Whom Junnan Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Chin-Yew Lin
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Alex Krizhevsky
- Jimmy Ba
- Karen Simonyan
- Yann LeCun
Who trusts Junnan Zhu overall
- Laura Perez-Beltrachini
- Hardy Hardy
- Tahmid Hasan
- Mirella Lapata
- Faisal Ladhak
- Wojciech Kryscinski
- Wang Wenbo
- Ziyi Yang
Papers from Junnan Zhu's perspective
Ordered by how strongly the researchers Junnan Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- NCLS: Neural Cross-Lingual Summarization (2019) — 145 citations
- Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch (2021) — 313 citations
- MSMO: Multimodal Summarization with Multimodal Output (2018) — 196 citations
- Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization (2018) — 104 citations