Haoran Li
Artificial Intelligence · with Zhang · 2018
A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it
- Natural Language Processing — 38 citations into it; #4,990 of 5,688 by trust here, #4,032 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Model Architectures — 6 citations into it
Whom Haoran Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Chin-Yew Lin
- Geoffrey E. Hinton
- Sumit Chopra
- Ilya Sutskever
- Ramesh Nallapati
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
Who trusts Haoran Li overall
- Hardy Hardy
- Wojciech Kryscinski
- Wang Wenbo
- Tobias Falke
- Andreas Vlachos
- Ziwei Ji
- Bryan McCann
- Yang Gao
- Leonardo F. R. Ribeiro
Papers from Haoran Li's perspective
Ordered by how strongly the researchers Haoran Li 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- 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