Ming Shan Hee

Ming Shan Hee

Ph.D. Candidate

Singapore University of Tech. and Design

Biography

I’m currently a fourth-year Ph.D. candidate at the Singapore University of Technology and Design (SUTD), under the research guidance of Prof. Roy Ka-Wei Lee.  I am honoured to receive several prestigious scholarships/awards, including Presidential Doctoral Fellowship Scholarship and the Singapore Data Science Consortium (SDSC) Dissertation Research Fellowship 2024, that support my PhD studies.

My research focus on Computational Social Science with Explainable AI, particularly focusing on explainable approaches for hateful content moderation.

Interests
  • Computational Social Science
  • Explainable Artificial Intelligence
  • Multimodal Analysis
Education
  • Ph.D. in Information System Technology and Design, Present

    Singapore University of Technology and Design

  • BSc in Science (Information System), 2020

    Singapore Management University

News

03/2023 - [Paper Acceptance] One workshop paper accepted at SocialNLP'24
03/2023 - [Paper Acceptance] One demo paper accepted at TheWebConf'24
03/2023 - [Milestone] Served as a Program Committee for ASONAM'24
02/2023 - [Milestone] Served as a Reviewer for ACM MM'24
12/2023 - [Paper Acceptance] One tutorial accepted at TheWebConf'24
12/2023 - [Award] Awarded the Singapore Data Science Consortium (SDSC) Dissertation Research Fellowship 2023
11/2023 - [Milestone] Served as a Reviewer for TheWebConf'24
11/2023 - [Paper Acceptance] One research paper accepted at ACM BigData'23
08/2023 - [Milestone] Served as a Reviewer for EMNLP'23
07/2023 - [Paper Acceptance] Three research papers accepted at ACM MM'23
04/2023 - [Paper Acceptance] Two research papers accepted at IJCAI'23
03/2023 - [Paper Acceptance] One research paper accepted at ACM MMSys'23
12/2022 - [Milestone] Passed Qualifying Preliminary Examination (QPE)!
01/2022 - [Paper Acceptance] One research paper accepted at TheWebConf'22

Recent Publications

(2023). MATK: The Meme Analytical Tool Kit. In ACM MM'23.

Cite

(2023). Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. In ACM MM'23.

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(2023). PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models. In ACM MM'23.

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(2023). Decoding the Underlying Meaning of Multimodal Hateful Memes. In IJCAI'23.

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(2023). Evaluating GPT-3 Generated Explanations for Hateful Content Moderation. In IJCAI'23.

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