Yong Jiang

Alibaba DAMO Academy


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-related 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:

  1. Incorporating various kinds of knowledge to improve named entity recognition: embedding combination, ACE, retrieval guided learning, sparse retrieval, multi-modal NER.
  2. Knowledge distillation for learning multilingual models: structure-level KD, structural KD.
  3. Improving sequence labeling methods: designing powerful potential functions, speeding up CRF training & inference.
  4. Leveraging source models to improve cross-lingual ability: risk minimization, multi-view learning, word reordering.
  5. Unsupervised grammar induction: the first neural-based unsupervised parser, discriminative autoencoder, 2nd order parsing, EACL tutorial and empirical study.
  6. Multi-view learning for NER, entity linking and cross-lingual learning.
  7. 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.


  • Natural Language Processing
  • Machine Learning
  • Deep Learning


  • PhD in Computer Science, 2019

    ShanghaiTech University

  • PhD in Computer Science, 2019

    University of Chinese Academy of Sciences


  • [Apr. 2022] A paper was accepted to NAACL 2022!
  • [Feb. 2022] Our team wins the SemEval 2022 Multilingual NER competition on 10 tracks over 13 tracks! Checkout our paper
  • [Sep. 2021] Recent talk on multilingual NER
  • [Aug. 2021] Three papers were accepted to EMNLP 2021!
  • [May. 2021] Five papers were accepted to ACL 2021!
  • [May. 2021] A paper was accepted to Findings of ACL 2021!
  • [Apr. 2021] A tutorial was accepted to EACL 2021!
  • [Sep. 2020] Two papers were accepted to COLING 2020!
  • [Sep. 2020] Two papers were accepted to EMNLP 2020!
  • [Sep. 2020] Two papers were accepted to Findings of EMNLP 2020!
  • [Apr. 2020] Two papers were accepted to ACL 2020!
  • [Aug. 2019] Two papers were accepted to EMNLP 2019!



Research Intern

Tencent AI Lab

Jan 2018 – Oct 2018 Shenzhen

Research Intern


Jul 2017 – Sep 2017 Shanghai

Visiting Scholar

UC Berkeley

Aug 2016 – Feb 2016 California


Conference Program Committee/Reviewer:

2022: AAAI, ICLR





I am very lucky to collaborate with the following students:

Xinyu Wang (Research Intern, 2019.10-Now): 10 papers published during internship, including ACL*4 , EMNLP*2 and NAACL*1 papers.

Jiong Cai (2020.10-Now): EMNLP 2017, SemEval 2022

Chengyue Jiang (Research Intern, 2021.8-Now)

Xuming Hu (Research Intern, 2021.8-Now)

Yuchen Zhai (Research Intern, 2022.1-Now)

Jinyuan Fang (Research Intern, 2022.4-Now)

Yu Zhang (Co-Mentored Student & Research Intern, 2020.7-Now)

Xin Zhang (Co-Mentored Student in DAMO, 2021.11-Now)

Zechuan Hu (Co-Mentored Student & Research Intern, 2019.1-2021.7): 3 papers published during internship, including 2 ACL papers and 1 EMNLP paper.

Yongliang Shen (Co-Mentored Student in DAMO, 2021.11-2022.3): SemEval 2022

Tao Ji (Research Intern, 2020-2021): 2 EMNLP papers published during internship.

Xinyin Ma (Research Intern, 2021): 1 EMNLP paper published during internship.

Jun Mei (Co-Mentored Student, 2017-2018): AAAI 2018

Songlin Yang (Co-Mentored Student, 2019-2020): COLING 2020

Yunzhe Yuan (Co-Mentored Student, 2018-2019): AAAI 2019

Jun Li (Co-Mentored Student, 2018-2019): ACL 2020

We are hiring research interns in Alibaba DAMO Academy. Please send me an email if you are interested!

I closely collaborate(d) with the following researchers:

Nguyen Bach, Wenjuan Han, Fei Huang, Zhongqiang Huang, Kewei Tu, Xiao Zhang