A5004514673- Bayesian Modeling and Causal Inference
- Ethics and Social Impacts of AI
- Adversarial Robustness in Machine Learning
- Ophthalmology and Eye Disorders
- Data Quality and Management
- Cerebral Venous Sinus Thrombosis
- Artificial Intelligence in Healthcare and Education
- Explainable Artificial Intelligence (XAI)
- Meta-analysis and systematic reviews
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Traditional Chinese Medicine Studies
- Semantic Web and Ontologies
- Child Abuse and Related Trauma
- Ocular Diseases and Behçet’s Syndrome
Fudan University
2024-2025
Zhejiang Chinese Medical University
2025
Princeton University
2023-2024
The Third Affiliated Hospital of Zhejiang Chinese Medical University
2022
Ethical AI has become increasingly important, and it been attracting attention from academia industry, due to its increased popularity in real-world applications with fairness concerns. It also places fundamental importance on ethical considerations determining legitimate illegitimate uses of AI. Organizations that apply have clearly stated well-defined review processes ensure adherence legal guidelines. Therefore, the wave research at intersection data mining machine learning influenced...
Uncertainty reasoning and quantification play a critical role in decision making across various domains, prompting increased attention from both academia industry. As real-world applications become more complex data-driven, effectively handling uncertainty becomes paramount for accurate reliable making. This workshop focuses on the topics of It provides platform experts researchers diverse backgrounds to exchange ideas cutting-edge techniques challenges this field. The interdisciplinary...
<title>Abstract</title> Background This case presents a rare form of thyroid-associated ophthalmopathy with idiopathic choroidal folds, unlinked to optic neuropathy—an unusual finding in thyroid-related eye disease. Instead, bilateral nuclear cataracts and lens dislocation were identified as the primary causes vision loss, emphasizing importance considering multiple, less common contributors such cases. The decision begin cataract surgery exemplifies tailored, effective approach...
For example, in machine translation tasks, to achieve bidirectional between two languages, the source corpus is often used as target corpus, which involves training of models with opposite directions. The question one can adapt most quickly a domain shift significant importance many fields. Specifically, consider an original distribution p that changes due unknown intervention, resulting modified p*. In aligning p*, several factors affect adaptation rate, including causal dependencies...
Introduction As populations age, osteoporosis has become a hot topic of global public concern. The beneficial effects traditional Chinese exercises on the musculoskeletal system have been demonstrated. However, previous research findings are inconsistent, and it is unclear which type exercise its frequency duration best effect osteoporosis. This study aims to investigate most appropriate modality for people with through systematic evaluation network meta-analysis guide clinical practice....
Uncertainty reasoning and quantification play a critical role in decision making across various domains, prompting increased attention from both academia industry. As real-world applications become more complex data-driven, effectively handling uncertainty becomes paramount for accurate reliable making. This workshop focuses on the topics of It provides platform experts researchers diverse backgrounds to exchange ideas cutting-edge techniques challenges this field. The interdisciplinary...
Ethical AI has become increasingly important, and it been attracting attention from academia industry, due to its increased popularity in real-world applications with fairness concerns. It also places fundamental importance on ethical considerations determining legitimate illegitimate uses of AI. Organizations that apply have clearly stated well-defined review processes ensure adherence legal guidelines. Therefore, the wave research at intersection data mining machine learning influenced...