Sining Sun

Signal Processing · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 36 citations into it; #5,002 of 7,572 by trust here, #4,051 by citations
• Artificial Intelligence — 33 citations into it; #24,165 of 35,345 by trust here, #21,878 by citations
• Speech & Audio — 19 citations into it
• Computational Mechanics — 12 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Natural Language Processing — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Sining Sun trusts overall

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

1. Geoffrey E. Hinton
2. L. Eon Bottou
3. Alex Graves
4. Yoshua Bengio
5. Daniel Povey
6. Abdel-rahman Mohamed
7. Diederik P. Kingma
8. Yann LeCun
9. Alex Krizhevsky
10. Yaroslav Ganin

Who trusts Sining Sun overall

1. Zhong Meng
2. Wei-Ning Hsu
3. Jinyu Li
4. Zhuo Chen
5. James R. Glass
6. Vadim Mazalov
7. Dong Yu
8. Yifan Gong

Papers from Sining Sun's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• An unsupervised deep domain adaptation approach for robust speech recognition (2017) — 164 citations
• Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition (2018) — 40 citations
• A Study of Learning Based Beamforming Methods for Speech Recognition (2016)