Clinton Jia Wang

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Reinforcement Learning — 28 citations into it

Whom Clinton Jia Wang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Sergey Ioffe
4. Ilya Sutskever
5. Diederik P. Kingma
6. Sepp Hochreiter
7. Yoshua Bengio
8. Andrew Y. Ng
9. Christian Szegedy
10. Volodymyr Mnih

Papers from Clinton Jia Wang's perspective

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

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

Their papers

• Pre-Trained Language Models for Interactive Decision-Making (2022) — 334 citations
• Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI (2019) — 309 citations