Xiucheng Li

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Model Architectures — 18 citations into it
• Natural Language Processing — 16 citations into it
• Building and Construction — 15 citations into it
• Signal Processing — 12 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Graph Learning — 7 citations into it

Whom Xiucheng Li trusts overall

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

1. Alex Graves
2. Yoshua Bengio
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Tomas Mikolov
7. Sepp Hochreiter
8. Oriol Vinyals
9. Kyunghyun Cho
10. Paul J. Werbos

Who trusts Xiucheng Li overall

1. Sheng Wang
2. Zhifeng Bao

Papers from Xiucheng Li's perspective

Ordered by how strongly the researchers Xiucheng Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting (2021) — 718 citations
• Deep Representation Learning for Trajectory Similarity Computation (2018) — 302 citations