Xiang Li - RankMe

57 papers A* 5A 2C 1Misc 6Journal 7Unranked 36

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	GRMI: Graph Representation Learning of Multimodal Data with Incompleteness. DASFAA (3) Xian Xu, Xiao Xu, Xiang Li, Guotong Xie
2023	—	`conf`	Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China. ISAIMS Lan Wei, Ye Li, Jianying Guo, Xiang Li, Shujiang Mei, Yongsheng Wu, Guotong Xie, Tiejian Feng
2021	J	`jnl`	ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries. J. Heal. Informatics Res. Yingxue Li, Wenxiao Jia, Junmei Wang, Jianying Guo, Qin Liu, Xiang Li, Guotong Xie, Fei Wang
2021	J	`jnl`	An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19. J. Biomed. Informatics Tiange Chen, Siwan Huang, Guanqiao Li, Yuan Zhang, Ye Li, Jinyi Zhu, Xuanling Shi, Xiang Li, Guotong Xie, Linqi Zhang
2021	A*	`conf`	BaT: Beat-aligned Transformer for Electrocardiogram Classification. ICDM Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian
2021	A*	`conf`	Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. ICDM Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang
2021	—	`conf`	Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network. BIBM Xiaoshuang Liu, Xian Xu, Xiao Xu, Xiang Li, Guotong Xie
2020	Misc	`conf`	A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation. AMIA Yanni Kang, Xiaoyu Jia, Yiying Hu, Jianying Guo, Xiang Li, Guo Tong Xie, Kaifei Wang
2020	J	`jnl`	A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data. J. Heal. Informatics Res. Xiao Xu, Xiaoshuang Liu, Yanni Kang, Xian Xu, Junmei Wang, Yuyao Sun, Quanhe Chen, Xiaoyu Jia, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie
2020	Misc	`conf`	An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy. AMIA Yingxue Li, Tingyu Chen, Tiange Chen, Xiang Li, Caihong Zeng, Zhihong Liu, Guotong Xie
2020	—	`conf`	DeepComp: Which Competing Event Will Hit the Patient First? BIBM Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong, Changsheng Ma, Fei Wang, Guotong Xie
2020	—	`conf`	Estimating the number of imported COVID-19 risks by traffic from other districts using population mobility data. ICHI Xiaoshuang Liu, Xiao Xu, Xiang Li, Guotong Xie
2019	—	`conf`	Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features. ICHI Xiao Xu, Junmei Wang, Xian Xu, Yuyao Sun, Quanhe Chen, Xiang Li, Guotong Xie
2019	—	`conf`	IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II. ICHI Xiaoshuang Liu, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie
2019	—	`conf`	Inpatient2Vec: Medical Representation Learning for Inpatients. BIBM Ying Wang, Xiao Xu, Tao Jin, Xiang Li, Guotong Xie, Jianmin Wang
2019	—	`conf`	Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network. ICHI Wenxiao Jia, Xiang Li, Kewei Tan, Guotong Xie
2019	—	`conf`	TASP: A Time-Phased Model for Sepsis Prediction. CinC Xiang Li, Yanni Kang, Xiaoyu Jia, Junmei Wang, Guotong Xie
2019	—	`conf`	Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation. ICHI Yanni Kang, Xiaoyu Jia, Xiang Li, Guotong Xie
2018	J	`jnl`	Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. CoRR Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li
2018	Misc	`conf`	Group-Based Trajectory Analysis of HIV-1 Patients. AMIA Yiying Hu, Xiang Li, Wenqing Lei, Guotong Xie
2018	A*	`conf`	Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. IJCAI Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
2018	—	`conf`	Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data. MIE Zhi Qiao, Ning Sun, Xiang Li, Eryu Xia, Shiwan Zhao, Yong Qin
2018	—	`conf`	Using Model-Based Recursive Partitioning for Treatment-Subgroup Interactions Detection in Real-World Data: A Myocardial Infarction Case Study. MIE Tiange Chen, Xiang Li, Jingang Yang, Jingyi Hu, Meilin Xu, Yong Qin, Yuejin Yang
2017	—	`conf`	Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. MedInfo Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li
2017	Misc	`conf`	Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. AMIA Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie
2017	—	`conf`	Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. MedInfo Jing Mei, Shiwan Zhao, Feng Jin, Lingxiao Zhang, Haifeng Liu, Xiang Li, Guotong Xie, Xuejun Li, Meilin Xu
2017	J	`jnl`	Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. CoRR Jing Mei, Eryu Xia, Xiang Li, Guotong Xie
2017	—	`conf`	Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. MedInfo Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu
2017	—	`conf`	Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients. MedInfo Shijing Guo, Xiang Li, Xin Du, Haifeng Liu, Guotong Xie
2017	—	`conf`	Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. CRI Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang
2017	—	`conf`	Lung nodule malignancy prediction using multi-task convolutional neural network. Computer-Aided Diagnosis Xiuli Li, Yueying Kao, Wei Shen, Xiang Li, Guotong Xie
2017	C	`conf`	Natural language description of remote sensing images based on deep learning. IGARSS Xiangrong Zhang, Xiang Li, Jinliang An, Li Gao, Biao Hou, Chen Li
2017	—	`conf`	Personal Health Self-Management in a Data Perspective. MedInfo Yiqin Yu, Xiang Li, Gang Hu, Haifeng Liu, Jing Mei, Yuan Ni, Guoyu Tang, Guotong Xie, Weiming Xu
2017	—	`conf`	Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. MedInfo Haifeng Liu, Xiang Li, Guotong Xie, Xin Du, Ping Zhang, Chengming Gu, Jingyi Hu
2017	A*	`conf`	TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang
2017	—	`conf`	Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients. MedInfo Xiang Li, Haifeng Liu, Jingang Yang, Guotong Xie, Meilin Xu, Yuejin Yang
2016	—	`conf`	Building Evidence Graph for Clinical Decision Support. ISWC (Posters & Demos) Jing Mei, Wen Sun, Jing Li, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie
2016	Misc	`conf`	Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. AMIA Xiang Li, Haifeng Liu, Xin Du, Ping Zhang, Gang Hu, Guo Tong Xie, Shijing Guo, Meilin Xu, Xiaoping Xie
2016	A*	`conf`	Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie
2016	—	`conf`	Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. MIE Xiang Li, Haifeng Liu, Xin Du, Gang Hu, Guotong Xie, Ping Zhang
2015	—	`conf`	A Decision Fusion Framework for Treatment Recommendation Systems. MedInfo Jing Mei, Haifeng Liu, Xiang Li, Guo Tong Xie, Yiqin Yu
2015	—	`conf`	Analysis of Care Pathway Variation Patterns in Patient Records. MIE Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang
2015	Misc	`conf`	Building Structured Personal Health Records from Photographs of Printed Medical Records. AMIA Xiang Li, Gang Hu, Xiaofei Teng, Guotong Xie
2015	A	`conf`	Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. BPM Yiqin Yu, Xiang Li, Haifeng Liu, Jing Mei, Nirmal Mukhi, Vatche Ishakian, Guotong Xie, Geetika T. Lakshmanan, Mike Marin
2015	—	`conf`	Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. MedInfo Xiang Li, Haifeng Liu, Jing Mei, Yiqin Yu, Guo Tong Xie
2015	—	`conf`	Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. MIE Jing Mei, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie
2015	—	`conf`	Synthesizing Analytic Evidence to Refine Care Pathways. MIE Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu
2014	—	`conf`	Automatic Variance Analysis of Multistage Care Pathways. MIE Xiang Li, Haifeng Liu, Shilei Zhang, Jing Mei, Guotong Xie, Yiqin Yu, Jing Li, Geetika T. Lakshmanan
2014	—	`conf`	Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu
2014	—	`conf`	Embracing case management for computerization of care pathways. MIE Jing Mei, Jing Li, Yiqin Yu, Xiang Li, Haifeng Liu, Guotong Xie
2014	A	`conf`	Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway. CIKM Haifeng Liu, Yang Liu, Xiang Li, Guo Tong Xie, Geetika T. Lakshmanan
2013	—	`conf`	An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques. MedInfo Haifeng Liu, Guo Tong Xie, Jing Mei, Weijia Shen, Wen Sun, Xiang Li
2013	—	`conf`	Mining Information Dependency in Outpatient Encounters for Chronic Disease Care. MedInfo Wen Sun, Weijia Shen, Xiang Li, Feng Cao, Yuan Ni, Haifeng Liu
2013	—	`conf`	SPOCS : A Smarter Point of Care System for Coordinated Chronic Disease Management. MedInfo Feng Cao, Yuan Ni, Weijia Shen, Wen Sun, Xiang Li, Tao Zheng
2013	—	`conf`	Using Data Mining Techniques on Discovering Physician Practice Patterns Regarding to Medication Prescription - An Exploratory Study. MedInfo Jianzhou Feng, Weijia Shen, Feng Cao, Yuan Ni, Peng Cai, Wen Sun, Xiang Li
2011	J	`jnl`	Performance-driven animation of hand-drawn cartoon faces. Comput. Animat. Virtual Worlds Jun Xu, Xiang Li, Yangchun Ren, Weidong Geng
2010	J	`jnl`	Animating cartoon faces by multi-view drawings. Comput. Animat. Virtual Worlds Xiang Li, Jun Xu, Yangchun Ren, Weidong Geng