Projects 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):
Keywords
- Q Science (General)
- Natural Language Processing
- Social media
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Dive into the research topics where Jing MA is active. Topic labels come from the works of this scholar.
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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
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Code Generation Techniques in Compound AI Systems and Applications
MA, J. (PI)
1/05/25 → 1/05/26
Project: Research project
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Conversation-based Reasoning for Explainable Fake News Detection via Weakly Supervised Evidence Detection
MA, J. (PI)
1/01/23 → …
Project: Research project
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News Summarizations and Combating Misinformation based on Social Relation
MA, J. (PI)
1/01/23 → 31/12/25
Project: Research project
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AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Meme Harmfulness
Chen, Z., Lin, H., Li, K., Luo, Z., Ye, Z., Chen, G., Huang, Z. & Ma, J., 27 Jul 2025, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Vienna: Association for Computational Linguistics (ACL), Vol. 1. p. 4234–4253 20 p. (Proceedings of Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
A Survey of Approaches to Early Rumor Detection on Microblogging Platforms: Computational and Socio-Psychological Insights
Kwao, L., Yang, Y., Zou, J. & Ma, J., Mar 2025, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 15, 1, e70001.Research output: Contribution to journal › Journal article › peer-review
4 Citations (Scopus) -
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
Sun, Y., Zuo, A., Gao, W. & Ma, J., 27 Jul 2025, Findings of the Association for Computational Linguistics: ACL 2025. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Vienna: Association for Computational Linguistics (ACL), p. 14060–14076 17 p.Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
Zhao, Y., Luo, Z., Tian, Y., Lin, H., Yan, W., Li, A. & Ma, J., Jan 2025, Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics (ACL), p. 73-95 23 p. (Proceedings - International Conference on Computational Linguistics, COLING; vol. Part F206484-1).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Lin, H., Deng, Y., Gu, Y., Zhang, W., Ma, J., Ng, S.-K. & Chua, T. S., 27 Jul 2025, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics: Long Papers. Che, W., Nabende, J., Shutova, E. & Taher Pilehvar, M. (eds.). Vienna: Association for Computational Linguistics (ACL), Vol. 1. p. 360-381 22 p. (Proceedings of Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access
Prizes
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2022 AI 2000 Most Influential Scholar Award Honorable Mention
MA, J. (Recipient), 31 May 2022
Prize: Award
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Recognised as one of “The 2022 Women in AI” by AMiner for her outstanding performance in information retrieval and natural language processing
MA, J. (Recipient), 14 Mar 2022
Prize: Award
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The World’s top 2% scientists released by Stanford University
MA, J. (Recipient), 18 Oct 2022
Prize: Other distinction