Changchang Yin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Prediction Model

Batch Mode Active Learning

Breast Ultrasound

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. CoRR (2024)
Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. CoRR (2024)
Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. KDD (2024)
Zishan Gu, Changchang Yin, Fenglin Liu, Ping Zhang
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context. CoRR (2024)
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
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CHI (2024)
Zishan Gu, Fenglin Liu, Changchang Yin, Ping Zhang
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. CoRR (2024)
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach. Knowl. Inf. Syst. 65 (4) (2023)
Seungyeon Lee, Changchang Yin, Ping Zhang
Stable clinical risk prediction against distribution shift in electronic health records. Patterns 4 (9) (2023)
Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CoRR (2023)
Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. CoRR (2022)
Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. KDD (2022)
Changchang Yin, Sayoko E. Moroi, Ping Zhang
Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM. KDD (2022)
Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun
Contrastive Attention for Automatic Chest X-ray Report Generation. ACL/IJCNLP (Findings) (2021)
Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun
Contrastive Attention for Automatic Chest X-ray Report Generation. CoRR (2021)
Dongdong Zhang, Changchang Yin, Katherine M. Hunold, Xiaoqian Jiang, Jeffrey M. Caterino, Ping Zhang
An interpretable deep-learning model for early prediction of sepsis in the emergency department. Patterns 2 (2) (2021)
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. ICDM (2021)
Zicong Zhang, Changchang Yin, Ping Zhang
Temporal Clustering with External Memory Network for Disease Progression Modeling. ICDM (2021)
Zicong Zhang, Changchang Yin, Ping Zhang
Temporal Clustering with External Memory Network for Disease Progression Modeling. CoRR (2021)
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. CoRR (2021)
Yuanfang Guan, Hongyang Li, Daiyao Yi, Dongdong Zhang, Changchang Yin, Keyu Li, Ping Zhang
A survival model generalized to regression learning algorithms. Nat. Comput. Sci. 1 (6) (2021)
Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang
Combining structured and unstructured data for predictive models: a deep learning approach. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang
An interpretable risk prediction model for healthcare with pattern attention. BMC Medical Informatics Decis. Mak. (11) (2020)
Ruoqi Liu, Changchang Yin, Ping Zhang
Estimating Individual Treatment Effects with Time-Varying Confounders. ICDM (2020)
Changchang Yin, Xuezhen Cheng, Xilu Liu, Meng Zhao
Identification and Classification of Atmospheric Particles Based on SEM Images Using Convolutional Neural Network with Attention Mechanism. Complex. 2020 (2020)
Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang
Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. KDD (2020)
Zicong Zhang, Kimerly A. Powell, Changchang Yin, Shilei Cao, Dani Gonzalez, Yousef Hannawi, Ping Zhang
Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation. CoRR (2020)
Changchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, Qinghua Zheng
Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network. ICDM (2019)
Xianli Zhang, Yinbin Zhang, Buyue Qian, Xiaotong Liu, Xiaoyu Li, Xudong Wang, Changchang Yin, Xin Lv, Lingyun Song, Liang Wang
Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture. IWBBIO (1) (2019)
Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng
KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction. ICDM (2019)
Feiqian Wang, Xiaotong Liu, Buyue Qian, Litao Ruan, Rongjian Zhao, Changchang Yin, Na Yuan, Rong Wei, Xin Ma, Jishang Wei
Spatial Attention Lesion Detection on Automated Breast Ultrasound. IWBBIO (1) (2019)
Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. CoRR (2019)
Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang
Domain Knowledge Guided Deep Learning with Electronic Health Records. ICDM (2019)
Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson
Knowledge Guided Short-Text Classification for Healthcare Applications. ICDM (2017)
Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson
Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. ICDM (2017)
Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. ICDM (2016)