Min Chen
Computer Networks and Communications · Mob. Networks Appl. · 2010–2020
A researcher in the Science corpus: 17 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 159 citations into it
- Artificial Intelligence — 81 citations into it; #28,252 of 35,345 by trust here, #7,172 by citations
- Electrical and Electronic Engineering — 60 citations into it
- Information Systems — 59 citations into it; #6,575 of 8,771 by trust here, #2,667 by citations
- Computer Vision and Pattern Recognition — 53 citations into it
- ML Systems & Hardware — 14 citations into it
- Information Systems and Management — 13 citations into it
- Management Science and Operations Research — 13 citations into it
Whom Min Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Duncan J. Watts
- Yann LeCun
- Brett D. Fleisch
- Jorge E. Hirsch
- R. Cattell
- Alex Krizhevsky
- Yong Xiao
- Pascal Vincent
Who trusts Min Chen overall
- Yujie Li
- Reihaneh H. Hariri
- Jin Wang
- Grant Haskins
- Qiong Wu
- Yabo Fu
- Yu Li
- Yin Zhang
- Ahmed M. Shahat Osman
- Xiaofei Wang
Papers from Min Chen's perspective
Ordered by how strongly the researchers Min Chen 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
- Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures (2016) — 857 citations
- Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce (2018) — 132 citations
- A Survey of Green Mobile Networks: Opportunities and Challenges (2011) — 377 citations
- Narrow Band Internet of Things (2017) — 394 citations
- Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network (2018) — 852 citations
- Body Area Networks: A Survey (2010) — 741 citations
- Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems (2017) — 335 citations
- The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus (2020) — 1,699 citations
- Smart Anomaly Detection in Sensor Systems (2020) — 313 citations
- Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study (2020) — 1,327 citations
- In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning (2018) — 892 citations
- Disease Prediction by Machine Learning Over Big Data From Healthcare Communities (2017) — 1,037 citations
- Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network (2017) — 410 citations
- Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring (2016) — 408 citations
- A Survey on Internet of Things From Industrial Market Perspective (2015) — 621 citations
- Cache in the air: exploiting content caching and delivery techniques for 5G systems (2014) — 1,045 citations
- Big Data: A Survey (2014) — 1,850 citations