Accepting PhD Students

PhD projects

Natural Language Processing, Explained Machine Learning, Social Media Analytics, Dialog System, Fact Checking, etc

20162024

Research activity per year

Personal profile

Chinese Name

馬晶

Biography

I received my PhD degree from the Department of Systems Engineering and Engineering Management (SEEM), The Chinese University of Hong Kong (CUHK) in 2020, supervised by Kam-Fai Wong and Wei Gao. I was recognised as one of “The 2022 Women in AI” by Aminer, and her paper was selected as Top Five Outstanding TIST Articles. During 2018.12-2019.08, I was a visiting scholar at Nanyang Technological University, Singapore. During 2019.12-2020.02, Iwas a visiting scholar at Institute for Basic Science, South Korea. In recent years, I served as Session Chair for COLING 2020, Program Committee Member for WWW2021, AAAI 2019-2021, ACL 2019, EMNLP 2019, AI 2019, etc, and was invited to review for journals such as TIST, TKDE, TOMM, etc. Early on I was working as a research intern in Baidu (with natural language processing group) and Tencent (with AI Lab).

Research Interests

Natural Language Processing, Social Network Analysis and Mining, Rumor and Fake News Detection, Stance Detection, Dialog system, and Explainable Machine Learning.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 16 - Peace, Justice and Strong Institutions

Keywords

  • Q Science (General)
  • Natural Language Processing
  • Social media

Fingerprint

Dive into the research topics where Jing MA is active. Topic labels come from the works of this scholar.
  • 1 Similar Scholars

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or