Yangruibo Ding
Information Systems · 2018–2022
A researcher in the Science corpus: 4 papers; trusts 57 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 91 citations into it; #7,321 of 8,771 by trust here, #4,682 by citations
- Artificial Intelligence — 72 citations into it
- Software — 64 citations into it; #1,015 of 1,227 by trust here, #839 by citations
- Natural Language Processing — 46 citations into it
- Signal Processing — 34 citations into it
- Code Generation & Program Synthesis — 25 citations into it
- Program Analysis & Verification — 23 citations into it; #244 of 301 by trust here, #248 by citations
- Computer Vision and Pattern Recognition — 19 citations into it
Whom Yangruibo Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- Yoshua Bengio
- Premkumar T. Devanbu
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Ilya Sutskever
- Diederik P. Kingma
- Vincent J. Hellendoorn
- Kyunghyun Cho
- Alex Krizhevsky
Who trusts Yangruibo Ding overall
Papers from Yangruibo Ding's perspective
Ordered by how strongly the researchers Yangruibo Ding 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)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context (2022) — 111 citations
- Deep Learning Based Vulnerability Detection: Are We There Yet? (2020) — 789 citations
- Patching as Translation: the Data and the Metaphor (2020) — 77 citations
- CODIT: Code Editing With Tree-Based Neural Models (2018) — 131 citations