Scholar
Donghan Yu
Google Scholar ID: KlwvYcEAAAAJ
Apple
Citations & Impact
Citations
3,667
H-index
14
i10-index
19
Publications
20
Co-authors
9
list available
Contact
Publications
Resume (English only)
Academic Achievements
- DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases, ICLR 2023.
- Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion, SIGIR 2023.
- Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions, EACL 2023.
- KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering, ACL 2022.
- Dict-BERT: Enhancing Language Model Pre-training with Dictionary, ACL 2022.
- JAKET: Joint Pre-training of Knowledge Graph and Language Understanding, AAAI 2022.
Research Experience
- He conducted research work at the Language Technologies Institute, Carnegie Mellon University.
Background
- Donghan Yu is a senior researcher at Microsoft. He obtained his Ph.D. from the Language Technologies Institute at Carnegie Mellon University.
