Ying Sun

Electrical and Electronic Engineering · with Fung · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 21 citations into it
• Building and Construction — 14 citations into it
• Artificial Intelligence — 8 citations into it

Whom Ying Sun trusts overall

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

1. Cort J. Willmott
2. Geoffrey Kwok Fai Tso
3. Victoria J. Hodge
4. Bernhard Schölkopf
5. Luis M. Ibarra Candanedo
6. Igor V. Tetko
7. Yoshua Bengio
8. Aleksandra Dedinec
9. Mathieu Bourdeau
10. Alex Krizhevsky

Papers from Ying Sun's perspective

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

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

Their papers

• A review of the-state-of-the-art in data-driven approaches for building energy prediction (2020) — 459 citations