Wubo Li
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it; #29,330 of 35,345 by trust here, #17,412 by citations
- Signal Processing — 56 citations into it; #6,306 of 7,572 by trust here, #3,566 by citations
- Speech & Audio — 55 citations into it; #1,047 of 1,076 by trust here, #832 by citations
- Representation & Self-Supervised Learning — 21 citations into it; #3,062 of 3,145 by trust here, #2,516 by citations
- Optimization & Training — 5 citations into it
Whom Wubo Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Alex Graves
- Kaiming He
- Jimmy Ba
- Yann LeCun
- Ashish Vaswani
Who trusts Wubo Li overall
Papers from Wubo Li's perspective
Ordered by how strongly the researchers Wubo Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- A Further Study of Unsupervised Pretraining for Transformer Based Speech Recognition (2020) — 32 citations
- Improving Transformer-based Speech Recognition Using Unsupervised Pre-training (2019) — 106 citations
- Didispeech: A Large Scale Mandarin Speech Corpus (2020) — 63 citations