An XML Based Electronic Medical Record Integration System. - Hongyan Li 002; Shiwei Tang; Dongqing Yang; Yi Yu (WAIM, 2001)

PODWIS: A Personalized Tool for Ontology Development in Domain Specific Web Information System. - Lv-an Tang; Hongyan Li 002; Zhiyong Pan; Shaohua Tan; Baojun Qiu; Shiwei Tang; Jianjun Wang (APWeb, 2005)

Using Control Theory to Guide Load Shedding in Medical Data Stream Management System. - Zijing Hu; Hongyan Li 002; Baojun Qiu; Lv-an Tang; Yu Fan; Haibin Liu; Jianlong Gao; Xinbiao Zhou (ASIAN, 2005)

General Consistency Management Within the Development of Ontology-Driven Web Information System. - Baojun Qiu; Hongyan Li 002; Zijing Hu; Dongqing Yang; Lv-an Tang; Jianjun Wang; Meimei Li; Shiwei Tang (ASIAN, 2005)

A Hybrid Method for Detecting Data Stream Changes with Complex Semantics in Intensive Care Unit. - Ting Yin; Hongyan Li 002; Zijing Hu; Yu Fan; Jianlong Gao; Shiwei Tang (ASIAN, 2005)

Understanding User Operations on Web Page in WISE. - Hongyan Li 002; Ming Xue; Jianjun Wang; Shiwei Tang; Dongqing Yang (WAIM, 2005)

An Ontology Based Approach to Construct Behaviors in Web Information Systems. - Lv-an Tang; Hongyan Li 002; Zhiyong Pan; Dongqing Yang; Meimei Li; Shiwei Tang; Ying Ying (WAIM, 2005)

DSEC: A Data Stream Engine Based Clinical Information System. - Yu Fan; Hongyan Li 002; Zijing Hu; Jianlong Gao; Haibin Liu; Shiwei Tang; Xinbiao Zhou (APWeb, 2006)

WISE: A Prototype for Ontology Driven Development of Web Information Systems. - Lv-an Tang; Hongyan Li 002; Baojun Qiu; Meimei Li; Jianjun Wang; Lei Wang; Bin Zhou; Dongqing Yang; Shiwei Tang (APWeb, 2006)

Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams. - Xinbiao Zhou; Hongyan Li 002; Haibin Liu; Meimei Li; Lv-an Tang; Yu Fan; Zijing Hu (IWICPAS, 2006)

DOPA: A Data-Driven and Ontology-Based Method for Ad Hoc Process Awareness in Web Information Systems. - Meimei Li; Hongyan Li 002; Lv-an Tang; Baojun Qiu (WISE, 2006)

Effective variation management for pseudo periodical streams. - Lv-an Tang; Bin Cui 001; Hongyan Li 002; Gaoshan Miao; Dongqing Yang; Xinbiao Zhou (SIGMOD Conference, 2007)

Diversity-Based Load Shedding Strategy over Pattern Streams. - Xin Wei; Hongyan Li 002; Gaoshan Miao; Xinbiao Zhou (CSSE (4), 2008)

PEDS-VM: A Variation Management Prototype for Pattern Evolving Data Streams. - Xinbiao Zhou; Gaoshan Miao; Hongyan Li 002; Xin Wei; Lv-an Tang (WAIM, 2008)

PGG: An Online Pattern Based Approach for Stream Variation Management. - Lu-An Tang; Bin Cui 001; Hongyan Li 002; Gaoshan Miao; Dongqing Yang; Xinbiao Zhou (J. Comput. Sci. Technol., 2008)

Composite Pattern Query Expression over Medical Data Streams. - Feifei Li 003; Hongyan Li 002; Qiang Qu (BMEI, 2009)

Online Constrained Pattern Detection over Streams. - Qiang Qu; Hongyan Li 002; Lei Wang; Gaoshan Miao; Xin Wei (FSKD (5), 2009)

Verifying the Consistency between Business Process Model and Data Model. - Lei Wang; Hongyan Li 002; Qiang Qu; Huaqiang Zhang; Bin Zhou (JCAI, 2009)

A General Multi-relational Classification Approach Using Feature Generation and Selection. - Miao Zou; Tengjiao Wang 003; Hongyan Li 002; Dongqing Yang (ADMA (2), 2010)

A Heuristic Method for Unstructured Pattern Management over Data Streams. - Gaoshan Miao; Hongyan Li 002; Tengjiao Wang 003 (APWeb, 2010)

Communities discovery in mobile call records. - Xu Cheng; Qingjie Lu; Lian He; Hongyan Li 002; Tengjiao Wang 003; Dongqing Yang (FSKD, 2010)

Parallel sequential pattern mining by transaction decomposition. - Xueqiang Wang; Jing Wang; Tengjiao Wang 003; Hongyan Li 002; Dongqing Yang (FSKD, 2010)

MapReduce-based Backpropagation Neural Network over large scale mobile data. - Zhiqiang Liu; Hongyan Li 002; Gaoshan Miao (ICNC, 2010)

Efficient Topological OLAP on Information Networks. - Qiang Qu; Feida Zhu 001; Xifeng Yan; Jiawei Han 001; Philip S. Yu; Hongyan Li 002 (DASFAA (1), 2011)

PCG: An Efficient Method for Composite Pattern Matching over Data Streams. - Cheng Ju; Hongyan Li 002; Feifei Li 003 (ADMA, 2012)

VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams. - Yan Tang; Hongyan Li 002; Feifei Li 003; Gaoshan Miao (ADMA, 2012)

Mining scalable pattern based on temporal logic over data streams. - Yan Tang; Feifei Li 003; Hongyan Li 002 (FSKD, 2012)

A cost aware adaptive multiple table join evaluation in MapReduce. - Linqing Wang; Jun Gao 003; Tengjiao Wang 003; Hongyan Li 002 (FSKD, 2012)

Efficient cube computing on an extended multidimensional model over uncertain data. - Chunyang Wei; Hongyan Li 002; Kai Lei; Tengjiao Wang 003 (FSKD, 2012)

Dynamic Table: A Layered and Configurable Storage Structure in the Cloud. - Xu Cheng; Biping Meng; Yuxin Chen; Peng Zhao; Hongyan Li 002; Tengjiao Wang 003; Dongqing Yang (WAIM Workshops, 2012)

Logistic Regression Bias Correction for Large Scale Data with Rare Events. - Zhen Qiu; Hongyan Li 002; Hanchen Su; Gaoyan Ou; Tengjiao Wang 003 (ADMA (2), 2013)

An effective method to analyze variations of high-dimensional patterns over medical streams. - Yan Tang; Hongyan Li 002; Feifei Li 003; Lilue Fan (BIBM, 2013)

Dynamic Table: A Scalable Storage Structure in the Cloud. - Hanchen Su; Hongyan Li 002; Xu Cheng; Zhiqiang Liu (WAIM Workshops, 2013)

A Segment-Wise Method for Pseudo Periodic Time Series Prediction. - Ning Yin; Shanshan Wang; Shenda Hong; Hongyan Li 002 (ADMA, 2014)

An Adaptive Skew Insensitive Join Algorithm for Large Scale Data Analytics. - Wenjing Liao; Tengjiao Wang 003; Hongyan Li 002; Dongqing Yang; Zhen Qiu; Kai Lei (APWeb, 2014)

BF-Matrix: A Secondary Index for the Cloud Storage. - Xu Cheng; Hongyan Li 002; Yue Wang 014; Tengjiao Wang 003; Dongqing Yang (WAIM, 2014)

Finding Vacant Taxis Using Large Scale GPS Traces. - Zhen Qiu; Hongyan Li 002; Shenda Hong; Yiyong Lin 003; Nana Fan; Gaoyan Ou; Tengjiao Wang 003; Lilue Fan (WAIM, 2014)

An Adaptive Skew Handling Join Algorithm for Large-scale Data Analysis. - Di Wu; Tengjiao Wang 003; Yuxin Chen; Shun Li 001; Hongyan Li 002; Kai Lei (WAIM, 2015)

Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition. - Shenda Hong; Zhen Qiu; Jinbo Zhang; Hongyan Li 002 (AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, 2016)

A Novel Method for Mining Semantics from Patterns over ECG Data. - Zhen Qiu; Feifei Li 003; Shenda Hong; Hongyan Li 002 (AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, 2016)

FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks. - Yiyong Lin 003; Jinbo Zhang; Yuanxiang Ying; Shenda Hong; Hongyan Li 002 (APWeb (2), 2016)

Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum. - Meng Wu; Zhen Qiu; Shenda Hong; Hongyan Li 002 (APWeb (2), 2016)

Online Learning for Accurate Real-Time Map Matching. - Biwei Liang; Tengjiao Wang 003; Shun Li 001; Wei Chen 021; Hongyan Li 002; Kai Lei (PAKDD (2), 2016)

Inferring Social Roles of Mobile Users Based on Communication Behaviors. - Yipeng Chen; Hongyan Li 002; Jinbo Zhang; Gaoshan Miao (WAIM (1), 2016)

Detecting Data-model-oriented Anomalies in Parallel Business Process. - Ning Yin; Shanshan Wang; Hongyan Li 002; Lilue Fan (WAIM (2), 2016)

CLR: coupled logistic regression model for CTR prediction. - Ning Yin; Hongyan Li 002; Hanchen Su (ACM TUR-C, 2017)

Event2vec: Learning Representations of Events on Temporal Sequences. - Shenda Hong; Meng Wu; Hongyan Li 002; Zhengwu Wu (APWeb/WAIM (2), 2017)

ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. - Shenda Hong; Meng Wu; Yuxi Zhou; Qingyun Wang; Junyuan Shang; Hongyan Li 002; Junqing Xie (CinC, 2017)

REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network. - Jinbo Zhang; Yipeng Chen; Shenda Hong; Hongyan Li 002 (DMBD, 2017)

Finding the Typical Communication Black Hole in Big Data Environment. - Jinbo Zhang; Shenda Hong; Yiyong Lin 003; Yanchao Mou; Hongyan Li 002 (DMBD, 2017)

Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. - Shenda Hong; Meng Wu; Jinbo Zhang; Hongyan Li 002 (PAKDD (1), 2017)

Negative-Aware Influence Maximization on Social Networks. - Yipeng Chen; Hongyan Li 002; Qiang Qu (AAAI, 2018)

Generative Adversarial Network for Abstractive Text Summarization. - Linqing Liu; Yao Lu; Min Yang 007; Qiang Qu; Jia Zhu 003; Hongyan Li 002 (AAAI, 2018)

Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. - Junyuan Shang; Shenda Hong; Yuxi Zhou; Meng Wu; Hongyan Li 002 (ACML, 2018)

RDPD: Rich Data Helps Poor Data via Imitation. - Shenda Hong; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (CoRR, 2018)

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. - Junyuan Shang; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (AAAI, 2019)

AERIAL: An Efficient Randomized Incentive-Based Influence Maximization Algorithm. - Yongyue Sun; Qingyun Wang; Hongyan Li 002 (APWeb/WAIM (1), 2019)

RDPD: Rich Data Helps Poor Data via Imitation. - Shenda Hong; Cao Xiao; Trong Nghia Hoang; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (IJCAI, 2019)

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. - Shenda Hong; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (IJCAI, 2019)

K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. - Yuxi Zhou; Shenda Hong; Junyuan Shang; Meng Wu; Qingyun Wang; Hongyan Li 002; Junqing Xie (IJCAI, 2019)

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). - Yongyue Sun; Hongyan Li 002; Jinbo Zhang (计算机科学, 2019)

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. - Chenxi Sun; Shenda Hong; Moxian Song; Hongyan Li 002 (CoRR, 2020)

A Review of Designs and Applications of Echo State Networks. - Chenxi Sun; Moxian Song; Shenda Hong; Hongyan Li 002 (CoRR, 2020)

Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data. - Yen-hsiu Chou; Shenda Hong; Yuxi Zhou; Junyuan Shang; Moxian Song; Hongyan Li 002 (Neurocomputing, 2020)

Semantics-aware influence maximization in social networks. - Yipeng Chen; Qiang Qu; Yuanxiang Ying; Hongyan Li 002; Jialie Shen 001 (Inf. Sci., 2020)

Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. - Yuxi Zhou; Shenda Hong; Junyuan Shang; Meng Wu; Qingyun Wang; Hongyan Li 002; Junqing Xie (Sensors, 2020)

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. - Chenxi Sun; Shenda Hong; Moxian Song; Yen-hsiu Chou; Yongyue Sun; Derun Cai; Hongyan Li 002 (IJCAI, 2021)

Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience. - Chenxi Sun; Shenda Hong; Moxian Song; Junyuan Shang; Hongyan Li 002 (Biomed. Signal Process. Control., 2021)

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. - Chenxi Sun; Shenda Hong; Moxian Song; Yanxiu Zhou; Yongyue Sun; Derun Cai; Hongyan Li 002 (CoRR, 2021)

Interpretable time-aware and co-occurrence-aware network for medical prediction. - Chenxi Sun; Hongna Dui; Hongyan Li 002 (BMC Medical Informatics Decis. Mak., 2021)

Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. - Chenxi Sun; Shenda Hong; Moxian Song; Hongyan Li 002; Zhenjie Wang (BMC Medical Informatics Decis. Mak., 2021)

Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. - Derun Cai; Moxian Song; Chenxi Sun; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (CIKM, 2022)

Confidence-Guided Learning Process for Continuous Classification of Time Series. - Chenxi Sun; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (CIKM, 2022)

Hypergraph Structure Learning for Hypergraph Neural Networks. - Derun Cai; Moxian Song; Chenxi Sun; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (IJCAI, 2022)

Hypergraph Contrastive Learning for Electronic Health Records. - Derun Cai; Chenxi Sun; Moxian Song; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (SDM, 2022)

GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. - Yen-hsiu Chou; Shenda Hong; Chenxi Sun; Derun Cai; Moxian Song; Hongyan Li 002 (SDM, 2022)

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment. - Moxian Song; Hongyan Li 002; Chenxi Sun; Derun Cai; Shenda Hong (Inf. Sci., 2022)

Classifying vaguely labeled data based on evidential fusion. - Moxian Song; Chenxi Sun; Derun Cai; Shenda Hong; Hongyan Li 002 (Inf. Sci., 2022)

Curricular and Cyclical Loss for Time Series Learning Strategy. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Shenda Hong (CoRR, 2023)

Continuous diagnosis and prognosis by controlling the update process of deep neural networks. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Patterns, 2023)

Adaptive model training strategy for continuous classification of time series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Appl. Intell., 2023)

SPL-LDP: a label distribution propagation method for semi-supervised partial label learning. - Moxian Song; Chenxi Sun; Derun Cai; Shenda Hong; Hongyan Li 002 (Appl. Intell., 2023)

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. - Chenxi Sun; Hongyan Li 002; Yaliang Li; Shenda Hong (ICLR, 2024)

Retrieval-Augmented Diffusion Models for Time Series Forecasting. - Jingwei Liu; Ling Yang 006; Hongyan Li 002; Shenda Hong (NeurIPS, 2024)

Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models. - Jingwei Liu; Hongyan Li 002; Shenda Hong (ECML/PKDD (9), 2024)

Curriculum Design Helps Spiking Neural Networks to Classify Time Series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Shenda Hong (CoRR, 2024)

Review of Data-centric Time Series Analysis from Sample, Feature, and Period. - Chenxi Sun; Hongyan Li 002; Yaliang Li; Shenda Hong (CoRR, 2024)

A Systematic Review of Echo State Networks From Design to Application. - Chenxi Sun; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (IEEE Trans. Artif. Intell., 2024)

Time pattern reconstruction for classification of irregularly sampled time series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Pattern Recognit., 2024)

A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Shenda Hong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. - Jiarui Jin; Haoyu Wang; Hongyan Li 002; Jun Li; Jiahui Pan; Shenda Hong (ICLR, 2025)

DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information. - Yongfan Lai; Jiabo Chen; Deyun Zhang; Yue Wang 014; Shijia Geng; Hongyan Li 002; Shenda Hong (CoRR, 2025)

ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model. - Yongfan Lai; Bo Liu; Xinyan Guan; Qinghao Zhao; Hongyan Li 002; Shenda Hong (CoRR, 2025)

Preacher: Paper-to-Video Agentic System. - Jingwei Liu; Ling Yang 006; Hao Luo; Fan Wang; Hongyan Li 002; Mengdi Wang (CoRR, 2025)