Changchang Yin
Orcid: 0000-0002-6540-6365
According to our database1,
Changchang Yin
authored at least 32 papers
between 2016 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.
CoRR, January, 2025
2024
CoRR, 2024
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity.
CoRR, 2024
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity.
CoRR, 2024
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context.
CoRR, 2024
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning.
CoRR, 2024
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
2023
Stable clinical risk prediction against distribution shift in electronic health records.
Patterns, September, 2023
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach.
Knowl. Inf. Syst., April, 2023
2022
Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
An interpretable deep-learning model for early prediction of sepsis in the emergency department.
Patterns, 2021
Nat. Comput. Sci., 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Combining structured and unstructured data for predictive models: a deep learning approach.
BMC Medical Informatics Decis. Mak., 2020
BMC Medical Informatics Decis. Mak., 2020
CoRR, 2020
Identification and Classification of Atmospheric Particles Based on SEM Images Using Convolutional Neural Network with Attention Mechanism.
Complex., 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
2016
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016