XL

Xiang Li

Also known as: Shaun

Harvard Medical School, Massachusetts General Hospital, University of Michigan, Allen Institute for Brain Science, University of Georgia

Research areas: Computer Science · Computer Vision and Pattern Recognition · Functional Brain Connectivity Studies · Topic Modeling · Advanced MRI Techniques and Applications

ORCID iD 0000-0002-9851-6376
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Employment

Education

Projects & Funding

  • Identification of Multi-modal Imaging Biomarkers for Early Prediction of MCI-AD Conversion via Multigraph Representation National Institute on Aging
    2022 - 2024
  • Deep learning Based Phenotyping and Treatment Optimization for Heart Failure with Preserved Ejection Fraction National Heart Lung and Blood Institute
    2022 - 2026
  • Study of Brain Spreading Pathways of Tau and Amyloid-Beta in (pre)clinical AD National Institute on Aging
    2017 - 2021

Publications (422)

  • ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents-Design, Evaluation, and an OpenClaw Case Study
    arXiv preprint arXiv:2608.05201 2026
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  • Agentic AI Enhances Physician Trust in Clinical Decision Making
    arXiv preprint arXiv:2606.30658 2026
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  • Cascaded 3D Diffusion Models for Whole-Body 3D 18-F FDG PET/CT Synthesis from Demographics
    Lecture Notes in Computer Science 2026 DOI: 10.1007/978-3-032-04947-6_10
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  • Conditional Masked Diffusion Language Modeling for PET/CT Impression Generation
    2026
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  • Evaluating GPT-4V for Multi-modal Medical Applications: A Comparative Study Using Open-source Datasets
    IEEE Transactions on Radiation and Plasma Medical Sciences 2026
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  • HandSplatter: Automated Digital Goniometry from Neural Rendering
    arXiv preprint arXiv:2608.09735 2026
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  • Imaging-Centered Artificial Intelligence for Precision Cancer Immunotherapy: Multimodal Biomarkers, Treatment-Effect Estimation, and Clinical Translation
    2026
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  • Interpretable agentic AI system with localized reasoning for radiology
    npj Digital Medicine 2026
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  • LiveMedBench: A Contamination-Limited Medical Benchmark for LLMs with Automated Rubric Evaluation
    Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2 2026
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  • MAPLE: Elevating Medical Reasoning from Statistical Consensus to Process-Led Alignment
    arXiv preprint arXiv:2603.08987 2026
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  • Metis AI: The Overlooked Middle Zone Between AI-Native and World-Movers
    arXiv preprint arXiv:2605.14407 2026
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  • Neuroclaw technical report
    arXiv preprint arXiv:2604.24696 2026
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  • OpenSkill: Open-World Self-Evolution for LLM Agents
    arXiv preprint arXiv:2606.06741 2026
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  • Quantum Machine Learning: Bridging Quantum Computing & Machine Learning
    Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Frontiers 2026
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  • Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis
    arXiv preprint arXiv:2609.01537 2026
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  • Real-World Privacy-Preserving Multi-Institutional Federated Learning of Large Language Models for Automated PET Impression Generation
    2026
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  • Rewarding Reasoning, Not Answers: Fixing and Bounding Test-Time Reinforcement Learning on Medical QA
    arXiv preprint arXiv:2609.16660 2026
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  • Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations
    npj Digital Medicine 2026
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  • Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations
    npj Digital Medicine 2026
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  • Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation
    arXiv preprint arXiv:2603.05873 2026
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