Yongjun Wang

Artificial Intelligence · with Pang · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Signal Processing — 11 citations into it
• Computer Networks and Communications — 7 citations into it

Whom Yongjun Wang trusts

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

1. Jimmy Ba (in Artificial Intelligence)
2. Eamonn J. Keogh (in Artificial Intelligence)
3. Bryan Hooi (in Artificial Intelligence)
4. Ailin Deng (in Artificial Intelligence)
5. Dustin Tran (in Artificial Intelligence)

Papers from Yongjun Wang's perspective

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

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

Their papers

• Deep Isolation Forest for Anomaly Detection (2022) — 493 citations