Jia Jia
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #22,652 of 35,345 by trust here, #13,544 by citations
- Natural Language Processing — 14 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Jia Jia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George A. Miller
- Steven Bird
- Diederik P. Kingma
- Serge J. Belongie
- Jana Machajdik
- Zhen Wang
- Geoffrey E. Hinton
- Tomas Mikolov
- Yoshua Bengio
- Sergey Ioffe
Who trusts Jia Jia overall
Papers from Jia Jia's perspective
Ordered by how strongly the researchers Jia Jia trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Speech Super-Resolution Using Parallel WaveNet (2018) — 21 citations
- Representation Learning of Knowledge Graphs with Entity Descriptions (2016) — 758 citations
- Towards Multi-Scale Style Control for Expressive Speech Synthesis (2021) — 52 citations
- Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution (2017) — 386 citations
- Interpretable aesthetic features for affective image classification (2013) — 96 citations