Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. - Zihao Zhu; Changchang Yin; Buyue Qian; Yu Cheng; Jishang Wei; Fei Wang 001 (ICDM, 2016)

Knowledge Guided Short-Text Classification for Healthcare Applications. - Shilei Cao 001; Buyue Qian; Changchang Yin; Xiaoyu Li 007; Jishang Wei; Qinghua Zheng; Ian Davidson (ICDM, 2017)

Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. - Changchang Yin; Buyue Qian; Shilei Cao 001; Xiaoyu Li 007; Jishang Wei; Qinghua Zheng; Ian Davidson (ICDM, 2017)

Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network. - Changchang Yin; Buyue Qian; Jishang Wei; Xiaoyu Li 007; Xianli Zhang; Yang Li 139; Qinghua Zheng (ICDM, 2019)

Domain Knowledge Guided Deep Learning with Electronic Health Records. - Changchang Yin; Rongjian Zhao; Buyue Qian; Xin Lv; Ping Zhang 016 (ICDM, 2019)

KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction. - Xianli Zhang; Buyue Qian; Yang Li 139; Changchang Yin; Xudong Wang; Qinghua Zheng (ICDM, 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 (IWBBIO (1), 2019)

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture. - Xianli Zhang; Yinbin Zhang; Buyue Qian; Xiaotong Liu; Xiaoyu Li 007; Xudong Wang; Changchang Yin; Xin Lv; Lingyun Song; Liang Wang (IWBBIO (1), 2019)

Estimating Individual Treatment Effects with Time-Varying Confounders. - Ruoqi Liu; Changchang Yin; Ping Zhang 016 (ICDM, 2020)

Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. - Changchang Yin; Ruoqi Liu; Dongdong Zhang; Ping Zhang 016 (KDD, 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)

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation. - Zicong Zhang; Kimerly A. Powell; Changchang Yin; Shilei Cao 001; Dani Gonzalez; Yousef Hannawi; Ping Zhang 016 (CoRR, 2020)

An interpretable risk prediction model for healthcare with pattern attention. - Sundreen Asad Kamal; Changchang Yin; Buyue Qian; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2020)

Combining structured and unstructured data for predictive models: a deep learning approach. - Dongdong Zhang; Changchang Yin; Jucheng Zeng; Xiaohui Yuan; Ping Zhang 016 (BMC Medical Informatics Decis. Mak., 2020)

Contrastive Attention for Automatic Chest X-ray Report Generation. - Fenglin Liu; Changchang Yin; Xian Wu 001; Shen Ge; Ping Zhang 016; Xu Sun 001 (ACL/IJCNLP (Findings), 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 016 (ICDM, 2021)

Temporal Clustering with External Memory Network for Disease Progression Modeling. - Zicong Zhang; Changchang Yin; Ping Zhang 016 (ICDM, 2021)

A survival model generalized to regression learning algorithms. - Yuanfang Guan; Hongyang Li; Daiyao Yi; Dongdong Zhang; Changchang Yin; Keyu Li; Ping Zhang 016 (Nat. Comput. Sci., 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 016 (Patterns, 2021)

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. - Changchang Yin; Ruoqi Liu; Jeffrey M. Caterino; Ping Zhang 016 (KDD, 2022)

Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM. - Changchang Yin; Sayoko E. Moroi; Ping Zhang 016 (KDD, 2022)

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 016 (Knowl. Inf. Syst., 2023)

Stable clinical risk prediction against distribution shift in electronic health records. - Seungyeon Lee 002; Changchang Yin; Ping Zhang 016 (Patterns, 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 003; Bingsheng Yao; Melanie Tory; Lace M. K. Padilla; Jeffrey M. Caterino; Ping Zhang 016; Dakuo Wang (CHI, 2024)

Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. - Jiayuan Chen 003; Changchang Yin; Yuanlong Wang; Ping Zhang 016 (IJCAI, 2024)

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. - Changchang Yin; Pin-Yu Chen; Bingsheng Yao; Dakuo Wang; Jeffrey M. Caterino; Ping Zhang 016 (KDD, 2024)

Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. - Zishan Gu; Fenglin Liu; Changchang Yin; Ping Zhang 016 (CoRR, 2024)

MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context. - Zishan Gu; Changchang Yin; Fenglin Liu; Ping Zhang 016 (CoRR, 2024)

Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity. - Siyi Wu; Weidan Cao; Shihan Fu; Bingsheng Yao; Ziqi Yang; Changchang Yin; Varun Mishra 001; Daniel Addison; Ping Zhang 016; Dakuo Wang (CoRR, 2024)

CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity. - Siyi Wu; Weidan Cao; Shihan Fu; Bingsheng Yao; Ziqi Yang; Changchang Yin; Varun Mishra 001; Daniel Addison; Ping Zhang 016; Dakuo Wang (CoRR, 2024)

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. - Thai-Hoang Pham; Yuanlong Wang; Changchang Yin; Xueru Zhang; Ping Zhang 016 (AAAI, 2025)

CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Prediction of Cancer Treatment-Induced Cardiotoxicity. - Siyi Wu; Weidan Cao; Shihan Fu; Bingsheng Yao; Ziqi Yang; Changchang Yin; Varun Mishra 001; Daniel Addison; Ping Zhang 016; Dakuo Wang (CHI, 2025)

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction. - Changchang Yin; Shihan Fu; Bingsheng Yao; Thai-Hoang Pham; Weidan Cao; Dakuo Wang; Jeffrey M. Caterino; Ping Zhang 016 (KDD (1), 2025)

More Modality, More AI: Exploring Design Opportunities of AI-Based Multi-modal Remote Monitoring Technologies for Early Detection of Mental Health Sequelae in Youth Concussion Patients. - Bingsheng Yao; Menglin Zhao; Yuling Sun; Weidan Cao; Changchang Yin; Stephen S. Intille; Xuhai Xu; Ping Zhang 016; Jingzhen Yang; Dakuo Wang (CoRR, 2025)

WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch. - Ying Lei; Yancheng Cao; Will Wang; Yuanzhe Dong; Changchang Yin; Weidan Cao; Ping Zhang 016; Jingzhen Yang; Bingsheng Yao; Yifan Peng 002; Chunhua Weng; Randy Auerbach; et al. (CoRR, 2025)

Biomedical Foundation Model: A Survey. - Xiangrui Liu; Yuanyuan Zhang; Yingzhou Lu; Changchang Yin; Xiaoling Hu; Xiaoou Liu; Lulu Chen; Sheng Wang; Alexander Rodriguez; Huaxiu Yao; Yezhou Yang; Ping Zhang 016; et al. (CoRR, 2025)

Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation. - Changchang Yin; Hong-You Chen; Wei-Lun Chao; Ping Zhang 016 (CoRR, 2025)

SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors. - Yuanlong Wang; Pengqi Wang; Changchang Yin; Ping Zhang (CoRR, 2025)

SurgWound-Bench: A Benchmark for Surgical Wound Diagnosis. - Jiahao Xu; Changchang Yin; Odysseas Chatzipanagiotou; Diamantis Tsilimigras; Kevin Clear; Bingsheng Yao; Dakuo Wang; Timothy Pawlik; Ping Zhang 016 (CoRR, 2025)