Ming Shan Hee

Ming Shan Hee

Ph.D. Candidate

Singapore University of Tech. and Design

Biography

I am a third-year Ph.D. candidate at the Singapore University of Technology and Design (SUTD), under the guidance of Prof. Roy Ka-Wei Lee. My research interests lie in the interdisciplinary field of Multimodal Learning and Explainable Artificial Intelligence (XAI), focusing specifically on the detection and explainability of online multimodal hate content on Social Networking Services (SNS).

Interests
  • Multimodal
  • Computational Linguistics
  • Explainable Artificial Intelligence
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] Invited to serve as a Program Committee for ASONAM'24
02/2023 - [Milestone] Invited to serve 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] Invited to serve as a Reviewer for TheWebConf'24
11/2023 - [Paper Acceptance] One research paper accepted at ACM BigData'23
08/2023 - [Milestone] Invited to serve 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

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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