Changchang Yin

According to our database, Changchang Yin authored at least 24 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Stable clinical risk prediction against distribution shift in electronic health records.

Seungyeon Lee, Changchang Yin, Ping Zhang

Patterns, September, 2023

A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach.

Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang

Knowl. Inf. Syst., April, 2023

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis.

Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang

CoRR, 2023

2022

Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM.

Changchang Yin, Sayoko E. Moroi, Ping Zhang

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.

Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang

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.

Dongdong Zhang, Changchang Yin, Katherine M. Hunold, Xiaoqian Jiang, Jeffrey M. Caterino, Ping Zhang

Patterns, 2021

A survival model generalized to regression learning algorithms.

Yuanfang Guan, Hongyang Li, Daiyao Yi, Dongdong Zhang, Changchang Yin, Keyu Li, Ping Zhang

Nat. Comput. Sci., 2021

Temporal Clustering with External Memory Network for Disease Progression Modeling.

Zicong Zhang, Changchang Yin, Ping Zhang

Proceedings of the IEEE International Conference on Data Mining, 2021

Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning.

Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang

Proceedings of the IEEE International Conference on Data Mining, 2021

Contrastive Attention for Automatic Chest X-ray Report Generation.

Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun

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.

Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang

BMC Medical Informatics Decis. Mak., 2020

An interpretable risk prediction model for healthcare with pattern attention.

Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang

BMC Medical Informatics Decis. Mak., 2020

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation.

Zicong Zhang, Kimerly A. Powell, Changchang Yin, Shilei Cao, Dani Gonzalez, Yousef Hannawi, Ping Zhang

CoRR, 2020

Identification and Classification of Atmospheric Particles Based on SEM Images Using Convolutional Neural Network with Attention Mechanism.

Changchang Yin, Xuezhen Cheng, Xilu Liu, Meng Zhao

Complex., 2020

Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder.

Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Estimating Individual Treatment Effects with Time-Varying Confounders.

Ruoqi Liu, Changchang Yin, Ping Zhang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture.

Xianli Zhang, Yinbin Zhang, Buyue Qian, Xiaotong Liu, Xiaoyu Li, Xudong Wang, Changchang Yin, Xin Lv, Lingyun Song, Liang Wang

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Spatial Attention Lesion Detection on Automated Breast Ultrasound.

Feiqian Wang, Xiaotong Liu, Buyue Qian, Litao Ruan, Rongjian Zhao, Changchang Yin, Na Yuan, Rong Wei, Xin Ma, Jishang Wei

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction.

Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Domain Knowledge Guided Deep Learning with Electronic Health Records.

Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network.

Changchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, Qinghua Zheng

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017

Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation.

Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Knowledge Guided Short-Text Classification for Healthcare Applications.

Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding.

Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016