Alvin Cheung
Natural Language Processing · 2013–2021
A researcher in the Science corpus: 8 papers; trusts 124 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 92 citations into it; #1,316 of 5,688 by trust here, #1,161 by citations
- Artificial Intelligence — 90 citations into it; #5,705 of 35,345 by trust here, #4,526 by citations
- Information Systems — 40 citations into it; #1,102 of 8,771 by trust here, #786 by citations
- Computer Networks and Communications — 39 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Model Architectures — 13 citations into it
- Software — 11 citations into it
- Code Generation & Program Synthesis — 10 citations into it
Whom Alvin Cheung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Armando Solar-Lezama
- Alex Krizhevsky
- Jimmy Ba
- Li Dong
- Sepp Hochreiter
- Oriol Vinyals
Who trusts Alvin Cheung overall
- Zhuang Li
- Uri Alon
- Zhongjun (Mark) Jin
- Shumo Chu
- Daya Guo
- Xi Victoria Lin
- Tao Yu
- Chenglong Wang
- Ziyu Yao
- Wasi Uddin Ahmad
Papers from Alvin Cheung's perspective
Ordered by how strongly the researchers Alvin Cheung trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Learning a Neural Semantic Parser from User Feedback (2017) — 377 citations
- Summarizing Source Code using a Neural Attention Model (2016) — 787 citations
- PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context (2021) — 25 citations
- Learning Programmatic Idioms for Scalable Semantic Parsing (2019) — 48 citations
- Optimizing database-backed applications with query synthesis (2013) — 172 citations
- Mapping Language to Code in Programmatic Context (2018) — 181 citations
- Cosette: An Automated Prover for SQL (2017) — 112 citations
- Packet Transactions: High-Level Programming for Line-Rate Switches (2015) — 344 citations