Ling Zhao
Artificial Intelligence · with Li · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Building and Construction — 19 citations into it
- Transportation — 15 citations into it
- Model Architectures — 11 citations into it
- Natural Language Processing — 7 citations into it
- Signal Processing — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Ling Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Kyunghyun Cho
- Sepp Hochreiter
- Grzegorz Dudek
- Geoffrey E. Hinton
- Alex Smola
- J. Urgen Schmidhuber
- Yann LeCun
- Shiliang Sun
- Dzmitry Bahdanau
Who trusts Ling Zhao overall
- Weiwei Jiang
- Chao Shang
- Saeed Rahmani
- Zheng Fang
- Jiawei Zhu
- Shiyong Lan
- Guangyin Jin
- Jiayun Luo
- Xiaoyang Wang
Papers from Ling Zhao's perspective
Ordered by how strongly the researchers Ling 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting (2020) — 370 citations
- T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2018) — 2,914 citations