Hongyan Li - RankMe

112 papers A* 12A 5B 1C 9Misc 1Journal 42Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation. CoRR Jiarui Jin, Haoyu Wang, Xingliang Wu, Xiaocheng Fang, Xiang Lan, Zihan Wang, Deyun Zhang, Bo Liu, Yingying Zhang, Xian Wu, Hongyan Li, Shenda Hong
2026	J	`jnl`	ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Improves Cardiac Disease Classification and Phenotype Prediction. CoRR Xiaocheng Fang, Zhengyao Ding, Jieyi Cai, Yujie Xiao, Bo Liu, Jiarui Jin, Haoyu Wang, Guangkun Nie, Shun Huang, Ting Chen, Hongyan Li, Shenda Hong
2026	A	`conf`	LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling. WSDM Bo Liu, Hongyan Li, Shenda Hong
2026	J	`jnl`	MieDB-100k: A Comprehensive Dataset for Medical Image Editing. CoRR Yongfan Lai, Wen Qian, Bo Liu, Hongyan Li, Hao Luo, Fan Wang, Bohan Zhuang, Shenda Hong
2025	A*	`conf`	DiffuGC: Diffusion Model Can Help Discover Granger Causality from Interventional Time Series. ICDM Bo Liu, Hongyan Li, Shenda Hong
2025	J	`jnl`	DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information. Patterns Yongfan Lai, Jiabo Chen, Qinghao Zhao, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong
2025	J	`jnl`	DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information. CoRR Yongfan Lai, Jiabo Chen, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong
2025	J	`jnl`	ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model. CoRR Yongfan Lai, Bo Liu, Xinyan Guan, Qinghao Zhao, Hongyan Li, Shenda Hong
2025	J	`jnl`	PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection. CoRR Xiaocheng Fang, Jiarui Jin, Haoyu Wang, Che Liu, Jieyi Cai, Guangkun Nie, Jun Li, Hongyan Li, Shenda Hong
2025	J	`jnl`	Preacher: Paper-to-Video Agentic System. CoRR Jingwei Liu, Ling Yang, Hao Luo, Fan Wang, Hongyan Li, Mengdi Wang
2025	A*	`conf`	Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. ICLR Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong
2025	J	`jnl`	Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. CoRR Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong
2025	J	`jnl`	Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG. CoRR Jiarui Jin, Xiaocheng Fang, Haoyu Wang, Jun Li, Che Liu, Donglin Xie, Hongyan Li, Shenda Hong
2025	J	`jnl`	UniECG: Understanding and Generating ECG in One Unified Model. CoRR Jiarui Jin, Haoyu Wang, Xiang Lan, Jun Li, Gaofeng Cheng, Hongyan Li, Shenda Hong
2024	J	`jnl`	A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. IEEE Trans. Neural Networks Learn. Syst. Chenxi Sun, Hongyan Li, Moxian Song, Shenda Hong
2024	J	`jnl`	A Systematic Review of Echo State Networks From Design to Application. IEEE Trans. Artif. Intell. Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
2024	J	`jnl`	Curriculum Design Helps Spiking Neural Networks to Classify Time Series. CoRR Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong
2024	A*	`conf`	Retrieval-Augmented Diffusion Models for Time Series Forecasting. NeurIPS Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong
2024	J	`jnl`	Retrieval-Augmented Diffusion Models for Time Series Forecasting. CoRR Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong
2024	J	`jnl`	Review of Data-centric Time Series Analysis from Sample, Feature, and Period. CoRR Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
2024	—	`conf`	Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models. ECML/PKDD (9) Jingwei Liu, Hongyan Li, Shenda Hong
2024	A*	`conf`	TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
2024	J	`jnl`	Time pattern reconstruction for classification of irregularly sampled time series. Pattern Recognit. Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
2023	J	`jnl`	Adaptive model training strategy for continuous classification of time series. Appl. Intell. Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
2023	J	`jnl`	Continuous diagnosis and prognosis by controlling the update process of deep neural networks. Patterns Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
2023	J	`jnl`	Curricular and Cyclical Loss for Time Series Learning Strategy. CoRR Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong
2023	J	`jnl`	SPL-LDP: a label distribution propagation method for semi-supervised partial label learning. Appl. Intell. Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li
2023	J	`jnl`	TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. CoRR Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong
2022	J	`jnl`	Classifying vaguely labeled data based on evidential fusion. Inf. Sci. Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li
2022	A	`conf`	Confidence-Guided Learning Process for Continuous Classification of Time Series. CIKM Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	J	`jnl`	Confidence-Guided Learning Process for Continuous Classification of Time Series. CoRR Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	J	`jnl`	Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks. CoRR Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
2022	A	`conf`	Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. CIKM Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	J	`jnl`	Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment. Inf. Sci. Moxian Song, Hongyan Li, Chenxi Sun, Derun Cai, Shenda Hong
2022	A	`conf`	GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. SDM Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li
2022	A	`conf`	Hypergraph Contrastive Learning for Electronic Health Records. SDM Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	A*	`conf`	Hypergraph Structure Learning for Hypergraph Neural Networks. IJCAI Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li
2021	J	`jnl`	GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. CoRR Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li
2021	J	`jnl`	Interpretable time-aware and co-occurrence-aware network for medical prediction. BMC Medical Informatics Decis. Mak. Chenxi Sun, Hongna Dui, Hongyan Li
2021	J	`jnl`	Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience. Biomed. Signal Process. Control. Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li
2021	J	`jnl`	Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. BMC Medical Informatics Decis. Mak. Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li, Zhenjie Wang
2021	A*	`conf`	TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. IJCAI Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li
2021	J	`jnl`	TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. CoRR Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li
2020	J	`jnl`	A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. CoRR Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li
2020	J	`jnl`	A Review of Designs and Applications of Echo State Networks. CoRR Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li
2020	J	`jnl`	Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie
2020	J	`jnl`	Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data. Neurocomputing Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li
2020	J	`jnl`	Semantics-aware influence maximization in social networks. Inf. Sci. Yipeng Chen, Qiang Qu, Yuanxiang Ying, Hongyan Li, Jialie Shen
2019	—	`conf`	AERIAL: An Efficient Randomized Incentive-Based Influence Maximization Algorithm. APWeb/WAIM (1) Yongyue Sun, Qingyun Wang, Hongyan Li
2019	A*	`conf`	GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. AAAI Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019	A*	`conf`	K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. IJCAI Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie
2019	A*	`conf`	MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019	J	`jnl`	MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019	J	`jnl`	RAISE: 一种高效的社交网络影响成本最小化算法 (RAISE: Efficient Influence Cost Minimizing Algorithm in Social Network). 计算机科学 Yongyue Sun, Hongyan Li, Jinbo Zhang
2019	A*	`conf`	RDPD: Rich Data Helps Poor Data via Imitation. IJCAI Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun
2018	J	`jnl`	GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. CoRR Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2018	A*	`conf`	Generative Adversarial Network for Abstractive Text Summarization. AAAI Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li
2018	C	`conf`	Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. ACML Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li
2018	A*	`conf`	Negative-Aware Influence Maximization on Social Networks. AAAI Yipeng Chen, Hongyan Li, Qiang Qu
2018	J	`jnl`	RDPD: Rich Data Helps Poor Data via Imitation. CoRR Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2017	—	`conf`	Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. PAKDD (1) Shenda Hong, Meng Wu, Jinbo Zhang, Hongyan Li
2017	—	`conf`	CLR: coupled logistic regression model for CTR prediction. ACM TUR-C Ning Yin, Hongyan Li, Hanchen Su
2017	—	`conf`	ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. CinC Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie
2017	—	`conf`	Event2vec: Learning Representations of Events on Temporal Sequences. APWeb/WAIM (2) Shenda Hong, Meng Wu, Hongyan Li, Zhengwu Wu
2017	—	`conf`	Finding the Typical Communication Black Hole in Big Data Environment. DMBD Jinbo Zhang, Shenda Hong, Yiyong Lin, Yanchao Mou, Hongyan Li
2017	J	`jnl`	Generative Adversarial Network for Abstractive Text Summarization. CoRR Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li
2017	—	`conf`	REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network. DMBD Jinbo Zhang, Yipeng Chen, Shenda Hong, Hongyan Li
2016	—	`conf`	A Novel Method for Mining Semantics from Patterns over ECG Data. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Zhen Qiu, Feifei Li, Shenda Hong, Hongyan Li
2016	—	`conf`	Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Shenda Hong, Zhen Qiu, Jinbo Zhang, Hongyan Li
2016	—	`conf`	Detecting Data-model-oriented Anomalies in Parallel Business Process. WAIM (2) Ning Yin, Shanshan Wang, Hongyan Li, Lilue Fan
2016	—	`conf`	FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks. APWeb (2) Yiyong Lin, Jinbo Zhang, Yuanxiang Ying, Shenda Hong, Hongyan Li
2016	—	`conf`	Inferring Social Roles of Mobile Users Based on Communication Behaviors. WAIM (1) Yipeng Chen, Hongyan Li, Jinbo Zhang, Gaoshan Miao
2016	—	`conf`	Online Learning for Accurate Real-Time Map Matching. PAKDD (2) Biwei Liang, Tengjiao Wang, Shun Li, Wei Chen, Hongyan Li, Kai Lei
2016	—	`conf`	Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum. APWeb (2) Meng Wu, Zhen Qiu, Shenda Hong, Hongyan Li
2015	—	`conf`	An Adaptive Skew Handling Join Algorithm for Large-scale Data Analysis. WAIM Di Wu, Tengjiao Wang, Yuxin Chen, Shun Li, Hongyan Li, Kai Lei
2014	C	`conf`	A Segment-Wise Method for Pseudo Periodic Time Series Prediction. ADMA Ning Yin, Shanshan Wang, Shenda Hong, Hongyan Li
2014	C	`conf`	An Adaptive Skew Insensitive Join Algorithm for Large Scale Data Analytics. APWeb Wenjing Liao, Tengjiao Wang, Hongyan Li, Dongqing Yang, Zhen Qiu, Kai Lei
2014	—	`conf`	BF-Matrix: A Secondary Index for the Cloud Storage. WAIM Xu Cheng, Hongyan Li, Yue Wang, Tengjiao Wang, Dongqing Yang
2014	—	`conf`	Finding Vacant Taxis Using Large Scale GPS Traces. WAIM Zhen Qiu, Hongyan Li, Shenda Hong, Yiyong Lin, Nana Fan, Gaoyan Ou, Tengjiao Wang, Lilue Fan
2013	—	`conf`	An effective method to analyze variations of high-dimensional patterns over medical streams. BIBM Yan Tang, Hongyan Li, Feifei Li, Lilue Fan
2013	—	`conf`	Dynamic Table: A Scalable Storage Structure in the Cloud. WAIM Workshops Hanchen Su, Hongyan Li, Xu Cheng, Zhiqiang Liu
2013	—	`conf`	Logistic Regression Bias Correction for Large Scale Data with Rare Events. ADMA (2) Zhen Qiu, Hongyan Li, Hanchen Su, Gaoyan Ou, Tengjiao Wang
2012	—	`conf`	A cost aware adaptive multiple table join evaluation in MapReduce. FSKD Linqing Wang, Jun Gao, Tengjiao Wang, Hongyan Li
2012	—	`conf`	Dynamic Table: A Layered and Configurable Storage Structure in the Cloud. WAIM Workshops Xu Cheng, Biping Meng, Yuxin Chen, Peng Zhao, Hongyan Li, Tengjiao Wang, Dongqing Yang
2012	—	`conf`	Efficient cube computing on an extended multidimensional model over uncertain data. FSKD Chunyang Wei, Hongyan Li, Kai Lei, Tengjiao Wang
2012	—	`conf`	Mining scalable pattern based on temporal logic over data streams. FSKD Yan Tang, Feifei Li, Hongyan Li
2012	C	`conf`	PCG: An Efficient Method for Composite Pattern Matching over Data Streams. ADMA Cheng Ju, Hongyan Li, Feifei Li
2012	C	`conf`	VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams. ADMA Yan Tang, Hongyan Li, Feifei Li, Gaoshan Miao
2011	—	`conf`	Efficient Topological OLAP on Information Networks. DASFAA (1) Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li
2010	—	`conf`	A General Multi-relational Classification Approach Using Feature Generation and Selection. ADMA (2) Miao Zou, Tengjiao Wang, Hongyan Li, Dongqing Yang
2010	C	`conf`	A Heuristic Method for Unstructured Pattern Management over Data Streams. APWeb Gaoshan Miao, Hongyan Li, Tengjiao Wang
2010	—	`conf`	Communities discovery in mobile call records. FSKD Xu Cheng, Qingjie Lu, Lian He, Hongyan Li, Tengjiao Wang, Dongqing Yang
2010	Misc	`conf`	MapReduce-based Backpropagation Neural Network over large scale mobile data. ICNC Zhiqiang Liu, Hongyan Li, Gaoshan Miao
2010	—	`conf`	Parallel sequential pattern mining by transaction decomposition. FSKD Xueqiang Wang, Jing Wang, Tengjiao Wang, Hongyan Li, Dongqing Yang
2009	—	`conf`	Composite Pattern Query Expression over Medical Data Streams. BMEI Feifei Li, Hongyan Li, Qiang Qu
2009	—	`conf`	Online Constrained Pattern Detection over Streams. FSKD (5) Qiang Qu, Hongyan Li, Lei Wang, Gaoshan Miao, Xin Wei
2009	—	`conf`	Verifying the Consistency between Business Process Model and Data Model. JCAI Lei Wang, Hongyan Li, Qiang Qu, Huaqiang Zhang, Bin Zhou
2008	—	`conf`	Diversity-Based Load Shedding Strategy over Pattern Streams. CSSE (4) Xin Wei, Hongyan Li, Gaoshan Miao, Xinbiao Zhou
2008	—	`conf`	PEDS-VM: A Variation Management Prototype for Pattern Evolving Data Streams. WAIM Xinbiao Zhou, Gaoshan Miao, Hongyan Li, Xin Wei, Lv-an Tang
2008	J	`jnl`	PGG: An Online Pattern Based Approach for Stream Variation Management. J. Comput. Sci. Technol. Lu-An Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, Xinbiao Zhou
2007	—	`conf`	Effective variation management for pseudo periodical streams. SIGMOD Conference Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, Xinbiao Zhou
2006	B	`conf`	DOPA: A Data-Driven and Ontology-Based Method for Ad Hoc Process Awareness in Web Information Systems. WISE Meimei Li, Hongyan Li, Lv-an Tang, Baojun Qiu
2006	C	`conf`	DSEC: A Data Stream Engine Based Clinical Information System. APWeb Yu Fan, Hongyan Li, Zijing Hu, Jianlong Gao, Haibin Liu, Shiwei Tang, Xinbiao Zhou
2006	—	`conf`	Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams. IWICPAS Xinbiao Zhou, Hongyan Li, Haibin Liu, Meimei Li, Lv-an Tang, Yu Fan, Zijing Hu
2006	C	`conf`	WISE: A Prototype for Ontology Driven Development of Web Information Systems. APWeb Lv-an Tang, Hongyan Li, Baojun Qiu, Meimei Li, Jianjun Wang, Lei Wang, Bin Zhou, Dongqing Yang, Shiwei Tang
2005	—	`conf`	A Hybrid Method for Detecting Data Stream Changes with Complex Semantics in Intensive Care Unit. ASIAN Ting Yin, Hongyan Li, Zijing Hu, Yu Fan, Jianlong Gao, Shiwei Tang
2005	—	`conf`	An Ontology Based Approach to Construct Behaviors in Web Information Systems. WAIM Lv-an Tang, Hongyan Li, Zhiyong Pan, Dongqing Yang, Meimei Li, Shiwei Tang, Ying Ying
2005	—	`conf`	General Consistency Management Within the Development of Ontology-Driven Web Information System. ASIAN Baojun Qiu, Hongyan Li, Zijing Hu, Dongqing Yang, Lv-an Tang, Jianjun Wang, Meimei Li, Shiwei Tang
2005	C	`conf`	PODWIS: A Personalized Tool for Ontology Development in Domain Specific Web Information System. APWeb Lv-an Tang, Hongyan Li, Zhiyong Pan, Shaohua Tan, Baojun Qiu, Shiwei Tang, Jianjun Wang
2005	—	`conf`	Understanding User Operations on Web Page in WISE. WAIM Hongyan Li, Ming Xue, Jianjun Wang, Shiwei Tang, Dongqing Yang
2005	—	`conf`	Using Control Theory to Guide Load Shedding in Medical Data Stream Management System. ASIAN Zijing Hu, Hongyan Li, Baojun Qiu, Lv-an Tang, Yu Fan, Haibin Liu, Jianlong Gao, Xinbiao Zhou
2001	—	`conf`	An XML Based Electronic Medical Record Integration System. WAIM Hongyan Li, Shiwei Tang, Dongqing Yang, Yi Yu