Lingbing Guo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Graph Learning — 13 citations into it
• Management Science and Operations Research — 12 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Knowledge Graphs & Representation — 5 citations into it

Whom Lingbing Guo trusts overall

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

1. Tomas Mikolov
2. Jure Leskovec
3. Geoffrey E. Hinton
4. Zequn Sun
5. Yoshua Bengio
6. Hanjun Dai
7. Diederik P. Kingma
8. Yankai Lin
9. Kaiming He
10. Antoine Bordes

Who trusts Lingbing Guo overall

1. Zhanqiu Zhang
2. Andrea Rossi
3. Jing Zhang
4. Zequn Sun
5. Jianyu Cai
6. Donatella Firmani
7. Bo Chen
8. Chengming Wang

Papers from Lingbing Guo's perspective

Ordered by how strongly the researchers Lingbing Guo 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs (2019) — 308 citations