Yuanming Shi
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 7 papers; trusts 191 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 213 citations into it; #26,705 of 35,345 by trust here, #19,439 by citations
- Electrical and Electronic Engineering — 119 citations into it; #1,616 of 16,539 by trust here, #5,101 by citations
- Computer Networks and Communications — 114 citations into it
- Optimization & Training — 77 citations into it
- Computer Vision and Pattern Recognition — 73 citations into it
- Computational Mechanics — 55 citations into it; #3,193 of 10,001 by trust here, #3,029 by citations
- Efficiency & Compression — 45 citations into it
- Federated & Distributed Learning — 41 citations into it
Whom Yuanming Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Yurii E. Nesterov
- E.J. Candes
- Kaiming He
- Ilya Sutskever
- Yuchen Zhang
Who trusts Yuanming Shi overall
- Khaled Ben Letaief
- Mugen Peng
- Zhaohui Yang
- Meixia Tao
- Yifei Shen
- Jianmin Lu
- Wei Xu
- Zhiyuan Xu
- Howard H. Yang
- Jianhua Lu
Papers from Yuanming Shi's perspective
Ordered by how strongly the researchers Yuanming Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Federated Learning via Over-the-Air Computation (2018) — 1,082 citations
- Group Sparse Beamforming for Green Cloud-RAN (2013) — 482 citations
- Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications (2021) — 605 citations
- Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis (2020) — 393 citations
- Communication-Efficient Edge AI: Algorithms and Systems (2020) — 441 citations
- A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression (2019) — 101 citations
- The Roadmap to 6G - AI Empowered Wireless Networks (2019) — 1,666 citations