Wenhua Wang

Artificial Intelligence · with Xu · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Natural Language Processing — 18 citations into it
• Information Systems — 15 citations into it
• Reinforcement Learning — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Wenhua Wang trusts overall

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

1. Chin-Yew Lin
2. Stephen W. Carden
3. Mohit Sewak
4. Nick Craswell
5. Xing Hu
6. Dana Movshovitz-Attias
7. Satanjeev Banerjee
8. Antonio Valerio Miceli Barone
9. John C. Duchi
10. Ramakrishna Vedantam

Papers from Wenhua Wang's perspective

Ordered by how strongly the researchers Wenhua 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search (2020) — 40 citations