Haixia Zhang

Electrical and Electronic Engineering · with Zhang · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 11 citations into it; #16,191 of 16,539 by trust here, #12,727 by citations
• Computer Networks and Communications — 8 citations into it

Whom Haixia Zhang trusts overall

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

1. Nicholas I. Sapankevych
2. T. Marzetta
3. Yoshua Bengio

Who trusts Haixia Zhang overall

1. Erik G. Larsson

Papers from Haixia Zhang's perspective

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

1. Learning Deep Architectures for AI
2. Densely Connected Convolutional Networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Uplink Achievable Rate for Massive MIMO Systems With Low-Resolution ADC (2015) — 342 citations
• Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data (2019) — 316 citations