Cong Zhou

Signal Processing · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 28 citations into it; #5,356 of 7,572 by trust here, #3,198 by citations
• Speech & Audio — 22 citations into it; #782 of 1,076 by trust here, #783 by citations
• Artificial Intelligence — 19 citations into it
• Optimization & Training — 5 citations into it

Whom Cong Zhou trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Jean-Marc Valin
5. Sugato Chakravarty
6. Ronald J. Williams
7. Aäron van den Oord
8. Cassia Valentini-Botinhao
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Cong Zhou overall

1. Jan Skoglund
2. Jean-Marc Valin

Papers from Cong Zhou's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• High Quality Audio Coding with Mdctnet (2022) — 11 citations
• Source Coding of Audio Signals with a Generative Model (2020) — 17 citations
• High-quality Speech Coding with Sample RNN (2018) — 63 citations