Zhengwei Huang

Signal Processing · 2014

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 17 citations into it; #4,108 of 7,572 by trust here, #3,428 by citations
• Artificial Intelligence — 13 citations into it; #19,944 of 35,345 by trust here, #19,439 by citations
• Experimental and Cognitive Psychology — 12 citations into it; #4,211 of 9,731 by trust here, #4,576 by citations

Whom Zhengwei Huang trusts overall

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

1. S. Haq
2. Felix Burkhardt
3. Duc Le
4. Philip J. B. Jackson
5. Dong Yu
6. Björn Schuller
7. Geoffrey E. Hinton
8. Honglak Lee
9. David E. Rumelhart
10. Emily Mower Provost

Who trusts Zhengwei Huang overall

1. Shiqing Zhang
2. Aharon Satt
3. Wootaek Lim
4. Yan Wang
5. Shiliang Zhang
6. Shai Rozenberg
7. Dae-young Jang
8. Mustaqeem
9. Weizhen Song

Papers from Zhengwei Huang's perspective

Ordered by how strongly the researchers Zhengwei Huang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Learning representations by back-propagating errors
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Representation Learning: A Review and New Perspectives
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014) — 538 citations
• Speech Emotion Recognition Using CNN (2014) — 378 citations