Congrui Huang

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Congrui Huang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ilya Sutskever
5. Alban Siffer

Papers from Congrui Huang's perspective

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

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

Their papers

• 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
• Time-Series Anomaly Detection Service at Microsoft (2019) — 651 citations