Hang Su
Artificial Intelligence · with Li · 2012–2016
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #5,479 of 35,345 by trust here, #7,010 by citations
- Signal Processing — 28 citations into it; #822 of 7,572 by trust here, #761 by citations
- Speech & Audio — 16 citations into it; #804 of 1,076 by trust here, #642 by citations
- Natural Language Processing — 15 citations into it
- Optimization & Training — 5 citations into it
Whom Hang Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dong Yu
- Brian Kingsbury
- Geoffrey E. Hinton
- James Martens
- Li Deng
- Abdel-rahman Mohamed
- George E. Dahl
- Frank Torsten Bernd Seide
- David E. Rumelhart
- Yoshua Bengio
Who trusts Hang Su overall
- Jinyu Li
- Li Deng
- Dong Yu
- Hasim Sak
- Tom Sercu
- Liang Lu
- Vaibhava Goel
- Pierre L. Dognin
- Naoyuki Kanda
- Awni Y. Hannun
Papers from Hang Su's perspective
Ordered by how strongly the researchers Hang Su 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
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Error back propagation for sequence training of Context-Dependent Deep NetworkS for conversational speech transcription (2013) — 153 citations
- Adaptation of context-dependent deep neural networks for automatic speech recognition (2012) — 215 citations
- KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition (2013) — 455 citations
- Semi-Supervised and Cross-Lingual Knowledge Transfer Learnings for DNN Hybrid Acoustic Models Under Low-Resource Conditions (2016) — 17 citations