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, I was 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.
Keywords
- Q Science (General)
- Natural Language Processing
- Social media
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):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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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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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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Code Generation Techniques in Compound AI Systems and Applications
MA, J. (PI)
Project: Research project
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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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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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A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
Wang, B., Ma, J., Lin, H., Yang, Z., Yang, R., Tian, Y. & Chang, Y., 11 Jun 2026, In: ACM Transactions on Information Systems. 44, 5, p. 1-36 36 p., 112.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection
Yang, R., Bian, Y., Gao, W., Zhang, B.-W., Ma, J., Lin, H., Luo, Z., Zhu, X. & Yin, X.-C., Jul 2026, Findings of the Association for Computational Linguistics: ACL 2026. Liakata, M., Moreira, V. P., Zhang, J. & Jurgens, D. (eds.). Association for Computational Linguistics (ACL), p. 31998-32013 16 p.Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs
Cao, S., Lin, H., Gu, Y., Luo, Z. & Ma, J., Jul 2026, Findings of the Association for Computational Linguistics: ACL 2026. Liakata, M., Moreira, V. P., Zhang, J. & Jurgens, D. (eds.). Association for Computational Linguistics (ACL), p. 38942-38957 16 p.Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
EvolProver: Advancing Automated theorem proving by Evolving Formalized Problems via Symmetry and Difficulty
Tian, Y. (Co-first author), Huang, R. (Co-first author), Wang, X., Ma, J., Huang, Z., Luo, Z., Lin, H., Zheng, D. & Du, L., 23 Apr 2026, The Fourteenth International Conference on Learning Representations, ICLR 2026. International Conference on Learning Representations, ICLR, p. 1-27 27 p. (International Conference on Learning Representations, ICLR).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models
Lin, H., Gao, W., Ma, J., Deng, Y., Luo, Z., Wang, B., Yang, R. & Chua, T. S., Feb 2026, In: IEEE Transactions on Knowledge and Data Engineering. 38, 2, p. 1040-1053 14 p.Research output: Contribution to journal › Journal article › peer-review
1 Citation (Scopus)
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