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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 multilingual NLP, structured prediction and so on. In my PhD time, I mainly worked on learning latent variable models for NLP problems and ML problems.

Spotlight of our recent work:

  1. Knowledge distillation for learning multilingual models: structure-level KD, structural KD.
  2. Improving sequence labeling methods: designing better potential functions, speeding up CRF training & inference.
  3. Better cross-lingual methods: risk minimization, multi-view learning
  4. Incorporating various kinds of knowledge to improve NER, sequence labeling and structured prediction: embedding combination, ACE, retrieval guided learning.
  5. Unsupervised grammar induction: 2nd order parsing, EACL tutorial.

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

  • PhD in Computer Science, 2019

    ShanghaiTech University

  • PhD in Computer Science, 2019

    University of Chinese Academy of Sciences

News

  • [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!

Experience

 
 
 
 
 

Research Intern

Tencent AI Lab

Jan 2018 – Oct 2018 Shenzhen
 
 
 
 
 

Research Intern

Tencent

Jul 2017 – Sep 2017 Shanghai
 
 
 
 
 

Visiting Scholar

UC Berkeley

Aug 2016 – Feb 2016 California

Services

Conference Program Committee/Reviewer:

2021: AAAI, EACL, EMNLP, ICLR, ICML, NAACL, NeuIPS

2020: AAAI, AACL, EMNLP, IJCAI, NeurIPS

2019: AAAI, ACL, EMNLP, NAACL

Collaborators

I am very lucky to work with the following students:

Xinyu Wang (Research Intern, 2019.10-Now): ACL 2020, 2 EMNLP 2020, 3 ACL 2021.

Zechuan Hu (Co-Mentored Student & Research Intern, 2019.1-Now): EMNLP 2020, 2 ACL 2021.

Tao Ji (Research Intern, 2020.1-Now)

Jiong Cai (Co-Mentored Student & Research Intern, 2016-2019, 2020.10-Now): EMNLP 2017

Xinyin Ma (Research Intern, 2020.12-Now)

Yu Zhang (Research Intern, 2020.7-2021.1)

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


I closely collaborate(d) with the following researchers:

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