Baoxun Wang

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Natural Language Processing — 59 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Model Architectures — 12 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Baoxun Wang trusts overall

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

1. Yoshua Bengio
2. Oriol Vinyals
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Quoc V. Le
6. Diederik P. Kingma
7. Jiwei Li
8. Sepp Hochreiter
9. Alex Krizhevsky
10. Alex Graves

Papers from Baoxun Wang's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Neural Response Generation via GAN with an Approximate Embedding Layer (2017) — 86 citations
• Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory (2015) — 273 citations
• LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics (2018) — 14 citations