collaborators

5 papers

cs.AI2026

Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes

Shanhong Liu, Pai Chet Ng, De Wen Soh +2

Internet memes intertwine visual cues, textual content, and cultural context, making them particularly challenging to interpret in scenarios where humor, sarcasm, and harmful inten…

eess.IV2026

X-Palm: Paired Multispectral-to-Smartphone Dataset for Cross-Domain Palmprint Authentication

Jamal Seyedmohammadi, Pai Chet Ng, Angelo Genovese +3

Palmprint modality offers a privacy-preserving biometric solution, yet its deployment is hindered by the domain gap between controlled enrollment and unconstrained authentication.…

cs.CV2026

Privacy-Preserving Federated Action Recognition via Differentially Private Selective Tuning and Efficient Communication

Idris Zakariyya, Pai Chet Ng, Kaushik Bhargav Sivangi +3

Federated video action recognition enables collaborative model training without sharing raw video data, yet remains vulnerable to two key challenges: \textit{model exposure} and \t…

cs.AI2026

Yes FLoReNce, I Will Do Better Next Time! Agentic Feedback Reasoning for Humorous Meme Detection

Olivia Shanhong Liu, Pai Chet Ng, De Wen Soh +1

Humorous memes blend visual and textual cues to convey irony, satire, or social commentary, posing unique challenges for AI systems that must interpret intent rather than surface c…

cs.AI2024

On-Device LLMs for SMEs: Challenges and Opportunities

Jeremy Stephen Gabriel Yee, Pai Chet Ng, Zhengkui Wang +3

This paper presents a systematic review of the infrastructure requirements for deploying Large Language Models (LLMs) on-device within the context of small and medium-sized enterpr…