Chenxu Wang

Signal Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 19 citations into it
• Artificial Intelligence — 10 citations into it
• Computational Mechanics — 9 citations into it
• Cognitive Neuroscience — 7 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Chenxu Wang trusts overall

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

1. Rainer Martin
2. Israel Cohen

Papers from Chenxu Wang's perspective

Ordered by how strongly the researchers Chenxu Wang 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. Rectified Linear Units Improve Restricted Boltzmann Machines
3. Layer Normalization
4. Librispeech: An ASR corpus based on public domain audio books
5. Speech Enhancement Using a-Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator
6. Noise power spectral density estimation based on optimal smoothing and minimum statistics (IEEE Transactions on Speech and Audio Processing)
7. DARPA TIMIT:: acoustic-phonetic continuous speech corpus CD-ROM, NIST speech disc 1-1.1
8. Spectral Subtraction Based on Minimum Statistics
9. Neural Machine Translation in Linear Time
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation (2020) — 131 citations