Congyin Xia
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 148 citations into it
- Natural Language Processing — 93 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
- Information Systems — 26 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Graph Learning — 13 citations into it
- Molecular Biology — 11 citations into it
Whom Congyin Xia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Richard Socher
- Diederik P. Kingma
- Bernardo Magnini
- Alex Krizhevsky
- Kaiming He
- Thorsten Joachims
- Ilya Sutskever
- Tomas Mikolov
Who trusts Congyin Xia overall
Papers from Congyin Xia's perspective
Ordered by how strongly the researchers Congyin Xia 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- User Preference-aware Fake News Detection (2021) — 345 citations
- Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System (2021) — 54 citations
- A Survey on Text Classification: From Traditional to Deep Learning (2020) — 549 citations