Xiaodong Cui
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 8 papers; trusts 95 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 114 citations into it; #9,525 of 35,345 by trust here, #6,266 by citations
- Computer Vision and Pattern Recognition — 63 citations into it
- Signal Processing — 53 citations into it; #1,752 of 7,572 by trust here, #1,504 by citations
- Model Architectures — 41 citations into it
- Optimization & Training — 30 citations into it; #1,099 of 2,601 by trust here, #1,046 by citations
- Speech & Audio — 30 citations into it; #398 of 1,076 by trust here, #325 by citations
- Natural Language Processing — 26 citations into it
Whom Xiaodong Cui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Brian Kingsbury
- Chris Leggetter
- Tara N. Sainath
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Navdeep Jaitly
- Hagen Soltau
Who trusts Xiaodong Cui overall
- Esben Jannik Bjerrum
- Mark John Francis Gales
- Anton Ragni
- Morgane Rivière
- Jason Wei
- Brian Kenji Iwana
- Neha Dawar
- Samik Sadhu
- K. Knill
- Tom Ko
Papers from Xiaodong Cui's perspective
Ordered by how strongly the researchers Xiaodong Cui trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- English Conversational Telephone Speech Recognition by Humans and Machines (2017) — 374 citations
- Dilated Recurrent Neural Networks (2017) — 351 citations
- Data Augmentation for deep neural network acoustic modeling (2014) — 409 citations
- Multilingual representations for low resource speech recognition and keyword search (2015) — 103 citations
- Ultra-Low Precision 4-bit Training of Deep Neural Networks (2020) — 217 citations
- Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks (2019) — 255 citations
- Embedding-Based Speaker Adaptive Training of Deep Neural Networks (2017) — 41 citations
- Data Augmentation for Deep Neural Network Acoustic Modeling (2015) — 77 citations