Anh Tuan Nguyen
Information Systems · with Nguyen · 2013–2017
A researcher in the Science corpus: 7 papers; trusts 61 researchers and is trusted by 69 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 72 citations into it; #178 of 8,771 by trust here, #485 by citations
- Artificial Intelligence — 43 citations into it; #6,677 of 35,345 by trust here, #12,083 by citations
- Software — 38 citations into it; #54 of 1,227 by trust here, #105 by citations
- Natural Language Processing — 32 citations into it; #811 of 5,688 by trust here, #1,443 by citations
- Computer Networks and Communications — 28 citations into it; #5,200 of 9,886 by trust here, #7,492 by citations
- Signal Processing — 17 citations into it; #610 of 7,572 by trust here, #960 by citations
- Code Generation & Program Synthesis — 16 citations into it; #23 of 220 by trust here, #41 by citations
- Program Analysis & Verification — 14 citations into it; #204 of 301 by trust here, #225 by citations
Whom Anh Tuan Nguyen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Premkumar T. Devanbu
- Tung Thanh Nguyen
- Mark Gabel
- Miltiadis Allamanis
- Marcel Bruch
- Tomas Mikolov
- Zhendong Su
- John R. Koza
- Christopher D. Manning
- Hoan Anh Nguyen
Who trusts Anh Tuan Nguyen overall
- Premkumar T. Devanbu
- Vincent J. Hellendoorn
- Vijayaraghavan Murali
- Michael Pradel
- Miltiadis Allamanis
- Xinyun Chen
- Swarat Chaudhuri
- Jibesh Patra
- Trong Duc Nguyen
- Michele Tufano
Papers from Anh Tuan Nguyen's perspective
Ordered by how strongly the researchers Anh Tuan Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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)
Their papers
- Lexical statistical machine translation for language migration (2013) — 172 citations
- Divide-and-Conquer Approach for Multi-phase Statistical Migration for Source Code (T) (2015) — 91 citations
- Exploring API Embedding for API Usages and Applications (2017) — 172 citations
- A Large-Scale Study on Repetitiveness, Containment, and Composability of Routines in Open-Source Projects (2016) — 17 citations
- Mapping API Elements for Code Migration with Vector Representations (2016) — 62 citations
- Graph-Based Statistical Language Model for Code (2015) — 219 citations
- A statistical semantic language model for source code (2013) — 233 citations