Yong Jiang
Alibaba DAMO Academy
Biography
Hi! I currently work at Alibaba DAMO Academy. I received my Ph.D from the joint program of ShanghaiTech University and University of Chinese Academy of Sciences. I was very fortunate to be advised by Prof. Kewei Tu. I am interested in machine learning and natural language processing.
My current research mainly focuses on entity understanding tasks, information retrieval (query/doc understanding), language model pretraining, multilingual NLP, structured prediction and so on. Furthermore, I also ship these cutting-edge technologies to real products and platforms.
In my PhD time, I mainly worked on learning latent variable models for NLP problems and ML problems.
Spotlight of our recent work:
- Incorporating various kinds of knowledge to improve named entity recognition: embedding combination, ACE, retrieval guided learning, sparse retrieval, multi-modal NER.
- Knowledge distillation for learning multilingual models: structure-level KD, structural KD.
- Improving sequence labeling methods: designing powerful potential functions, speeding up CRF training & inference.
- Leveraging source models to improve cross-lingual ability: risk minimization, multi-view learning, word reordering.
- Unsupervised grammar induction: the first neural-based unsupervised parser, discriminative autoencoder, 2nd order parsing, EACL tutorial and empirical study.
- Multi-view learning for NER, entity linking and cross-lingual learning.
- Fun with KL divergence: KL(p(*|a, b, c) || p(*|d, e)), KL(P || p), KL(p || q), KL(tractable || intractable?), KL (different modality).
We have some research intern positions available in Alibaba DAMO Academy. If you are interested in NLP and ML, please feel free to contact me: jiangyong.ml@gmail.com.
Interests
- Natural Language Processing
- Machine Learning
- Deep Learning
Education
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PhD in Computer Science, 2019
ShanghaiTech University
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PhD in Computer Science, 2019
University of Chinese Academy of Sciences