Chunxi Liu
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it
- Speech & Audio — 55 citations into it
- Signal Processing — 54 citations into it
- Natural Language Processing — 47 citations into it
- Model Architectures — 26 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Optimization & Training — 7 citations into it
Whom Chunxi Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Daniel Povey
- Diederik P. Kingma
- Yoshua Bengio
- Michael I. Jordan
- Alex Graves
- Jimmy Ba
- Alex Krizhevsky
- Karen Simonyan
- Vijayaditya Peddinti
Papers from Chunxi Liu's perspective
Ordered by how strongly the researchers Chunxi Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Transformer-Based Acoustic Modeling for Hybrid Speech Recognition (2019) — 266 citations
- Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces (2020) — 20 citations
- Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings (2018) — 7 citations
- An empirical evaluation of zero resource acoustic unit discovery (2017) — 14 citations