Wenjing Han

2016

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

Whom Wenjing Han trusts overall

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

1. Burr Settles
2. David D. Lewis
3. Simon Tong
4. Nicholas A. Roy
5. Katrin Tomanek
6. Andrew McCallum
7. Florian Eyben
8. Gökhan Tür
9. Ion Muslea
10. Zhi-Hua Zhou

Who trusts Wenjing Han overall

1. Shuyang Zhao
2. Yu Wang
3. Toni Heittola

Papers from Wenjing Han's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Query by committee
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments (2016) — 65 citations