Diffusion Models: A Comprehensive Survey of Methods and Applications
2023 · ACM Computing Surveys · 1,297 citations
https://doi.org/10.1145/3626235
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Shenda Hong
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Shenda Hong is an academic researcher from Peking University. The author has contributed to research in topics: ECG Monitoring and Analysis & EEG and Brain-Computer Interfaces & Machine Learning in Healthcare. The author has an h-index of 29, co-authored 188 publications.
ORCID: 0000-0001-7521-5127Papers by this author
worksDiffusion Models: A Comprehensive Survey of Methods and Applications
2022 · arXiv (Cornell University) · 150 citations
https://doi.org/10.48550/arxiv.2209.00796
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
2020 · 75 citations
https://doi.org/10.1145/3394486.3403212
Basiliximab for steroid‐refractory acute graft‐versus‐host disease: A real‐world analysis
2022 · American Journal of Hematology · 57 citations
https://doi.org/10.1002/ajh.26475
An Electrocardiogram Foundation Model Built on over 10 Million Recordings
2025 · NEJM AI · 12 citations
https://doi.org/10.1056/aioa2401033
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings
2021 · 6 citations
https://doi.org/10.1145/3442381.3449944
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