Yulan He
Artificial Intelligence · International Workshop on the Semantic Web · 2006–2021
A researcher in the Science corpus: 12 papers; trusts 87 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 102 citations into it; #7,295 of 35,345 by trust here, #9,760 by citations
- Natural Language Processing — 41 citations into it
- Molecular Biology — 33 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Statistical and Nonlinear Physics — 17 citations into it; #3,211 of 10,127 by trust here, #5,625 by citations
- Generative Models — 9 citations into it
- Optimization & Training — 7 citations into it
- Statistics and Probability — 6 citations into it
Whom Yulan He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter D. Turney
- Bo Pang
- Alec Go
- Susannah Young
- Hassan Saif
- Michael Speriosu
- Geoffrey E. Hinton
- Jean-Luc Gauvain
- Diederik P. Kingma
- Brian Roark
Who trusts Yulan He overall
- Luke S. Zettlemoyer
- Anastasia Giahanou
- Hassan Saif
- Fabio A. Crestani
- Yun-Nung (Vivian) Chen
- Tom Kwiatkowski
- Jianqiang Zhao
- François Mairesse
- Michael Collins
- Miriam Fernández
Papers from Yulan He's perspective
Ordered by how strongly the researchers Yulan He trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- Spoken language understanding using the Hidden Vector State Model (2006) — 108 citations
- Extracting interactions between proteins from the literature (2008) — 98 citations
- On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter (2014) — 250 citations
- Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies (2021) — 38 citations
- Open Event Extraction from Online Text using a Generative Adversarial Network (2019) — 46 citations
- Contextual semantics for sentiment analysis of Twitter (2016) — 424 citations
- Exploring demographic information in social media for product recommendation (2015) — 77 citations
- We know what you want to buy: a demographic-based system for product recommendation on microblogs (2014) — 161 citations
- Evaluation Datasets for Twitter Sentiment Analysis: A survey and a new dataset, the STS-Gold (2013) — 321 citations
- Semantic Sentiment Analysis of Twitter (2012) — 579 citations
- Alleviating Data Sparsity for Twitter Sentiment Analysis (2012) — 227 citations
- Weakly Supervised Joint Sentiment-Topic Detection from Text (2012) — 359 citations