Chongwen Huang
Electrical and Electronic Engineering · 2016–2023
A researcher in the Science corpus: 11 papers; trusts 60 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 247 citations into it; #1,662 of 16,539 by trust here, #3,664 by citations
- Aerospace Engineering — 158 citations into it; #1,125 of 6,421 by trust here, #773 by citations
- Computer Networks and Communications — 43 citations into it
- Artificial Intelligence — 17 citations into it
- Signal Processing — 15 citations into it
- Ocean Engineering — 12 citations into it
- Genetics — 11 citations into it
- Biomedical Engineering — 10 citations into it
Whom Chongwen Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Qingqing Wu
- Rui Zhang
- Sha Hu
- Ahmed Alkhateeb
- Ertugrul Basar
- Alessio Zappone
- Fredrik Rusek
- Emil Björnson
- Robert Tibshirani
- Stephan ten Brink
Who trusts Chongwen Huang overall
- Yuanwei Liu
- Xidong Mu
- Emil Björnson
- M. Di Renzo
- Qingqing Wu
- Li Wei
- Rui Zhang
- Cunhua Pan
- George C. Alexandropoulos
- Chau Yuen
Papers from Chongwen Huang's perspective
Ordered by how strongly the researchers Chongwen Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends (2019) — 1,237 citations
- Energy Efficient Multi-User MISO Communication Using Low Resolution Large Intelligent Surfaces (2018) — 309 citations
- Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning (2020) — 677 citations
- Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications (2020) — 620 citations
- Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions (2022) — 335 citations
- Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques (2022) — 354 citations
- Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems (2019) — 71 citations
- Stacked Intelligent Metasurfaces for Efficient Holographic MIMO Communications in 6G (2023) — 374 citations
- Multi-Hop RIS-Empowered Terahertz Communications: A DRL-Based Hybrid Beamforming Design (2021) — 401 citations
- Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication (2018) — 2,870 citations
- Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems (2016) — 159 citations