Gang Zhao
Information Systems · with Huang · 2018
A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 17 citations into it; #2,632 of 8,771 by trust here, #7,107 by citations
- Software — 14 citations into it; #358 of 1,227 by trust here, #965 by citations
- Signal Processing — 13 citations into it; #2,695 of 7,572 by trust here, #6,083 by citations
- Natural Language Processing — 8 citations into it
- Artificial Intelligence — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Model Architectures — 5 citations into it
Whom Gang Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Chanchal Kumar Roy
- Huihui Wei
- Jeffrey Svajlenko
- Lingxiao Jiang
- Djork-Arné Clevert
- Pascal Vincent
- Yann LeCun
- Diederik P. Kingma
- Sepp Hochreiter
Who trusts Gang Zhao overall
- Lutz Büch
- Jian Zhang
- Yi Li
- Wenhan Wang
- Artur Andrzejak
- Xu Wang
- Shaohua Wang
- Ge Li
- Hongyu Zhang
- Tien Nhut Nguyen
Papers from Gang Zhao's perspective
Ordered by how strongly the researchers Gang Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- DeepSim: deep learning code functional similarity (2018) — 288 citations