Ting He

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #34,499 of 35,345 by trust here, #7,858 by citations
• Optimization & Training — 22 citations into it
• Computational Mechanics — 10 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Ting He trusts overall

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

1. L. Eon Bottou
2. Shai Shalev-Shwartz
3. Alex Krizhevsky

Who trusts Ting He overall

1. Umair Mohammad

Papers from Ting He's perspective

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

1. Gradient-based learning applied to document recognition
2. Learning Multiple Layers of Features from Tiny Images
3. Deep Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Distributed delayed stochastic optimization
7. I and J
8. Large-Scale Machine Learning with Stochastic Gradient Descent
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Adaptive Federated Learning in Resource Constrained Edge Computing Systems (2018) — 2,085 citations
• When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning (2018) — 487 citations
• Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs (2015) — 258 citations