Xing Hu
Artificial Intelligence · with Jin · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #12,961 of 35,345 by trust here, #12,580 by citations
- Information Systems — 41 citations into it; #2,228 of 8,771 by trust here, #1,933 by citations
- Natural Language Processing — 39 citations into it; #3,849 of 5,688 by trust here, #3,369 by citations
- Code Generation & Program Synthesis — 21 citations into it; #66 of 220 by trust here, #58 by citations
- Software — 20 citations into it
- Signal Processing — 14 citations into it; #4,777 of 7,572 by trust here, #2,664 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Model Architectures — 8 citations into it
Whom Xing Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- Ilya Sutskever
- Oriol Vinyals
- Sonia Haiduc
- Yoshua Bengio
- Quoc V. Le
- Dzmitry Bahdanau
- Geoffrey E. Hinton
- Jairo Aponte
- Kyunghyun Cho
Who trusts Xing Hu overall
- Alexander LeClair
- Wasi Uddin Ahmad
- Ziyu Yao
- Saikat Chakraborty
- Wenhua Wang
- Ge Li
- Jian Zhang
- Toufique Ahmed
- Bolin Wei
- Yanlin Wang
Papers from Xing Hu's perspective
Ordered by how strongly the researchers Xing Hu 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Deep Code Comment Generation (2018) — 791 citations
- Summarizing Source Code with Transferred API Knowledge (2018) — 339 citations
- CodeSum: Translate Program Language to Natural Language (2017) — 14 citations