Ying-Bo Zhou
Artificial Intelligence · 2022–2025
A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 128 citations into it
- Natural Language Processing — 40 citations into it
Whom Ying-Bo Zhou trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Sumit Gulwani (in Natural Language Processing)
- Jimmy Ba (in Artificial Intelligence)
Papers from Ying-Bo Zhou's perspective
Ordered by how strongly the researchers Ying-Bo Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- ImageNet classification with deep convolutional neural networks
- Proximal Policy Optimization Algorithms (arXiv.org)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
Their papers
- SweRank: Software Issue Localization with Code Ranking (2025)
- SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization (2025)
- RLHF Workflow: From Reward Modeling to Online RLHF (2024)
- CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval (2024)
- CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis (2022) — 1,548 citations