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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 knowledge-related problems, language model pretraining, 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. Leveraging source models to improve cross-lingual ability: risk minimization, multi-view learning, word reordering.
  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.
  6. Improving NER performance and Entity linking performance

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

  • [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!

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:

2022: AAAI, ICLR

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

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): 2 EMNLP 2021

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

Chengyue Jiang (Research Intern, 2021.8-Now)

Xuming Hu (Research Intern, 2021.8-Now)

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

Xinyin Ma (Research Intern, 2020.12-2021.6): EMNLP 2021

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