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2020 – today
- 2024
[c18]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: 445:1-445:18- [c17]Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang:
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. IJCAI 2024: 5763-5771 - [c16]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: 6158-6168 - [i13]Jiayuan Chen, Changchang Yin, Yuanlong Wang, Ping Zhang:
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records. CoRR abs/2405.03943 (2024) - [i12]Zishan Gu, Fenglin Liu, Changchang Yin, Ping Zhang:
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. CoRR abs/2405.11640 (2024) - [i11]Zishan Gu, Changchang Yin, Fenglin Liu, Ping Zhang:
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context. CoRR abs/2407.02730 (2024) - [i10]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 abs/2407.16999 (2024) - [i9]Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra, Daniel Addison, Ping Zhang, Dakuo Wang:
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity. CoRR abs/2408.03586 (2024) - [i8]Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra, Daniel Addison, Ping Zhang, Dakuo Wang:
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity. CoRR abs/2410.04592 (2024) - 2023
- [j7]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): 1487-1521 (2023) - [j6]Seungyeon Lee, Changchang Yin, Ping Zhang:
Stable clinical risk prediction against distribution shift in electronic health records. Patterns 4(9): 100828 (2023) - [i7]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. CoRR abs/2309.12368 (2023) - 2022
- [c15]Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang:
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. KDD 2022: 2316-2326 - [c14]Changchang Yin, Sayoko E. Moroi, Ping Zhang:
Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM. KDD 2022: 4402-4412 - [i6]Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang:
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. CoRR abs/2205.09852 (2022) - 2021
- [j5]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): 433-440 (2021) - [j4]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): 100196 (2021) - [c13]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: 269-280 - [c12]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: 499-508 - [c11]Zicong Zhang, Changchang Yin, Ping Zhang:
Temporal Clustering with External Memory Network for Disease Progression Modeling. ICDM 2021: 956-965 - [i5]Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun:
Contrastive Attention for Automatic Chest X-ray Report Generation. CoRR abs/2106.06965 (2021) - [i4]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 abs/2109.12276 (2021) - [i3]Zicong Zhang, Changchang Yin, Ping Zhang:
Temporal Clustering with External Memory Network for Disease Progression Modeling. CoRR abs/2109.14147 (2021) - 2020
- [j3]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: 9673724:1-9673724:13 (2020) - [j2]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): 280 (2020) - [j1]Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang:
An interpretable risk prediction model for healthcare with pattern attention. BMC Medical Informatics Decis. Mak. 20-S(11): 307 (2020) - [c10]Ruoqi Liu, Changchang Yin, Ping Zhang:
Estimating Individual Treatment Effects with Time-Varying Confounders. ICDM 2020: 382-391 - [c9]Changchang Yin, Ruoqi Liu, Dongdong Zhang, Ping Zhang:
Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder. KDD 2020: 862-872 - [i2]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 abs/2010.09586 (2020)
2010 – 2019
- 2019
- [c8]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: 728-737 - [c7]Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang:
Domain Knowledge Guided Deep Learning with Electronic Health Records. ICDM 2019: 738-747 - [c6]Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng:
KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction. ICDM 2019: 1492-1497 - [c5]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: 204-215 - [c4]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: 216-227 - [i1]Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. CoRR abs/1902.03376 (2019) - 2017
- [c3]Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson:
Knowledge Guided Short-Text Classification for Healthcare Applications. ICDM 2017: 31-40 - [c2]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: 575-584 - 2016
- [c1]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: 749-758
Coauthor Index
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