Zhijin Qin
Electrical and Electronic Engineering · 2014–2022
A researcher in the Science corpus: 13 papers; trusts 365 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 196 citations into it; #3,019 of 16,539 by trust here, #5,738 by citations
- Artificial Intelligence — 140 citations into it; #7,825 of 35,345 by trust here, #10,667 by citations
- Computer Vision and Pattern Recognition — 122 citations into it
- Computer Networks and Communications — 118 citations into it; #8,897 of 9,886 by trust here, #2,613 by citations
- Signal Processing — 45 citations into it; #4,282 of 7,572 by trust here, #2,990 by citations
- Aerospace Engineering — 38 citations into it; #3,878 of 6,421 by trust here, #2,656 by citations
- Natural Language Processing — 34 citations into it
- Efficiency & Compression — 31 citations into it
Whom Zhijin Qin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Huiqiang Xie
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Yann LeCun
- Zhiguo Ding
- Ian J. Goodfellow
- Alex Graves
Who trusts Zhijin Qin overall
- Huiqiang Xie
- Geoffrey Y. Li
- Ala Al-Fuqaha
- Zhenzi Weng
- Xiaoming Tao
- Khaled Ben Letaief
- Abhishek Khanna
- Wanting Yang
- Yuanwei Liu
- Alessio Zappone
Papers from Zhijin Qin's perspective
Ordered by how strongly the researchers Zhijin Qin 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Nonorthogonal Multiple Access for 5G and Beyond (2017) — 1,011 citations
- Modulation and Multiple Access for 5G Networks (2017) — 445 citations
- Joint Offloading and Trajectory Design for UAV-Enabled Mobile Edge Computing Systems (2019) — 326 citations
- A Lite Distributed Semantic Communication System for Internet of Things (2020) — 486 citations
- Enhancing the Physical Layer Security of Non-Orthogonal Multiple Access in Large-Scale Networks (2016) — 553 citations
- Deep Learning Enabled Semantic Communication Systems (2020) — 1,598 citations
- Resource Allocation for Text Semantic Communications (2022) — 307 citations
- Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications (2022) — 841 citations
- Semantic Communications: Principles and Challenges (2021) — 485 citations
- Semantic Communication Systems for Speech Transmission (2021) — 668 citations
- Task-Oriented Multi-User Semantic Communications (2021) — 440 citations
- Deep Learning in Physical Layer Communications (2018) — 641 citations
- A Software Defined Networking architecture for the Internet-of-Things (2014) — 376 citations