Shiwen Mao
Computer Networks and Communications · 2003–2020
A researcher in the Science corpus: 10 papers; trusts 84 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 110 citations into it
- Electrical and Electronic Engineering — 105 citations into it; #2,506 of 16,539 by trust here, #4,846 by citations
- Artificial Intelligence — 56 citations into it; #28,263 of 35,345 by trust here, #15,236 by citations
- Computer Vision and Pattern Recognition — 37 citations into it
- Information Systems — 28 citations into it; #6,582 of 8,771 by trust here, #2,406 by citations
- Ocean Engineering — 28 citations into it; #474 of 3,193 by trust here, #736 by citations
- Signal Processing — 28 citations into it; #2,151 of 7,572 by trust here, #2,816 by citations
- ML Systems & Hardware — 13 citations into it
Whom Shiwen Mao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Moustafa Youssef
- David B. Johnson
- Alex Krizhevsky
- Yoshua Bengio
- Souvik Sen
- Xuyu Wang
- Mauro Brunato
- Zheng Yang
- Jie Xiong
Who trusts Shiwen Mao overall
- Xuyu Wang
- Chaoyun Zhang
- Yaohua Sun
- Eric Setton
- M. Mohammadi
- Reihaneh H. Hariri
- Paul Patras
- Pavel Davidson
- Mugen Peng
Papers from Shiwen Mao's perspective
Ordered by how strongly the researchers Shiwen Mao 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues (2018) — 528 citations
- Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning (2018) — 524 citations
- CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach (2016) — 992 citations
- Video transport over ad hoc networks: multistream coding with multipath transport (2003) — 300 citations
- DeepFi: Deep learning for indoor fingerprinting using channel state information (2015) — 373 citations
- CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach (2016) — 389 citations
- Multiobjective Optimization for Computation Offloading in Fog Computing (2018) — 430 citations
- PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices (2017) — 352 citations
- Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer (2020) — 315 citations
- Big Data: A Survey (2014) — 1,850 citations