Jian Yin
Artificial Intelligence · 2014–2023
A researcher in the Science corpus: 13 papers; trusts 315 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 282 citations into it; #6,180 of 35,345 by trust here, #4,205 by citations
- Natural Language Processing — 266 citations into it; #1,236 of 5,688 by trust here, #1,069 by citations
- Information Systems — 94 citations into it; #3,795 of 8,771 by trust here, #582 by citations
- Computer Vision and Pattern Recognition — 80 citations into it; #7,098 of 21,575 by trust here, #7,852 by citations
- Evaluation & Benchmarks — 48 citations into it; #1,700 of 3,147 by trust here, #1,876 by citations
- Large Language Models — 40 citations into it
- Software — 39 citations into it
- Code Generation & Program Synthesis — 28 citations into it
Whom Jian Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ilya Sutskever
- Dzmitry Bahdanau
- Alex Krizhevsky
- Miltiadis Allamanis
- Kyunghyun Cho
- Yann LeCun
- Alex Graves
Who trusts Jian Yin overall
- Lei Wang
- Dongxiang Zhang
- Jinghui Qin
- Danqing Huang
- Jierui Li
- Yining Hong
- Jipeng Zhang
- Bugeun Kim
- Yan Wang
- Zhenwen Liang
Papers from Jian Yin's perspective
Ordered by how strongly the researchers Jian Yin trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- ImageNet: A large-scale hierarchical image database
Their papers
- How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation (2016) — 159 citations
- GraphCodeBERT: Pre-training Code Representations with Data Flow (2020) — 1,778 citations
- Learning Fine-Grained Expressions to Solve Math Word Problems (2017) — 91 citations
- Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition (2014) — 747 citations
- Reasoning Over Semantic-Level Graph for Fact Checking (2019) — 186 citations
- Analytical Reasoning of Text (2022) — 27 citations
- Using Intermediate Representations to Solve Math Word Problems (2018) — 29 citations
- LongCoder: A Long-Range Pre-trained Language Model for Code Completion (2023) — 166 citations
- UniXcoder: Unified Cross-Modal Pre-training for Code Representation (2022) — 1,023 citations
- Learning to Generate Code Sketches (2021) — 4 citations
- Low-Resource Generation of Multi-hop Reasoning Questions (2020) — 15 citations
- Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing (2019) — 50 citations
- Neural Math Word Problem Solver with Reinforcement Learning (2018) — 91 citations