Jing Lu

Artificial Intelligence · with Hoi · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 100 citations into it; #28,488 of 35,345 by trust here, #14,718 by citations
• Management Science and Operations Research — 43 citations into it; #9,451 of 11,946 by trust here, #2,873 by citations
• Optimization & Training — 36 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Computer Networks and Communications — 21 citations into it
• Reinforcement Learning — 21 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Signal Processing — 16 citations into it

Whom Jing Lu trusts overall

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

1. Shai Shalev-Shwartz
2. Nicolò Cesa-Bianchi
3. Yoav Freund
4. Peter Auer
5. L. Eon Bottou
6. Geoffrey E. Hinton
7. Robert E. Schapire
8. Yoshua Bengio
9. Elad Hazan
10. Martin A. Zinkevich

Who trusts Jing Lu overall

1. Shibhansh Dohare

Papers from Jing Lu's perspective

Ordered by how strongly the researchers Jing Lu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Online Deep Learning: Learning Deep Neural Networks on the Fly (2017) — 363 citations
• Online Learning: A Comprehensive Survey (2018) — 832 citations