Zhao Zhen

Energy Conversion and Management · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Zhao Zhen trusts overall

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

1. David G. Lowe

Papers from Zhao Zhen's perspective

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

1. Object recognition from local scale-invariant features
2. Learning Optical Flow (European Conference on Computer Vision)
3. Digital Image Processing, Third Edition
4. Cloud-tracking methodology for intra-hour DNI forecasting
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework (2020) — 564 citations
• Image phase shift invariance based cloud motion displacement vector calculation method for ultra-short-term solar PV power forecasting (2018) — 148 citations