Dependently Typed Knowledge Graphs. - Zhangsheng Lai; Aik Beng Ng; Liang Ze Wong; Simon See; Shaowei Lin (CoRR, 2020)

ESRA: Explainable Scientific Research Assistant. - Pollawat Hongwimol; Peeranuth Kehasukcharoen; Pasit Laohawarutchai; Piyawat Lertvittayakumjorn; Aik Beng Ng; Zhangsheng Lai; Timothy Liu; Peerapon Vateekul (ACL (demo), 2021)

SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (ISMAR Adjunct, 2022)

Towards a HOI application for digital home assistants. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (ISMAR Adjunct, 2022)

NewsMet : A 'do it all' Dataset of Contemporary Metaphors in News Headlines. - Rohan Joseph; Timothy Liu; Aik Beng Ng; Simon See; Sunny Rai (ACL (Findings), 2023)

AICRID: AI-Empowered CR For Interior Design. - Jin Qi Yeo; Yidi Wang; Shawn Tanary; Jiaxuan Cheng; Matthew Lau; Aik Beng Ng; Frank Guan (ISMAR-Adjunct, 2023)

Exploring Domain Randomization's Effect on Synthetic Data for Activity Detection. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Andrew Grant; Eric Cameracci; Simon See (MetaCom, 2023)

SynthDa: Exploiting Existing Real-World Data for Usable and Accessible Synthetic Data Generation. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Zhihua Zhou; Andrew Grant; Simon See (SIGGRAPH Asia Technical Communications, 2023)

Designing a Usable Framework for Diverse Users in Synthetic Human Action Data Generation. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Joey Lim; Triston Chan Sheen; Simon See (SIGGRAPH Asia Technical Communications, 2024)

Towards Accelerating Physics Informed Graph Neural Network for Fluid Simulation. - Yidi Wang; Frank Guan; Malcolm Yoke Hean Low; Zhengkui Wang; Aik Beng Ng; Simon See (SIGGRAPH Asia Posters, 2024)

Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing. - Zhengyi Kwan; Wei Zhang; Zhengkui Wang; Aik Beng Ng; Simon See (CoRR, 2024)

A General-Purpose Multimodal Foundation Model for Dermatology. - Siyuan Yan; Zhen Yu; Clare Primiero; Cristina Vico-Alonso; Zhonghua Wang; Litao Yang; Philipp Tschandl; Ming Hu; Gin Tan; Vincent Tang; Aik Beng Ng; David Powell; et al. (CoRR, 2024)

On-Device LLMs for SMEs: Challenges and Opportunities. - Jeremy Stephen Gabriel Yee; Pai Chet Ng; Zhengkui Wang; Ian McLoughlin; Aik Beng Ng; Simon See (CoRR, 2024)

Review on synergizing the Metaverse and AI-driven synthetic data: enhancing virtual realms and activity recognition in computer vision. - Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See (Vis. Intell., 2024)

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image. - Karin Huangsuwan; Timothy Liu; Simon See; Aik Beng Ng; Peerapon Vateekul (IEEE Access, 2025)

Feature-based Graph Attention Networks Improve Online Continual Learning. - Adjovi Sim; Zhengkui Wang; Aik Beng Ng; Shalini De Mello; Simon See; Wonmin Byeon (CoRR, 2025)