| 2026 | AAAI | Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation. | Junwen Zheng, Xinran Xu, Li Rong Wang, Chang Cai, Lucinda Siyun Tan, Dingyuan Wang, Hong Liang Tey, Xiuyi Fan |
| 2025 | CHI | The Effect of Explainable AI and Uncertainty Quantification on Medical Students' Perspectives of Decision-Making AI: A Cancer Screening Case Study. | Sing Yee Toh, Chang Cai, Li Rong Wang, Xiaoyin Bai, Joanne Ngeow, Xiuyi Fan |
| 2025 | ICDM | Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals. | Li Rong Wang, Thomas C. Henderson, Yew Soon Ong, Yih Yng Ng, Xiuyi Fan |
| 2025 | IJCNN | Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery. | Woon Yee Ng, Li Rong Wang, Siyuan Liu, Xiuyi Fan |
| 2024 | AIME | On Identifying Effective Investigations with Feature Finding Using Explainable AI: An Ophthalmology Case Study. | Rathika Suresh Kumar, Kelvin Zhenghao Li, Si Yin Charlene Chia, Li Rong Wang, Vivien Cherng Hui Yip, Wei Kiong Ngo, Yih Yng Ng, Xiuyi Fan |
| 2024 | IJCNN | Dynamic Modeling of Patient Vital Signs: Leveraging Markov Chain Principles with Neural Networks for Irregular Time-Series Prediction. | Xin Yun Choy, Li Rong Wang, Thomas C. Henderson, Kelvin Li, Yih Yng Ng, Xiuyi Fan |