Hongyan Li

Orcid: 0000-0001-7174-2851

Affiliations:
  • Peking University, School of Electronics Engineering and Computer Science, Beijing, China
  • Peking University, Key Laboratory of Machine Perception (Ministry of Education), Beijing, China


According to our database1, Hongyan Li authored at least 86 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Time pattern reconstruction for classification of irregularly sampled time series.
Pattern Recognit., March, 2024

A Systematic Review of Echo State Networks From Design to Application.
IEEE Trans. Artif. Intell., January, 2024

Curriculum Design Helps Spiking Neural Networks to Classify Time Series.
CoRR, 2024

2023
SPL-LDP: a label distribution propagation method for semi-supervised partial label learning.
Appl. Intell., September, 2023

Adaptive model training strategy for continuous classification of time series.
Appl. Intell., August, 2023

Continuous diagnosis and prognosis by controlling the update process of deep neural networks.
Patterns, February, 2023

Curricular and Cyclical Loss for Time Series Learning Strategy.
CoRR, 2023

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series.
CoRR, 2023

2022
Classifying vaguely labeled data based on evidential fusion.
Inf. Sci., 2022

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment.
Inf. Sci., 2022

GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Hypergraph Contrastive Learning for Electronic Health Records.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Hypergraph Structure Learning for Hypergraph Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Confidence-Guided Learning Process for Continuous Classification of Time Series.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning.
BMC Medical Informatics Decis. Mak., December, 2021

Interpretable time-aware and co-occurrence-aware network for medical prediction.
BMC Medical Informatics Decis. Mak., 2021

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data.
CoRR, 2021

Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.
Biomed. Signal Process. Control., 2021

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence.
Sensors, 2020

Semantics-aware influence maximization in social networks.
Inf. Sci., 2020

Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.
Neurocomputing, 2020

A Review of Designs and Applications of Echo State Networks.
CoRR, 2020

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data.
CoRR, 2020

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).
计算机科学, 2019

K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

RDPD: Rich Data Helps Poor Data via Imitation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

AERIAL: An Efficient Randomized Incentive-Based Influence Maximization Algorithm.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
RDPD: Rich Data Helps Poor Data via Imitation.
CoRR, 2018

Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Generative Adversarial Network for Abstractive Text Summarization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Negative-Aware Influence Maximization on Social Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Finding the Typical Communication Black Hole in Big Data Environment.
Proceedings of the Data Mining and Big Data - Second International Conference, 2017

REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network.
Proceedings of the Data Mining and Big Data - Second International Conference, 2017

ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks.
Proceedings of the Computing in Cardiology, 2017

Event2vec: Learning Representations of Events on Temporal Sequences.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

CLR: coupled logistic regression model for CTR prediction.
Proceedings of the ACM Turing 50th Celebration Conference, 2017

2016
Detecting Data-model-oriented Anomalies in Parallel Business Process.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Inferring Social Roles of Mobile Users Based on Communication Behaviors.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Online Learning for Accurate Real-Time Map Matching.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

A Novel Method for Mining Semantics from Patterns over ECG Data.
Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016

Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition.
Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016

2015
An Adaptive Skew Handling Join Algorithm for Large-scale Data Analysis.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

2014
Finding Vacant Taxis Using Large Scale GPS Traces.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

BF-Matrix: A Secondary Index for the Cloud Storage.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

An Adaptive Skew Insensitive Join Algorithm for Large Scale Data Analytics.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

A Segment-Wise Method for Pseudo Periodic Time Series Prediction.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
Dynamic Table: A Scalable Storage Structure in the Cloud.
Proceedings of the Web-Age Information Management, 2013

An effective method to analyze variations of high-dimensional patterns over medical streams.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Logistic Regression Bias Correction for Large Scale Data with Rare Events.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Dynamic Table: A Layered and Configurable Storage Structure in the Cloud.
Proceedings of the Web-Age Information Management, 2012

Efficient cube computing on an extended multidimensional model over uncertain data.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

A cost aware adaptive multiple table join evaluation in MapReduce.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Mining scalable pattern based on temporal logic over data streams.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

PCG: An Efficient Method for Composite Pattern Matching over Data Streams.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Efficient Topological OLAP on Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

2010
MapReduce-based Backpropagation Neural Network over large scale mobile data.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Parallel sequential pattern mining by transaction decomposition.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Communities discovery in mobile call records.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A Heuristic Method for Unstructured Pattern Management over Data Streams.
Proceedings of the Advances in Web Technologies and Applications, 2010

A General Multi-relational Classification Approach Using Feature Generation and Selection.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Verifying the Consistency between Business Process Model and Data Model.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009

Online Constrained Pattern Detection over Streams.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Composite Pattern Query Expression over Medical Data Streams.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
PGG: An Online Pattern Based Approach for Stream Variation Management.
J. Comput. Sci. Technol., 2008

PEDS-VM: A Variation Management Prototype for Pattern Evolving Data Streams.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Diversity-Based Load Shedding Strategy over Pattern Streams.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
Effective variation management for pseudo periodical streams.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

2006
DOPA: A Data-Driven and Ontology-Based Method for Ad Hoc Process Awareness in Web Information Systems.
Proceedings of the Web Information Systems, 2006

Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams.
Proceedings of the Advances in Machine Vision, 2006

WISE: A Prototype for Ontology Driven Development of Web Information Systems.
Proceedings of the Frontiers of WWW Research and Development, 2006

DSEC: A Data Stream Engine Based Clinical Information System.
Proceedings of the Frontiers of WWW Research and Development, 2006

2005
An Ontology Based Approach to Construct Behaviors in Web Information Systems.
Proceedings of the Advances in Web-Age Information Management, 2005

Understanding User Operations on Web Page in WISE.
Proceedings of the Advances in Web-Age Information Management, 2005

A Hybrid Method for Detecting Data Stream Changes with Complex Semantics in Intensive Care Unit.
Proceedings of the Advances in Computer Science, 2005

General Consistency Management Within the Development of Ontology-Driven Web Information System.
Proceedings of the Advances in Computer Science, 2005

Using Control Theory to Guide Load Shedding in Medical Data Stream Management System.
Proceedings of the Advances in Computer Science, 2005

PODWIS: A Personalized Tool for Ontology Development in Domain Specific Web Information System.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2001
An XML Based Electronic Medical Record Integration System.
Proceedings of the Advances in Web-Age Information Management, 2001


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