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

10/2024 - [Paper Acceptance] One paper accepted at ICWSM'25
09/2024 - [Paper Acceptance] One main and one findings paper accepted at EMNLP'24
04/2024 - [Paper Acceptance] One workshop paper accepted at WOAH'24
03/2024 - [Paper Acceptance] One workshop paper accepted at SocialNLP'24
03/2024 - [Paper Acceptance] One demo paper accepted at TheWebConf'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 - [Paper Acceptance] One research paper accepted at ACM BigData'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
01/2022 - [Paper Acceptance] One research paper accepted at TheWebConf'22

Recent Publications

Ming Shan Hee, Aditi Kumaresan, Nguyen Khoi Hoang, Nirmalendu Prakash, Rui Cao, and Roy Ka-Wei Lee (2023). MATK: The Meme Analytical Tool Kit. In ACM MM'23.

Cite

Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, and Jing Jiang (2023). Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection. In ACM MM'23.

Cite

Nirmalendu Prakash, Han Wang, Nguyen Khoi Hoang, Ming Shan Hee, and Roy Ka-Wei Lee (2023). PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models. In ACM MM'23.

Cite

Ming Shan Hee, Wen-Haw Chong, and Roy Ka-Wei Lee (2023). Decoding the Underlying Meaning of Multimodal Hateful Memes. In IJCAI'23.

PDF Cite Code DOI

Han Wang, Ming Shan Hee, Md Rabiul Awal, Kenny Tsu Wei Choo, and Roy Ka-Wei Lee (2023). Evaluating GPT-3 Generated Explanations for Hateful Content Moderation. In IJCAI'23.

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