Huiqiang Xie

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 190 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #9,938 of 35,345 by trust here, #18,186 by citations
• Computer Vision and Pattern Recognition — 39 citations into it
• Natural Language Processing — 19 citations into it
• Model Architectures — 12 citations into it
• Signal Processing — 10 citations into it
• Aerospace Engineering — 9 citations into it
• Computer Networks and Communications — 9 citations into it
• Electrical and Electronic Engineering — 8 citations into it; #3,215 of 16,539 by trust here, #12,727 by citations

Whom Huiqiang Xie trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Philipp Koehn
2. Yoshua Bengio
3. Diederik P. Kingma
4. Zhijin Qin
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yann LeCun
8. Sepp Hochreiter
9. Kaiming He
10. Alex Graves

Who trusts Huiqiang Xie overall

1. Zhijin Qin
2. Khaled Ben Letaief
3. Zhenzi Weng
4. Xiaoming Tao
5. Jianhua Lu
6. Geoffrey Y. Li
7. Yuanming Shi
8. Wanting Yang
9. Jianmin Lu
10. Zhaohui Yang

Papers from Huiqiang Xie's perspective

Ordered by how strongly the researchers Huiqiang Xie trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Lite Distributed Semantic Communication System for Internet of Things (2020) — 486 citations
• Deep Learning Enabled Semantic Communication Systems (2020) — 1,598 citations
• Task-Oriented Multi-User Semantic Communications (2021) — 440 citations