Stock Price Predictability and the Business Cycle via Machine Learning. - Li Rong Wang; Hsuan Fu; Xiuyi Fan (CoRR, 2023)

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 (AIME (2), 2024)

Exploring Epistemic and Distributional Uncertainties in Algorithmic Trading Agents. - Justin Loh Teng Hao; Li Rong Wang; Chang Liu; Chanwoo Choi; Siyuan Liu 003; Xiuyi Fan (ICA, 2024)

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 (IJCNN, 2024)

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 (CHI Extended Abstracts, 2025)

Trading Confidence: Comprehensive Uncertainty Estimation in Algorithmic Trading. - Lin Li; Li Rong Wang; Hsuan Fu; Xiuyi Fan (PACIS, 2025)

Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning. - Mohammad Neamul Kabir; Li Rong Wang; Wilson Wen Bin Goh (PLoS Comput. Biol., 2025)

Integrating Clinical Insights via Hierarchical Inference to Predict Conditions in Bilaterally Symmetric Organs. - Li Rong Wang; Si Yin Charlene Chia; Vivien Cherng Hui Yip; Kelvin Zhenghao Li; Xiuyi Fan (IEEE J. Biomed. Health Informatics, 2025)