Kezhi Wang
Electrical and Electronic Engineering · 2019–2021
A researcher in the Science corpus: 7 papers; trusts 42 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 104 citations into it; #4,704 of 16,539 by trust here, #5,101 by citations
- Aerospace Engineering — 81 citations into it; #2,972 of 6,421 by trust here, #1,451 by citations
- Computer Networks and Communications — 41 citations into it; #8,610 of 9,886 by trust here, #7,492 by citations
- Numerical Analysis — 10 citations into it
- Reinforcement Learning — 10 citations into it
- Artificial Intelligence — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Computational Mechanics — 6 citations into it
Whom Kezhi Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rui Zhang
- Qingqing Wu
- Yong Zeng
- Xianghao Yu
- Dimitri P. Bertsekas
- Cunhua Pan
- Diederik P. Kingma
- Michael L. Littman
- Yuxi Li
- Ying Sun
Who trusts Kezhi Wang overall
- Cunhua Pan
- Gui Zhou
- Rui Zhang
- Qingqing Wu
- Shuowen Zhang
- M. Di Renzo
- Shimin Gong
- Shanpu Shen
- Hai-xia Peng
Papers from Kezhi Wang's perspective
Ordered by how strongly the researchers Kezhi Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Deep Learning
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces (2019) — 1,056 citations
- Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2019) — 513 citations
- A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels (2020) — 527 citations
- Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks (2019) — 324 citations
- Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions (2021) — 663 citations
- Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing (2020) — 402 citations
- Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems (2019) — 301 citations