| 2024 | ICDM | Converting Vocal Performances into Sheet Music Leveraging Large Language Models. | Jinjing Jiang, Nicole Anne Teo Huiying, Haibo Pen, Seng-Beng Ho, Zhaoxia Wang |
| 2024 | PAKDD | DLVS4Audio2Sheet: Deep Learning-Based Vocal Separation for Audio into Music Sheet Conversion. | Nicole Anne Teo Huiying, Zhaoxia Wang, Ezekiel En Zhe Ghe, Yee Sen Tan, Kevan Oktavio, Alexander Vincent Lewi, Allyne Zhang, Seng-Beng Ho |
| 2023 | ICDM | Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge. | Autumn Teo, Zhaoxia Wang, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon-Kiat Quek |
| 2021 | ICTAI | Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method. | Zhenda Hu, Zhaoxia Wang, Seng-Beng Ho, Ah-Hwee Tan |
| 2019 | CVPR | On Human-like Performance Artificial Intelligence: A Demonstration Using an Atari Game. | Seng-Beng Ho, Xiwen Yang, Therese Quieta, Gangeshwar Krishnamurthy, Fiona Liausvia |
| 2018 | ICDM | Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment. | Zhaoxia Wang, Seng-Beng Ho, Zhiping Lin |
| 2017 | AAAI | Causal Learning versus Reinforcement Learning for Knowledge Learning and Problem Solving. | Seng-Beng Ho |
| 2017 | AAAI | On Inductive Learning of Causal Knowledge for Problem Solving. | Seng-Beng Ho, Fiona Liausvia |
| 2017 | CVPR | The Role of Synchronic Causal Conditions in Visual Knowledge Learning. | Seng-Beng Ho |
| 2013 | CogSci | The Atoms of Cognition: Action Learning and Problem Solving. | Seng-Beng Ho |
| 2012 | CogSci | The Atoms of Cognition: A Theory of Ground Epistemics. | Seng-Beng Ho |