Zhilin Zhang
Computational Mechanics · 2011–2015
A researcher in the Science corpus: 6 papers; trusts 69 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 65 citations into it; #1,751 of 10,001 by trust here, #3,908 by citations
- Signal Processing — 31 citations into it; #1,306 of 7,572 by trust here, #3,099 by citations
- Biomedical Engineering — 28 citations into it; #4,469 of 10,734 by trust here, #7,109 by citations
- Computer Vision and Pattern Recognition — 25 citations into it; #13,112 of 21,575 by trust here, #19,766 by citations
- Computer Networks and Communications — 13 citations into it
- Applied Mathematics — 11 citations into it
- Statistics and Probability — 10 citations into it
- Cardiology and Cardiovascular Medicine — 9 citations into it; #405 of 906 by trust here, #665 by citations
Whom Zhilin Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yonina C. Eldar
- Bhaskar D. Rao
- David Paul Wipf
- David L. Donoho
- Shane F. Cotter
- E.J. Candes
- Joel A. Tropp
- George Eastman House
- Michael Elad
- Richard Baraniuk
Who trusts Zhilin Zhang overall
- Bhaskar D. Rao
- Jeremy P. Vila
- Zai Yang
- Andrea Massa
- Tzyy-Ping Jung
- J. Andrew Zhang
- Chongwen Huang
- Attila Reiss
- Jian Zhang
- Jun Won Choi
Papers from Zhilin Zhang's perspective
Ordered by how strongly the researchers Zhilin Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Regression Shrinkage and Selection via the Lasso
- Atomic Decomposition by Basis Pursuit
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise (2014) — 732 citations
- Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease (2012) — 77 citations
- Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning (2012) — 335 citations
- Photoplethysmography-Based Heart Rate Monitoring in Physical Activities via Joint Sparse Spectrum Reconstruction (2015) — 371 citations
- Extension of SBL Algorithms for the Recovery of Block Sparse Signals With Intra-Block Correlation (2012) — 539 citations
- Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning (2011) — 825 citations