Guihong Cao
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 106 citations into it; #23,819 of 35,345 by trust here, #6,956 by citations
- Natural Language Processing — 95 citations into it; #3,982 of 5,688 by trust here, #1,611 by citations
Whom Guihong Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Wei Hsu
- Alex Smola
- Chih-Jen Lin
- Geoffrey E. Hinton
- Radford M. Neal
- Diederik P. Kingma
- Peter L. Bartlett
- Yoshua Bengio
- Bernhard Schölkopf
- Chengxiang Zhai
Who trusts Guihong Cao overall
- Chenyan Xiong
- Rodrigo Nogueira
- Maxime Peyrard
- Claudio Carpineto
- Jianfeng Gao
- Jonas Pfeiffer
- Wen Zheng
- Pavel Serdyukov
- Yang Xu
- Dipanjan Das
Papers from Guihong Cao's perspective
Ordered by how strongly the researchers Guihong Cao trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters (2020) — 629 citations
- Selecting good expansion terms for pseudo-relevance feedback (2008) — 477 citations
- An Information-Theoretic Approach to Automatic Evaluation of Summaries (2006) — 106 citations
- XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation (2020) — 398 citations
- The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding (2020) — 62 citations