Zhongxia Chen
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 68 citations into it
- Information Systems — 57 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Recommender Systems — 25 citations into it
- Natural Language Processing — 18 citations into it
- Management Science and Operations Research — 14 citations into it
- Information Retrieval & Search — 6 citations into it
- Marketing — 6 citations into it
Whom Zhongxia Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yehuda Koren
- Chin-Yew Lin
- Annie Lang
- Yoshua Bengio
- Geoffrey E. Hinton
- Jimmy Ba
- Xiangnan He
- Ilya Sutskever
- Julian McAuley
Who trusts Zhongxia Chen overall
Papers from Zhongxia Chen's perspective
Ordered by how strongly the researchers Zhongxia Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Personalized Reason Generation for Explainable Song Recommendation (2019) — 53 citations
- Co-Attentive Multi-Task Learning for Explainable Recommendation (2019) — 148 citations
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems (2018) — 1,240 citations