Lingxiao Jiang
Artificial Intelligence · 2007–2021
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Natural Language Processing — 36 citations into it
- Information Systems — 30 citations into it; #1,184 of 8,771 by trust here, #1,740 by citations
- Software — 12 citations into it; #150 of 1,227 by trust here, #203 by citations
- Information Retrieval & Search — 11 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Signal Processing — 6 citations into it; #3,043 of 7,572 by trust here, #2,001 by citations
Whom Lingxiao Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Raghavan Komondoor
- Saul Schleimer
- Mayur Datar
- Susan Horwitz
- Geoffrey E. Hinton
- Ilya Sutskever
- Zhenmin Li
- D. Bobrow
- Yoshua Bengio
- Shinji Kusumoto
Who trusts Lingxiao Jiang overall
- Chanchal Kumar Roy
- Miltiadis Allamanis
- Jian Zhang
- Kai Chen
- Chun-Hung Hsiao
- Gang Zhao
- Lutz Büch
- James R. Cordy
- Anh Tuan Nguyen
- Yanxin Lu
Papers from Lingxiao Jiang's perspective
Ordered by how strongly the researchers Lingxiao Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- Investigating Math Word Problems using Pretrained Multilingual Language Models (2021) — 36 citations
- Are the Code Snippets What We Are Searching for? A Benchmark and an Empirical Study on Code Search with Natural-Language Queries (2020) — 64 citations
- Scalable detection of semantic clones (2008) — 384 citations
- DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones (2007) — 1,147 citations