Yuan Shen
Electrical and Electronic Engineering · IEEE Transactions on Information Theory · 2010–2022
A researcher in the Science corpus: 10 papers; trusts 119 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 106 citations into it; #2,496 of 16,539 by trust here, #5,458 by citations
- Artificial Intelligence — 59 citations into it; #12,235 of 35,345 by trust here, #20,836 by citations
- Computer Networks and Communications — 51 citations into it; #2,532 of 9,886 by trust here, #2,761 by citations
- Aerospace Engineering — 46 citations into it; #5,515 of 6,421 by trust here, #4,388 by citations
- Computer Vision and Pattern Recognition — 34 citations into it; #19,246 of 21,575 by trust here, #20,756 by citations
- Ocean Engineering — 25 citations into it; #2,492 of 3,193 by trust here, #1,359 by citations
- Signal Processing — 22 citations into it
- Biomedical Engineering — 12 citations into it
Whom Yuan Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Moe Z. Win
- Georgios B. Giannakis
- Yihong Qi
- William H. Tranter
- Andreas F. Molisch
- Henk Wymeersch
- Hisashi Kobayashi
- Sinan Gezici
- Dragos Stefan Niculescu
- Geoffrey E. Hinton
Who trusts Yuan Shen overall
- Moe Z. Win
- Fan Liu
- Henk Wymeersch
- Ahmed Elzanaty
- An Liu
- Nuria González-Prelcic
- Wenhan Dai
- Weijie Yuan
- Davide Dardari
- Chouchang Yang
Papers from Yuan Shen's perspective
Ordered by how strongly the researchers Yuan Shen 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Fundamental Limits of Wideband Localization— Part I: A General Framework (2010) — 870 citations
- A Survey on Fundamental Limits of Integrated Sensing and Communication (2021) — 1,110 citations
- High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend (2016) — 425 citations
- Fundamental Limits of Wideband Localization— Part II: Cooperative Networks (2010) — 627 citations
- Network localization and navigation via cooperation (2011) — 554 citations
- Deep Learning Stock Volatility with Google Domestic Trends (2015) — 97 citations
- A Theoretical Foundation of Network Localization and Navigation (2018) — 311 citations
- EPicker is an exemplar-based continual learning approach for knowledge accumulation in cryoEM particle picking (2022) — 21 citations
- Autonomous Navigation of UAVs in Large-Scale Complex Environments: A Deep Reinforcement Learning Approach (2019) — 355 citations
- A particle-filter framework for robust cryo-EM 3D reconstruction (2018) — 50 citations