Scholar
Yong Jiang
Google Scholar ID: sxXZWQQAAAAJ
Alibaba Group
Citations & Impact
Citations
6,283
H-index
26
i10-index
58
Publications
20
Co-authors
18
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers and presented research at top conferences; led the development of AdaSeq, supporting 30+ SOTA benchmarks for sequence understanding tasks; won several competition awards, including the Best System Paper Award at SemEval 2022.
Research Experience
- During his PhD, mainly worked on learning latent variable models for NLP and ML problems. Current research focuses on applying cutting-edge technologies to real products and platforms.
Education
- Received a Ph.D. in Computer Science from the joint program of ShanghaiTech University and University of Chinese Academy of Sciences in 2019, advised by Prof. Kewei Tu.
Background
- Currently working at Alibaba DAMO Academy. Interested in machine learning and natural language processing, focusing on entity understanding tasks, information retrieval (query/doc understanding), language model pretraining, multilingual NLP, structured prediction, etc.
Miscellany
- Has a strong interest in Natural Language Processing, Machine Learning, and Deep Learning.
