Guodong Zhou
Artificial Intelligence · with Zhang · 2002–2019
A researcher in the Science corpus: 8 papers; trusts 74 researchers and is trusted by 48 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 87 citations into it; #5,591 of 35,345 by trust here, #9,369 by citations
- Natural Language Processing — 52 citations into it; #5,024 of 5,688 by trust here, #4,112 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Molecular Biology — 14 citations into it
- Model Architectures — 13 citations into it
- Information Systems — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Human-Computer Interaction — 5 citations into it
Whom Guodong Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lawrence R. Rabiner
- Thorsten Joachims
- Yuhai Wu
- Michael Collins
- David Haussler
- Eugene Charniak
- E. Tjong Kim Sang
- Aron Culotta
- Dmitry Zelenko
- Yoshua Bengio
Who trusts Guodong Zhou overall
- Thien Huu Nguyen
- Xu Han
- Percy Liang
- Ralph Grishman
- Tianyu Gao
- Fei Li
- Cewu Lu
- Shaodian Zhang
- Mike D. Mintz
- Vikas Yadav
Papers from Guodong Zhou's perspective
Ordered by how strongly the researchers Guodong Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Exploring Various Knowledge in Relation Extraction (2005) — 865 citations
- Modeling Graph Structure in Transformer for Better AMR-to-Text Generation (2019) — 105 citations
- Named Entity Recognition using an HMM-based Chunk Tagger (2002) — 805 citations
- Chemical-induced disease relation extraction via convolutional neural network (2017) — 97 citations
- Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches (2017) — 101 citations
- Semi-supervised Gender Classification with Joint Textual and Social Modeling (2016) — 8 citations
- User Classification with Multiple Textual Perspectives (2016) — 19 citations
- Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information (2007) — 221 citations