Lihong Wang

Artificial Intelligence · with Guo · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 74 citations into it; #26,227 of 35,345 by trust here, #16,166 by citations
• Natural Language Processing — 33 citations into it
• Representation & Self-Supervised Learning — 30 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Graph Learning — 23 citations into it
• Signal Processing — 8 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Lihong Wang trusts overall

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

1. Antoine Bordes
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jason Aaron Edward Weston
5. Mikhail Belkin
6. Ilya Sutskever
7. Alex Krizhevsky
8. Sam T. Roweis
9. Richard Socher
10. Maximilian Nickel

Who trusts Lihong Wang overall

1. Han Xiao

Papers from Lihong Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
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. 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting (2020) — 315 citations
• Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN (2018) — 436 citations
• SSE: Semantically Smooth Embedding for Knowledge Graphs (2017) — 48 citations
• Semantically Smooth Knowledge Graph Embedding (2015) — 152 citations