Animating cartoon faces by multi-view drawings. - Xiang Li 013; Jun Xu; Yangchun Ren; Weidong Geng (Comput. Animat. Virtual Worlds, 2010)

Performance-driven animation of hand-drawn cartoon faces. - Jun Xu; Xiang Li 013; Yangchun Ren; Weidong Geng (Comput. Animat. Virtual Worlds, 2011)

SPOCS : A Smarter Point of Care System for Coordinated Chronic Disease Management. - Feng Cao; Yuan Ni; Weijia Shen; Wen Sun; Xiang Li 013; Tao Zheng (MedInfo, 2013)

Using Data Mining Techniques on Discovering Physician Practice Patterns Regarding to Medication Prescription - An Exploratory Study. - Jianzhou Feng 001; Weijia Shen; Feng Cao; Yuan Ni; Peng Cai; Wen Sun; Xiang Li 013 (MedInfo, 2013)

An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques. - Haifeng Liu 005; Guo Tong Xie; Jing Mei; Weijia Shen; Wen Sun; Xiang Li 013 (MedInfo, 2013)

Mining Information Dependency in Outpatient Encounters for Chronic Disease Care. - Wen Sun; Weijia Shen; Xiang Li 013; Feng Cao; Yuan Ni; Haifeng Liu 005 (MedInfo, 2013)

Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway. - Haifeng Liu 005; Yang Liu 021; Xiang Li 013; Guo Tong Xie; Geetika T. Lakshmanan (CIKM, 2014)

Automatic Variance Analysis of Multistage Care Pathways. - Xiang Li 013; Haifeng Liu 005; Shilei Zhang; Jing Mei; Guotong Xie; Yiqin Yu; Jing Li; Geetika T. Lakshmanan (MIE, 2014)

Embracing case management for computerization of care pathways. - Jing Mei; Jing Li; Yiqin Yu; Xiang Li 013; Haifeng Liu 005; Guotong Xie (MIE, 2014)

Care Pathway Workbench: Evidence Harmonization from Guideline and Data. - Yiqin Yu; Haifeng Liu 005; Jing Li; Xiang Li 013; Jing Mei; Guotong Xie; Adam Perer; Fei Wang 001; Jianying Hu (MIE, 2014)

Building Structured Personal Health Records from Photographs of Printed Medical Records. - Xiang Li 013; Gang Hu 001; Xiaofei Teng; Guotong Xie (AMIA, 2015)

Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. - Yiqin Yu; Xiang Li 013; Haifeng Liu 005; Jing Mei; Nirmal Mukhi; Vatche Ishakian; Guotong Xie; Geetika T. Lakshmanan; Mike Marin (BPM, 2015)

Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. - Xiang Li 013; Haifeng Liu 005; Jing Mei; Yiqin Yu; Guo Tong Xie (MedInfo, 2015)

A Decision Fusion Framework for Treatment Recommendation Systems. - Jing Mei; Haifeng Liu 005; Xiang Li 013; Guo Tong Xie; Yiqin Yu (MedInfo, 2015)

Analysis of Care Pathway Variation Patterns in Patient Records. - Xiang Li 013; Jing Mei; Haifeng Liu 005; Yiqin Yu; Guotong Xie; Jianying Hu; Fei Wang 001 (MIE, 2015)

Synthesizing Analytic Evidence to Refine Care Pathways. - Haifeng Liu 005; Xiang Li 013; Yiqin Yu; Jing Mei; Guo Tong Xie; Adam Perer; Fei Wang 001; Jianying Hu (MIE, 2015)

Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. - Jing Mei; Haifeng Liu 005; Xiang Li 013; Yiqin Yu; Guotong Xie (MIE, 2015)

Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. - Xiang Li 013; Haifeng Liu 005; Xin Du; Ping Zhang 016; Gang Hu 001; Guo Tong Xie; Shijing Guo; Meilin Xu; Xiaoping Xie (AMIA, 2016)

Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. - Lingxiao Zhang; Xiang Li 013; Haifeng Liu 005; Jing Mei; Gang Hu 001; Junfeng Zhao 001; Yanzhen Zou; Bing Xie; Guotong Xie (ICDM, 2016)

Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. - Xiang Li 013; Haifeng Liu 005; Xin Du; Gang Hu 001; Guotong Xie; Ping Zhang 016 (MIE, 2016)

Building Evidence Graph for Clinical Decision Support. - Jing Mei; Wen Sun; Jing Li; Haifeng Liu 005; Xiang Li 013; Yiqin Yu; Guotong Xie (ISWC (Posters & Demos), 2016)

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. - Kai Yang; Xiang Li 013; Haifeng Liu 005; Jing Mei; Guo Tong Xie; Junfeng Zhao 001; Bing Xie; Fei Wang 001 (AAAI, 2017)

Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. - Xiang Li 013; Zhaonan Sun; Xin Du; Haifeng Liu 005; Gang Hu 001; Guotong Xie (AMIA, 2017)

Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. - Shijing Guo; Xiang Li 013; Haifeng Liu 005; Ping Zhang 016; Xin Du; Guotong Xie; Fei Wang 001 (CRI, 2017)

Natural language description of remote sensing images based on deep learning. - Xiangrong Zhang; Xiang Li 013; Jinliang An; Li Gao; Biao Hou; Chen Li 011 (IGARSS, 2017)

Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients. - Shijing Guo; Xiang Li 013; Xin Du; Haifeng Liu 005; Guotong Xie (MedInfo, 2017)

Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients. - Xiang Li 013; Haifeng Liu 005; Jingang Yang; Guotong Xie; Meilin Xu; Yuejin Yang (MedInfo, 2017)

Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. - Haifeng Liu 005; Xiang Li 013; Guotong Xie; Xin Du; Ping Zhang 016; Chengming Gu; Jingyi Hu (MedInfo, 2017)

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. - Jing Mei; Shiwan Zhao; Feng Jin; Lingxiao Zhang; Haifeng Liu 005; Xiang Li 013; Guotong Xie; Xuejun Li; Meilin Xu (MedInfo, 2017)

Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. - Eryu Xia; Haifeng Liu 005; Jing Li; Jing Mei; Xuejun Li; Enliang Xu; Xiang Li 013; Gang Hu 001; Guotong Xie; Meilin Xu (MedInfo, 2017)

Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. - Enliang Xu; Xiang Li 013; Jing Mei; Shiwan Zhao; Gang Hu 001; Eryu Xia; Haifeng Liu 005; Guotong Xie; Meilin Xu; Xuejun Li (MedInfo, 2017)

Personal Health Self-Management in a Data Perspective. - Yiqin Yu; Xiang Li 013; Gang Hu 001; Haifeng Liu 005; Jing Mei; Yuan Ni; Guoyu Tang; Guotong Xie; Weiming Xu (MedInfo, 2017)

Lung nodule malignancy prediction using multi-task convolutional neural network. - Xiuli Li; Yueying Kao; Wei Shen; Xiang Li 013; Guotong Xie (Computer-Aided Diagnosis, 2017)

Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. - Jing Mei; Eryu Xia; Xiang Li 013; Guotong Xie (CoRR, 2017)

Group-Based Trajectory Analysis of HIV-1 Patients. - Yiying Hu; Xiang Li 013; Wenqing Lei; Guotong Xie (AMIA, 2018)

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. - Zhi Qiao 007; Shiwan Zhao; Cao Xiao; Xiang Li 013; Yong Qin; Fei Wang 001 (IJCAI, 2018)

Using Model-Based Recursive Partitioning for Treatment-Subgroup Interactions Detection in Real-World Data: A Myocardial Infarction Case Study. - Tiange Chen; Xiang Li 013; Jingang Yang; Jingyi Hu; Meilin Xu; Yong Qin; Yuejin Yang (MIE, 2018)

Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data. - Zhi Qiao 007; Ning Sun; Xiang Li 013; Eryu Xia; Shiwan Zhao; Yong Qin (MIE, 2018)

Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. - Jing Mei; Shiwan Zhao; Feng Jin; Eryu Xia; Haifeng Liu 005; Xiang Li 013 (CoRR, 2018)

Inpatient2Vec: Medical Representation Learning for Inpatients. - Ying Wang; Xiao Xu; Tao Jin 001; Xiang Li 013; Guotong Xie; Jianmin Wang 001 (BIBM, 2019)

TASP: A Time-Phased Model for Sepsis Prediction. - Xiang Li 013; Yanni Kang; Xiaoyu Jia 002; Junmei Wang; Guotong Xie (CinC, 2019)

Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network. - Wenxiao Jia; Xiang Li 013; Kewei Tan; Guotong Xie (ICHI, 2019)

Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation. - Yanni Kang; Xiaoyu Jia 002; Xiang Li 013; Guotong Xie (ICHI, 2019)

IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II. - Xiaoshuang Liu; Xinyue Ma; Xiaoyan Meng; Xiang Li 013; Guotong Xie (ICHI, 2019)

Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features. - Xiao Xu; Junmei Wang; Xian Xu; Yuyao Sun; Quanhe Chen; Xiang Li 013; Guotong Xie (ICHI, 2019)

A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation. - Yanni Kang; Xiaoyu Jia 002; Yiying Hu; Jianying Guo; Xiang Li 013; Guo Tong Xie; Kaifei Wang (AMIA, 2020)

An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy. - Yingxue Li; Tingyu Chen; Tiange Chen; Xiang Li 013; Caihong Zeng; Zhihong Liu; Guotong Xie (AMIA, 2020)

DeepComp: Which Competing Event Will Hit the Patient First? - Yingxue Li; Wenxiao Jia; Yashu Kang; Tiange Chen; Xiang Li 013; Xin Du; Jianzeng Dong; Changsheng Ma; Fei Wang 001; Guotong Xie (BIBM, 2020)

Estimating the number of imported COVID-19 risks by traffic from other districts using population mobility data. - Xiaoshuang Liu; Xiao Xu; Xiang Li 013; Guotong Xie (ICHI, 2020)

A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data. - Xiao Xu; Xiaoshuang Liu; Yanni Kang; Xian Xu; Junmei Wang; Yuyao Sun; Quanhe Chen; Xiaoyu Jia 002; Xinyue Ma; Xiaoyan Meng; Xiang Li 013; Guotong Xie (J. Heal. Informatics Res., 2020)

Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network. - Xiaoshuang Liu; Xian Xu; Xiao Xu; Xiang Li 013; Guotong Xie (BIBM, 2021)

BaT: Beat-aligned Transformer for Electrocardiogram Classification. - Xiaoyu Li 007; Chen Li 011; Yuhua Wei; Yuyao Sun; Jishang Wei; Xiang Li 013; Buyue Qian (ICDM, 2021)

Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. - Xiao Xu; Xian Xu; Yuyao Sun; Xiaoshuang Liu; Xiang Li 013; Guotong Xie; Fei Wang 001 (ICDM, 2021)

An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19. - Tiange Chen; Siwan Huang; Guanqiao Li; Yuan Zhang; Ye Li; Jinyi Zhu; Xuanling Shi; Xiang Li 013; Guotong Xie; Linqi Zhang (J. Biomed. Informatics, 2021)

ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries. - Yingxue Li; Wenxiao Jia; Junmei Wang; Jianying Guo; Qin Liu; Xiang Li 013; Guotong Xie; Fei Wang 001 (J. Heal. Informatics Res., 2021)

GRMI: Graph Representation Learning of Multimodal Data with Incompleteness. - Xian Xu; Xiao Xu; Xiang Li 013; Guotong Xie (DASFAA (3), 2023)

Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China. - Lan Wei; Ye Li; Jianying Guo; Xiang Li 013; Shujiang Mei; Yongsheng Wu; Guotong Xie; Tiejian Feng (ISAIMS, 2023)