Jinghui Cheng
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Natural Language Processing — 13 citations into it
- Information Systems — 10 citations into it; #4,599 of 8,771 by trust here, #6,501 by citations
- Model Architectures — 9 citations into it
- Software — 8 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Signal Processing — 5 citations into it
Whom Jinghui Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Tomas Mikolov
- Richard Socher
- Kyunghyun Cho
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Ilya Sutskever
- J. Urgen Schmidhuber
- Yann LeCun
- Diederik P. Kingma
Who trusts Jinghui Cheng overall
Papers from Jinghui Cheng's perspective
Ordered by how strongly the researchers Jinghui Cheng 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Semantically Enhanced Software Traceability Using Deep Learning Techniques (2017) — 287 citations