Jian Wang
Artificial Intelligence · with Yang · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #32,073 of 35,345 by trust here, #27,551 by citations
- Molecular Biology — 11 citations into it; #14,727 of 17,773 by trust here, #14,509 by citations
- Optimization & Training — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Jian Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Matthew D. Zeiler
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Tomas Mikolov
- Ruslan Salakhutdinov
- Nitish Srivastava
- Hugo Larochelle
Who trusts Jian Wang overall
Papers from Jian Wang's perspective
Ordered by how strongly the researchers Jian Wang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Dropout: a simple way to prevent neural networks from overfitting
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Drug drug interaction extraction from biomedical literature using syntax convolutional neural network (2016) — 192 citations
- DUTIR in BioNLP-ST 2016: Utilizing Convolutional Network and Distributed Representation to Extract Complicate Relations (2016) — 12 citations
- An attention‐based BiLSTM‐CRF approach to document‐level chemical named entity recognition (2018) — 386 citations