Li Rong Wang

Orcid: 0000-0003-3546-9354

According to our database1, Li Rong Wang authored at least 14 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Robust Uncertainty Estimation under Distribution Shift via Difference Reconstruction.
CoRR, January, 2026

Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Hybrid Approach for Irregular-Time Series Prediction Using Electronic Health Records: An Intensive Care Unit Mortality Case Study.
ACM Trans. Comput. Heal., October, 2025

Integrating Clinical Insights via Hierarchical Inference to Predict Conditions in Bilaterally Symmetric Organs.
IEEE J. Biomed. Health Informatics, August, 2025

Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning.
PLoS Comput. Biol., 2025

Trading Confidence: Comprehensive Uncertainty Estimation in Algorithmic Trading.
Proceedings of the 29th Pacific Asia Conference on Information Systems, 2025

Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery.
Proceedings of the International Joint Conference on Neural Networks, 2025

Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals.
Proceedings of the IEEE International Conference on Data Mining, 2025

The Effect of Explainable AI and Uncertainty Quantification on Medical Students' Perspectives of Decision-Making AI: A Cancer Screening Case Study.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024
Dynamic Modeling of Patient Vital Signs: Leveraging Markov Chain Principles with Neural Networks for Irregular Time-Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024

Confidence Estimation in Analyzing Intravascular Optical Coherence Tomography Images with Deep Neural Networks.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Exploring Epistemic and Distributional Uncertainties in Algorithmic Trading Agents.
Proceedings of the IEEE International Conference on Agents, 2024

On Identifying Effective Investigations with Feature Finding Using Explainable AI: An Ophthalmology Case Study.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023
Stock Price Predictability and the Business Cycle via Machine Learning.
CoRR, 2023


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