Tingting He

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #22,807 of 35,345 by trust here, #22,463 by citations
• Representation & Self-Supervised Learning — 17 citations into it
• Natural Language Processing — 15 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Information Systems — 7 citations into it; #5,688 of 8,771 by trust here, #6,195 by citations
• Information Retrieval & Search — 5 citations into it; #733 of 1,022 by trust here, #821 by citations

Whom Tingting He trusts overall

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

1. Yoshua Bengio
2. Chengxiang Zhai
3. John D. Lafferty
4. Tomas Mikolov
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Jiwoon Jeon
8. Alex Krizhevsky
9. Florent Perronnin
10. Pascal Vincent

Who trusts Tingting He overall

1. Hamed Zamani
2. Tao Lei
3. W. Bruce Croft
4. Gonenc Ercan

Papers from Tingting He's perspective

Ordered by how strongly the researchers Tingting He 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Bi-Transferring Deep Neural Networks for Domain Adaptation (2016) — 48 citations
• Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering (2015) — 181 citations