Yongli Wang

Artificial Intelligence · with Jelodar · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Information Systems — 14 citations into it
• Natural Language Processing — 10 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Yongli Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David M. Blei
2. Andrew McCallum
3. Matthew S. Gerber
4. Geoffrey E. Hinton
5. T. Griffiths
6. Michael I. Jordan
7. Hazel Victoria Campbell
8. Yoshua Bengio
9. Diederik P. Kingma
10. Tom Minka

Who trusts Yongli Wang overall

1. Hamed Jelodar

Papers from Yongli Wang's perspective

Ordered by how strongly the researchers Yongli Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Incremental semi-supervised learning on streaming data (2019) — 58 citations
• Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach (2020) — 343 citations
• Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey (2017) — 1,778 citations