Honggang Zhang
Computer Networks and Communications · IEEE Communications Magazine · 2007–2018
A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 31 citations into it
- Electrical and Electronic Engineering — 20 citations into it
- Reinforcement Learning — 11 citations into it
Whom Honggang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Longxin Lin
- Yuyi Mao
- Kaiming He
- Lichun Bao
- Andrew Barto
- Yann LeCun
- Hado van Hasselt
- Geoffrey E. Hinton
- Koray Kavukcuoglu
Who trusts Honggang Zhang overall
Papers from Honggang Zhang's perspective
Ordered by how strongly the researchers Honggang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- Human-level control through deep reinforcement learning
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning (2018) — 524 citations
- Intelligent 5G: When Cellular Networks Meet Artificial Intelligence (2017) — 535 citations
- CogMesh: A Cluster-Based Cognitive Radio Network (2007) — 317 citations
- Deep Learning with Long Short-Term Memory for Time Series Prediction (2018) — 554 citations
- Deep Reinforcement Learning for Resource Management in Network Slicing (2018) — 324 citations