Zheng Gao
Information Systems · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 31 citations into it
- Artificial Intelligence — 27 citations into it
- Natural Language Processing — 20 citations into it; #4,695 of 5,688 by trust here, #5,092 by citations
- Software — 13 citations into it
- Program Analysis & Verification — 12 citations into it; #131 of 301 by trust here, #166 by citations
- Signal Processing — 12 citations into it
- Code Generation & Program Synthesis — 9 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Zheng Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- René Just
- Baishakhi Ray
- Premkumar T. Devanbu
- Darioush Jalali
- Veselin Raychev
- Daryl Posnett
- Marc Brockschmidt
- Sumit Chopra
- Yoshua Bengio
Who trusts Zheng Gao overall
Papers from Zheng Gao's perspective
Ordered by how strongly the researchers Zheng Gao trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- 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)
- Going deeper with convolutions
Their papers
- Typilus: neural type hints (2020) — 150 citations
- To Type or Not to Type: Quantifying Detectable Bugs in JavaScript (2017) — 92 citations