Dong In Kim
Electrical and Electronic Engineering · 2012–2019
A researcher in the Science corpus: 15 papers; trusts 94 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 332 citations into it; #8,547 of 16,539 by trust here, #3,551 by citations
- Computer Networks and Communications — 170 citations into it; #8,196 of 9,886 by trust here, #1,322 by citations
- Artificial Intelligence — 99 citations into it; #23,860 of 35,345 by trust here, #15,866 by citations
- Aerospace Engineering — 98 citations into it
- Information Systems — 79 citations into it; #5,702 of 8,771 by trust here, #3,876 by citations
- Computational Mechanics — 49 citations into it
- Biomedical Engineering — 40 citations into it
- Signal Processing — 37 citations into it
Whom Dong In Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rui Zhang
- Qingqing Wu
- Joel A. Tropp
- E.J. Candes
- Liang Liu
- Kaibin Huang
- Chin Keong Ho
- Hyungsik Ju
- David L. Donoho
- Hado van Hasselt
Who trusts Dong In Kim overall
Papers from Dong In Kim's perspective
Ordered by how strongly the researchers Dong In Kim 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
- Reinforcement Learning: An Introduction
- Human-level control through deep reinforcement learning
- Information Theory: 1948-1998 - Guest Editorial
- Asynchronous Methods for Deep Reinforcement Learning
- Long Short-Term Memory
- 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
- Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach (2019) — 249 citations
- Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018) — 674 citations
- Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (2019) — 908 citations
- Ambient Backscatter Communications: A Contemporary Survey (2017) — 838 citations
- Wireless Charging Technologies: Fundamentals, Standards, and Network Applications (2015) — 946 citations
- Resource allocation for device-to-device communications underlaying LTE-advanced networks (2013) — 415 citations
- Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey (2016) — 297 citations
- Interference management in OFDMA femtocell networks: issues and approaches (2012) — 424 citations
- Compressed Sensing for Wireless Communications: Useful Tips and Tricks (2015) — 335 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
- Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory (2018) — 523 citations
- Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach (2018) — 82 citations