Ping Wang
Electrical and Electronic Engineering · IEEE Communications Surveys and Tutorials · 2011–2019
A researcher in the Science corpus: 11 papers; trusts 39 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 202 citations into it; #2,863 of 16,539 by trust here, #3,822 by citations
- Computer Networks and Communications — 145 citations into it; #3,390 of 9,886 by trust here, #540 by citations
- Artificial Intelligence — 85 citations into it
- Information Systems — 78 citations into it; #2,970 of 8,771 by trust here, #1,740 by citations
- Aerospace Engineering — 37 citations into it
- Media Technology — 26 citations into it
- Reinforcement Learning — 26 citations into it
- Management Science and Operations Research — 21 citations into it
Whom Ping Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rui Zhang
- Liang Liu
- Hyungsik Ju
- Kaibin Huang
- Chin Keong Ho
- Dimitri P. Bertsekas
- Arnaud Fréville
- M. Serna
- Hubregt J. Visser
- Richard S. Sutton
Who trusts Ping Wang overall
- Changsheng You
- Minghui Min
- Yuyi Mao
- Stefania Sardellitti
- Ekram Hossain
- Feng Wang
- Xiao Lu
- T. D. Ponnimbaduge Perera
- Yong Zeng
- Yanting Wang
Papers from Ping Wang's perspective
Ordered by how strongly the researchers Ping Wang 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)
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Asynchronous Methods for Deep Reinforcement Learning
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014) — 2,435 citations
- Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (2018) — 1,781 citations
- A Dynamic Offloading Algorithm for Mobile Computing (2012) — 500 citations
- Ambient Backscatter Communications: A Contemporary Survey (2017) — 838 citations
- Wireless Charging Technologies: Fundamentals, Standards, and Network Applications (2015) — 946 citations
- Machine-to-machine communications for home energy management system in smart grid (2011) — 422 citations
- Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey (2016) — 297 citations
- Incentivizing Consensus Propagation in Proof-of-Stake Based Consortium Blockchain Networks (2019) — 88 citations
- A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks (2018) — 840 citations
- When Mobile Blockchain Meets Edge Computing (2017) — 481 citations
- A survey of mobile cloud computing: architecture, applications, and approaches (2013) — 2,534 citations