Yunfei Chen
Computer Networks and Communications · 2013–2023
A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 50 citations into it; #9,273 of 9,886 by trust here, #2,761 by citations
- Aerospace Engineering — 43 citations into it; #5,937 of 6,421 by trust here, #2,580 by citations
- Electrical and Electronic Engineering — 39 citations into it
- Artificial Intelligence — 17 citations into it
- Computational Mechanics — 10 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Federated & Distributed Learning — 7 citations into it
- Optimization & Training — 7 citations into it
Whom Yunfei Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David W. Matolak
- Yong Zeng
- Mohammad Mozaffari
- Boris Polyak
- Ning Qian
- Akram Al-Hourani
- Yann LeCun
- H. Brendan McMahan
- Alex Krizhevsky
- Rui Zhang
Who trusts Yunfei Chen overall
- Changsheng You
- Anthony Ngozichukwuka Uwaechia
- Chaouki Ben Issaid
- Omar Abdel Wahab
- Dinh C. Nguyen
- Rui Zhang
Papers from Yunfei Chen's perspective
Ordered by how strongly the researchers Yunfei Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells (2018) — 308 citations
- On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds (2023) — 2,146 citations
- Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges (2019) — 333 citations
- UAV-Assisted Emergency Networks in Disasters (2019) — 662 citations
- Accelerating Federated Learning via Momentum Gradient Descent (2019) — 346 citations
- A Survey of Channel Modeling for UAV Communications (2018) — 799 citations
- Wideband spectrum sensing for cognitive radio networks: a survey (2013) — 596 citations