View Scopus Profile Associate Professor , Department of Computer Science Email majing hkbu.edu hk Accepting PhD Students Natural Language Processing, Explained Machine Learning, Social Media Analytics, Dialog System, Fact Checking, etc Research activity per year Personal profile 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. Q Science (General) Natural Language Processing 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 2 Similar Scholars Large Language Model Computer Science 100% Large Language Models Keyphrases 97% Rumor Detection Keyphrases 84% Experimental Result Computer Science 54% Twitter Keyphrases 52% Microblogs Computer Science 47% Social Media Keyphrases 41% Multimodal Model Keyphrases 41% Collaborations and top research areas from the last five years Select a country/territory to view shared publications and projects Projects per year Conversation-based Reasoning for Explainable Fake News Detection via Weakly Supervised Evidence Detection MA, J. (PI) 1/01/23 → … Project : Research project Large Language Models 100% Large Language Model 87% Multimodal Model 68% Annotation 48% Language Modeling 44% Conversation-based Reasoning for Explainable Fake News Detection via Weakly Supervised Evidence Detection Project : Research project Large Language Models 100% Large Language Model 87% Multimodal Model 68% Language Modeling 44% Code Generation Techniques in Compound AI Systems and Applications MA, J. (PI) Project : Research project Code Generation Techniques in Compound AI Systems and Applications Project : Research project Code Generation Techniques in Compound AI Systems and Applications MA, J. (PI) 1/05/25 → 1/05/26 Project : Research project Generation Method 100% AI Applications 100% AI-based Methods 100% Code Generation 100% Artificial Intelligence 100% Code Generation Techniques in Compound AI Systems and Applications 1/05/25 → 1/05/26 Project : Research project Generation Method 100% AI Applications 100% AI-based Methods 100% Code Generation 100% Artificial Intelligence 100% Value-aligned Credible Large Language Model MA, J. (PI) 1/09/24 → 30/09/25 Project : Research project Factual Accuracy 100% Reward System 100% Human Values 100% Large Language Models 100% Trustworthy AI 100% Value-aligned Credible Large Language Model 1/09/24 → 30/09/25 Project : Research project Factual Accuracy 100% Reward System 100% Human Values 100% Large Language Models 100% Trustworthy AI 100%

News Summarizations and Combating Misinformation based on Social Relation MA, J. (PI) 1/01/23 → 31/12/25 Project : Research project News Summarizations and Combating Misinformation based on Social Relation 1/01/23 → 31/12/25 Project : Research project Research Output 60 Conference proceeding 21 Journal article Research output per year Research output per year 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 Fake News 100% Performance Art 33% Investigative Journalism 33% Intuitive Explanation 33% Retrieval-Augmented Generation 33% 1 Citation (Scopus) A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM Research output : Contribution to journal › Journal article › peer-review Performance Art 33% Investigative Journalism 33% Intuitive Explanation 33% Retrieval-Augmented Generation 33% 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 Fake News Detection 100% Social Context 50% Modeling Framework 50% Art Performance 50% Reasoning Process 50% Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review Fake News Detection 100% Social Context 50% Modeling Framework 50% Art Performance 50% Reasoning Process 50% 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 Exposure Measurement Error 100% Non-autoregressive Decoding 100% Noise Schedule 100% Mathematical Problem Solving 100% Diffuse Noise 100% DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review Exposure Measurement Error 100% Non-autoregressive Decoding 100% Noise Schedule 100% Mathematical Problem Solving 100% Diffuse Noise 100% 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 Automated Theorem Proving 100% Mathematical Domain 33% Reasoning Model 33% Theorem Prover 33% New Theorems 33% EvolProver: Advancing Automated theorem proving by Evolving Formalized Problems via Symmetry and Difficulty Research output : Chapter in book/report/conference proceeding › Conference proceeding › peer-review Automated Theorem Proving 100% Mathematical Domain 33% Reasoning Model 33% Theorem Prover 33% New Theorems 33% 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 Memes 100% Meme Detection 100% Multimodal Model 100% Multi-modal 100% Meme 100% 3 Citations (Scopus) ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models Research output : Contribution to journal › Journal article › peer-review Meme Detection 100% Multimodal Model 100% Multi-modal 100% 2022 AI 2000 Most Influential Scholar Award Honorable Mention MA, J. (Recipient), 31 May 2022 Prize : Award 2022 AI 2000 Most Influential Scholar Award Honorable Mention MA, J. (Recipient), 31 May 2022 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 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 The World’s top 2% scientists released by Stanford University MA, J. (Recipient), 18 Oct 2022 Prize : Other distinction The World’s top 2% scientists released by Stanford University MA, J. (Recipient), 18 Oct 2022 Prize : Other distinction