Jiacheng Xu
Artificial Intelligence · with Cheng · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 124 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it; #8,963 of 35,345 by trust here, #21,316 by citations
- Natural Language Processing — 45 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it; #6,592 of 21,575 by trust here, #16,367 by citations
- Generative Models — 15 citations into it; #635 of 1,956 by trust here, #1,651 by citations
- Evaluation & Benchmarks — 6 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Jiacheng Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Sepp Hochreiter
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- J. Urgen Schmidhuber
- Alex Graves
- Ruslan Salakhutdinov
Who trusts Jiacheng Xu overall
- Zachary M. Ziegler
- Tongzhou Wang
- Junxian He
- Tatsunori B. Hashimoto
- Mingda Chen
- Emile Mathieu
- Sajad Sotudeh Gharebagh
- Alexander M. Rush
- Phillip Isola
- Yinya Huang
Papers from Jiacheng Xu's perspective
Ordered by how strongly the researchers Jiacheng Xu 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
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- Spherical Latent Spaces for Stable Variational Autoencoders (2018) — 224 citations
- Discourse-Aware Neural Extractive Text Summarization (2019) — 302 citations