Xiuyi Fan
Assistant Professor
Develops medical AI with an emphasis on explainable AI and uncertainty estimation.
Xiuyi Fan's lab at NTU works on medical imaging & healthcare AI, probabilistic & causal inference and trustworthy & safe ML. 31 papers since 2023, 4 at top venues, mostly IJCNN and AAAI.
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 13%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 2 · collecting
- 15 papers2025 · T1 1
- 6 papers2024 · T1 0
- 6 papers2023 · T1 1
T1 venuesOtherVenues: IJCNN, AAAI, ICDM, AAMAS, ICLR
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI7 papers
- Probabilistic & causal inference4 papers
- Trustworthy & safe ML3 papers
- develops medical0 papers
- emphasis0 papers
Paper list
From DBLP.
20264 papers
- ICLR (T1)CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model (opens in a new tab)
- AAAI (T1)Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation (opens in a new tab)
- Robotics Auton. Syst.GEO-SAT: A new approach for knowledge-based agent decision making (opens in a new tab)
- AIMEMissing-Aware Evolving Fuzzy Learning for MASLD Risk Prediction from Irregular Time Series (opens in a new tab)
202515 papers
- AIED"My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays (opens in a new tab)
- ACM Trans. Comput. Heal.A Hybrid Approach for Irregular-Time Series Prediction Using Electronic Health Records: An Intensive Care Unit Mortality Case Study (opens in a new tab)
- AIEDAdvancing AI Literacy in Medical Education: A Medical AI Competency Framework Development (opens in a new tab)
- AIED CompanionAI-Powered Classification of Medical Students' Professionalism Profiles (opens in a new tab)
- Educ. Inf. Technol.Analyzing the teaching and learning environments through student feedback at scale: a multi-agent LLMs framework (opens in a new tab)
- IJCNNCausal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery (opens in a new tab)
- AAAI (T1)Developing a Postgraduate Program for AI in Medicine with Kern's Six-Step Curriculum Development Approach in Singapore (opens in a new tab)
- Comput. Appl. Eng. Educ.Exploring Undergraduate Students' Computational Thinking Skills Across Engineering Design Processes (opens in a new tab)
- IEEE J. Biomed. Health InformaticsIntegrating Clinical Insights via Hierarchical Inference to Predict Conditions in Bilaterally Symmetric Organs (opens in a new tab)
- HCIInteractive Sensemaking with SurveySense: Enhancing Survey Insights Through Human-AI Collaboration on an LLM-Based Platform (opens in a new tab)
- IJCNNPosition Paper: Integrating Explainability and Uncertainty Estimation in Medical AI (opens in a new tab)
- CHI Extended AbstractsThe Effect of Explainable AI and Uncertainty Quantification on Medical Students' Perspectives of Decision-Making AI: A Cancer Screening Case Study (opens in a new tab)
20246 papers
- CAIConfidence Estimation in Analyzing Intravascular Optical Coherence Tomography Images with Deep Neural Networks (opens in a new tab)
- IJCNNDynamic Modeling of Patient Vital Signs: Leveraging Markov Chain Principles with Neural Networks for Irregular Time-Series Prediction (opens in a new tab)
- ICAExploring Epistemic and Distributional Uncertainties in Algorithmic Trading Agents (opens in a new tab)
- AIMEOn Identifying Effective Investigations with Feature Finding Using Explainable AI: An Ophthalmology Case Study (opens in a new tab)
- ICDMQUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations (opens in a new tab)
- Educ. Inf. Technol.The influences of ChatGPT on undergraduate students' demonstrated and perceived interdisciplinary learning (opens in a new tab)
20236 papers
- ICTAIA Formal Introduction to Batch-Integrated Gradients for Temporal Explanations (opens in a new tab)
- AIEDA Software Platform for Evaluating Student Essays in Interdisciplinary Learning with Topic Classification Techniques (opens in a new tab)
- AIMEBatch Integrated Gradients: Explanations for Temporal Electronic Health Records (opens in a new tab)
- ICAARTChop-SAT: A New Approach to Solving SAT and Probabilistic SAT for Agent Knowledge Bases (opens in a new tab)
- BIBMCounterfactual-Integrated Gradients: Counterfactual Feature Attribution for Medical Records (opens in a new tab)
- AAMAS (T1)Probabilistic Deduction as a Probabilistic Extension of Assumption-based Argumentation (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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