Zhili Feng
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #25,660 of 35,345 by trust here, #20,377 by citations
- Natural Language Processing — 21 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Zhili Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dan Roth
- Alex Krizhevsky
- Thomas G. Dietterich
- Marc Verhagen
- Yoav Freund
- Geoffrey E. Hinton
- Ilya Sutskever
- Nathanael Chambers
- Nasrin Mostafazadeh
- Christian Szegedy
Who trusts Zhili Feng overall
Papers from Zhili Feng's perspective
Ordered by how strongly the researchers Zhili Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Does Data Augmentation Lead to Positive Margin? (2019) — 38 citations
- CogCompNLP: Your Swiss Army Knife for NLP (2018) — 29 citations
- Joint Reasoning for Temporal and Causal Relations (2018) — 173 citations