| 2026 | CHI | Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care. | Bingsheng Yao, Menglin Zhao, Zhan Zhang, Pengqi Wang, Emma G. Chester, Changchang Yin, Tianshi Li, Varun Mishra, Lace M. K. Padilla, Odysseas Chatzipanagiotou, Timothy Pawlik, Ping Zhang, Weidan Cao, Dakuo Wang |
| 2025 | AAAI | Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm. | Thai-Hoang Pham, Yuanlong Wang, Changchang Yin, Xueru Zhang, Ping Zhang |
| 2025 | CHI | 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, Daniel Addison, Ping Zhang, Dakuo Wang |
| 2025 | KDD | SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors. | Yuanlong Wang, Pengqi Wang, Changchang Yin, Ping Zhang |
| 2025 | KDD | 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 |
| 2024 | CHI | 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 |
| 2024 | IJCAI | Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. | Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang |
| 2024 | KDD | SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. | Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang |
| 2022 | KDD | Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. | Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang |
| 2022 | KDD | Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM. | Changchang Yin, Sayoko E. Moroi, Ping Zhang |
| 2021 | ACL | Contrastive Attention for Automatic Chest X-ray Report Generation. | Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun |
| 2021 | ICDM | Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning. | Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang |
| 2021 | ICDM | Temporal Clustering with External Memory Network for Disease Progression Modeling. | Zicong Zhang, Changchang Yin, Ping Zhang |
| 2020 | ICDM | Estimating Individual Treatment Effects with Time-Varying Confounders. | Ruoqi Liu, Changchang Yin, Ping Zhang |
| 2020 | KDD | Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. | Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang |
| 2019 | ICDM | 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 |
| 2019 | ICDM | Domain Knowledge Guided Deep Learning with Electronic Health Records. | Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang |
| 2019 | ICDM | KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction. | Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng |
| 2017 | ICDM | Knowledge Guided Short-Text Classification for Healthcare Applications. | Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson |
| 2017 | ICDM | Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. | Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson |
| 2016 | ICDM | Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. | Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang |