Ziqiang Cao
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 104 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it; #7,076 of 35,345 by trust here, #4,526 by citations
- Natural Language Processing — 53 citations into it; #1,533 of 5,688 by trust here, #1,102 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Model Architectures — 9 citations into it
- Evaluation & Benchmarks — 7 citations into it; #1,580 of 3,147 by trust here, #1,489 by citations
- Optimization & Training — 5 citations into it
Whom Ziqiang Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning
- Chin-Yew Lin
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Kyunghyun Cho
- Sumit Chopra
- Alex Krizhevsky
- Nitish Srivastava
Who trusts Ziqiang Cao overall
- Yen-Chun Chen
- Tanya Goyal
- Zhe Gan
- Leonardo F. R. Ribeiro
- Feng Nan
- Greg Durrett
- Mihir Kale
- Yu Cheng
- Kai Wang
- Vidhisha Balachandran
Papers from Ziqiang Cao's perspective
Ordered by how strongly the researchers Ziqiang Cao 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset (2017) — 1,534 citations
- Faithful to the Original: Fact Aware Neural Abstractive Summarization (2017) — 393 citations
- Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization (2018) — 206 citations