Yujing Wang

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 7 papers; trusts 174 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 111 citations into it
• Computer Vision and Pattern Recognition — 78 citations into it
• Efficiency & Compression — 26 citations into it
• Model Architectures — 23 citations into it
• Multimodal Learning — 16 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Optimization & Training — 10 citations into it

Whom Yujing Wang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Yann LeCun
8. Ross B. Girshick
9. Oriol Vinyals
10. Karen Simonyan

Who trusts Yujing Wang overall

1. Yuqi Nie
2. Gerald Woo
3. Sebastian Schmidl
4. Zekai Chen
5. Nam H. Nguyen
6. Yunhao Zhang
7. Zhihan Yue
8. Ziyuan Zhao

Papers from Yujing Wang's perspective

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

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

Their papers

• Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering (2020) — 160 citations
• LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression (2020) — 81 citations
• TS2Vec: Towards Universal Representation of Time Series (2021) — 1,033 citations
• Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting (2020) — 788 citations
• Multivariate Time-series Anomaly Detection via Graph Attention Network (2020) — 722 citations
• Deeper Insights into Weight Sharing in Neural Architecture Search (2020) — 55 citations
• Time-Series Anomaly Detection Service at Microsoft (2019) — 651 citations