Xiaotian Jiang
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Graph Learning — 9 citations into it
- Natural Language Processing — 9 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Xiaotian Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
- Christian Szegedy
- Yoshua Bengio
- Nitish Srivastava
- Sergey Ioffe
- Zhi-Hua Zhou
- Tomas Mikolov
Who trusts Xiaotian Jiang overall
- Yi Wu
- Shikhar Vashishth
- Jing Zhang
- Shaoxiong Ji
- Lingfeng Zhong
- Andrea Rossi
- K. Liang
- David Bamman
- Soumya Sanyal
- Shirui Pan
Papers from Xiaotian Jiang's perspective
Ordered by how strongly the researchers Xiaotian Jiang 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Adaptive Convolution for Multi-Relational Learning (2019) — 167 citations
- Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks (2016) — 123 citations