Li Rong Wang

17 papers A* 2B 2Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation.
AAAI
Junwen Zheng, Xinran Xu, Li Rong Wang, Chang Cai, Lucinda Siyun Tan, Dingyuan Wang, Hong Liang Tey, Xiuyi Fan
2026 J jnl
Robust Uncertainty Estimation under Distribution Shift via Difference Reconstruction.
CoRR
Xinran Xu, Li Rong Wang, Xiuyi Fan
2025 J jnl
A Hybrid Approach for Irregular-Time Series Prediction Using Electronic Health Records: An Intensive Care Unit Mortality Case Study.
ACM Trans. Comput. Heal.
Shaojie Zhong, Li Rong Wang, Zhuoxuan Zhan, Yih Yng Ng, Xiuyi Fan
2025 B conf
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery.
IJCNN
Woon Yee Ng, Li Rong Wang, Siyuan Liu, Xiuyi Fan
2025 J jnl
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery.
CoRR
Woon Yee Ng, Li Rong Wang, Siyuan Liu, Xiuyi Fan
2025 J jnl
Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation.
CoRR
Junwen Zheng, Xinran Xu, Li Rong Wang, Chang Cai, Lucinda Siyun Tan, Dingyuan Wang, Hong Liang Tey, Xiuyi Fan
2025 J jnl
Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning.
PLoS Comput. Biol.
Mohammad Neamul Kabir, Li Rong Wang, Wilson Wen Bin Goh
2025 J jnl
Integrating Clinical Insights via Hierarchical Inference to Predict Conditions in Bilaterally Symmetric Organs.
IEEE J. Biomed. Health Informatics
Li Rong Wang, Si Yin Charlene Chia, Vivien Cherng Hui Yip, Kelvin Zhenghao Li, Xiuyi Fan
2025 — conf
The Effect of Explainable AI and Uncertainty Quantification on Medical Students' Perspectives of Decision-Making AI: A Cancer Screening Case Study.
CHI Extended Abstracts
Sing Yee Toh, Chang Cai, Li Rong Wang, Xiaoyin Bai, Joanne Ngeow, Xiuyi Fan
2025 A* conf
Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals.
ICDM
Li Rong Wang, Thomas C. Henderson, Yew Soon Ong, Yih Yng Ng, Xiuyi Fan
2025 J jnl
Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals.
CoRR
Li Rong Wang, Thomas C. Henderson, Yew Soon Ong, Yih Yng Ng, Xiuyi Fan
2025 — conf
Trading Confidence: Comprehensive Uncertainty Estimation in Algorithmic Trading.
PACIS
Lin Li, Li Rong Wang, Hsuan Fu, Xiuyi Fan
2024 — conf
Confidence Estimation in Analyzing Intravascular Optical Coherence Tomography Images with Deep Neural Networks.
CAI
Lennard Korte, Li Rong Wang, Xiuyi Fan
2024 B conf
Dynamic Modeling of Patient Vital Signs: Leveraging Markov Chain Principles with Neural Networks for Irregular Time-Series Prediction.
IJCNN
Xin Yun Choy, Li Rong Wang, Thomas C. Henderson, Kelvin Li, Yih Yng Ng, Xiuyi Fan
2024 — conf
Exploring Epistemic and Distributional Uncertainties in Algorithmic Trading Agents.
ICA
Justin Loh Teng Hao, Li Rong Wang, Chang Liu, Chanwoo Choi, Siyuan Liu, Xiuyi Fan
2024 — conf
On Identifying Effective Investigations with Feature Finding Using Explainable AI: An Ophthalmology Case Study.
AIME (2)
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
2023 J jnl
Stock Price Predictability and the Business Cycle via Machine Learning.
CoRR
Li Rong Wang, Hsuan Fu, Xiuyi Fan