Seminar Spring 2026
- Theme: AI for Health
- Instructor: Prof. Chenyang Lu
- Semester: Spring 2026
- Time: Wednesday at 8:30 am
- Location: McKelvey 1020
- Guidelines:
- Recommended sources: NeurIPS ([1]), ICML ([2]), AAAI ([3]), SIGKDD ([4]), IJCAI ([5]), IMWUT ([6]), HEALTH ([7]), Digital Medicine ([8]), Lancet Digital Health ([9]), NEJM AI ([10])
Presentation Schedule
---Jan 14 ---
Liuyi
GLOSS: Group of LLMs for Open-ended Sensemaking of Passive Sensing Data for Health and Wellbeing
https://dl.acm.org/doi/epdf/10.1145/3749474
---Jan 21 ---
Ben
A multimodal sleep foundation model for disease prediction
https://www.nature.com/articles/s41591-025-04133-4
---Jan 28 ---
Patrick
A Foundation Transformer Model with Self-Supervised Learning for ECG-Based Assessment of Cardiac and Coronary Function
https://ai.nejm.org/doi/10.1056/AIoa2500164
---Feb 4 ---
Shengxin
Vgent: Graph-based retrieval-reasoning-augmented generation for long video understanding
https://arxiv.org/pdf/2510.14032
---Feb 11 ---
Ziqi
the foundational wearable models
https://arxiv.org/pdf/2507.00191 https://research.google/blog/sensorlm-learning-the-language-of-wearable-sensors/
---Feb 18 ---
Sihang Zeng
---Feb 25 ---
Skipped
---Mar 4 ---
Skipped
---Mar 11 ---
Allen
---Mar 18 ---
Claire
Conformal selective prediction with cost aware deferral for safe clinical triage under distribution shift. Sci Rep (2026). https://doi.org/10.1038/s41598-026-40637-w
---Mar 25 ---
Cancelled
---Apr 1 ---
Peiqi (Oral Exam Practices)
Paper 1: A visual–language foundation model for pathology image analysis using medical Twitter (https://www.nature.com/articles/s41591-023-02504-3)
Paper 2: CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10655627)
Paper 3: A multimodal whole-slide foundation model for pathology (https://www.nature.com/articles/s41591-025-03982-3)
---Apr 8 ---
Zichen (Oral Exam Practices)
Paper 1: Genome-wide prediction of disease variant effects with a deep protein language model (https://www.nature.com/articles/s41588-023-01465-0)
Paper 2: Accurate proteome-wide missense variant effect prediction with AlphaMissense (https://www.science.org/doi/10.1126/science.adg7492)
Paper 3: A disease-specific language model for variant pathogenicity in cardiac and regulatory genomics (https://www.nature.com/articles/s42256-025-01016-8)
---Apr 15---
Hangyue
H&E to IHC virtual staining methods in breast cancer: an overview and benchmarking
https://www.nature.com/articles/s41746-025-01741-9
---Apr 22---
Liuyi
Previous Semesters
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