Xianfeng Tang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #33,055 of 35,345 by trust here, #25,809 by citations
• Graph Learning — 19 citations into it
• Building and Construction — 17 citations into it
• Signal Processing — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Xianfeng Tang trusts overall

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

1. Sepp Hochreiter
2. Alex Graves
3. Jiangchuan Zheng
4. Daniel Zügner
5. J. Urgen Schmidhuber
6. Rose Yu
7. Geoffrey E. Hinton
8. Luís Moreira-Matias
9. Diederik P. Kingma
10. Thang Luong

Who trusts Xianfeng Tang overall

1. Saeed Rahmani
2. Fuxian Li

Papers from Xianfeng Tang's perspective

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

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

Their papers

• Graph Structure Learning for Robust Graph Neural Networks (2020) — 921 citations
• Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018) — 1,258 citations
• Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2018) — 833 citations