Yingbo Liu

Orcid: 0000-0003-4031-4285

According to our database1, Yingbo Liu authored at least 42 papers between 2007 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Multi-view clustering via label-embedded regularized NMF with dual-graph constraints.
Neurocomputing, September, 2023

STKST-I: An Efficient Semantic Trajectory Search by Temporal and Semantic Keywords.
Expert Syst. Appl., September, 2023

An Interpretable Multitask Framework BiLAT Enables Accurate Prediction of Cyclin-Dependent Protein Kinase Inhibitors.
J. Chem. Inf. Model., June, 2023

Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices".
IEEE Internet Things J., 2023

Spot-Size Converter of Thin-film Lithium Niobate on Quartz Substrate.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Tolerance Analysis of Optical splitter / combiner on Lithium Niobate Modulator.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022
Air Free-Cooled Tropical Data Center: Design, Evaluation, and Learned Lessons.
IEEE Trans. Sustain. Comput., 2022

A data-assisted first-principle approach to modeling server outlet temperature in air free-cooled data centers.
Future Gener. Comput. Syst., 2022

2021
Deep Reinforcement Learning for Tropical Air Free-cooled Data Center Control.
ACM Trans. Sens. Networks, 2021

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices.
IEEE Internet Things J., 2021

Time-Series Prediction of Iron and Silicon Content in Aluminium Electrolysis Based on Machine Learning.
IEEE Access, 2021

2020
Covert Device Association Among Colluding Apps via Edge Processor Workload.
IEEE Internet Things J., 2020

Covert Association of Applications on Edge Devices by Processor Workload.
CoRR, 2020

Experiences and Learned Lessons from an Air Free-Cooled Tropical Data Center Testbed.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

2019
Control of Air Free-Cooled Data Centers in Tropics via Deep Reinforcement Learning.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

2018
A testbed and data yields for studying data center energy efficiency and reliability.
Proceedings of the First Workshop on Data Acquisition To Analysis, 2018

2017
OpenCluster: A Flexible Distributed Computing Framework for Astronomical Data Processing.
CoRR, 2017

Big Data Services Requirements Analysis.
Proceedings of the Requirements Engineering for Internet of Things, 2017

2016
An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model.
Appl. Intell., 2016

A Self-Evolving Method of Data Model for Cloud-Based Machine Data Ingestion.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
The Small Data Solutions of General 3D Quasilinear Wave Equations. I.
SIAM J. Math. Anal., 2015

Research on identity authentication management in mobile commerce based on ECC and dynamic fingerprint key.
Int. J. Mob. Commun., 2015

Efficient Indexing and Querying of Massive Astronomical Data Using Compressed Word-Aligned Hybrid Bitmap.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Spare Part Demand Prediction Based on Context-Aware Matrix Factorization.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
Requirements model driven adaption and evolution of Internetware.
Sci. China Inf. Sci., 2014

MapReduce for Large-Scale Monitor Data Analyses.
Proceedings of the 13th IEEE International Conference on Trust, 2014

LCAD: A Correlation Based Abnormal Pattern Detection Approach for Large Amount of Monitor Data.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2012
An Approach to Recommend Resources for Business Processes.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2012 Workshops, 2012

Detecting Infeasible Traces in Process Models.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 3, Wroclaw, Poland, 28 June, 2012

The Preliminary Risk Research of Cascade Reservoirs System.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

A Study on Modeling of Lightweight Scientific Workflow Systems Using XML Schema.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
Mining workflow event log to facilitate parallel work item sharing among human resources.
Int. J. Comput. Integr. Manuf., 2011

Role Assignment in Business Process Models.
Proceedings of the Business Process Management Workshops, 2011

2010
Dynamically Analyzing Time Constraints in Workflow Systems with Fixed-Date Constraint.
Proceedings of the Advances in Web Technologies and Applications, 2010

2009
A Two-Stage Probabilistic Approach to Manage Personal Worklist in Workflow Management Systems.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Deriving Canonical Business Object Operation Nets from Process Models.
Proceedings of the ICEIS 2009, 2009

Extracting Real-Life Log with Data Perspective in PLM System for Business Process Analysis.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Probability Timing Constraint WF-Nets and Their Application to Timing Schedulability Analysis of Workflow Management Systems.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008
A semi-automatic approach for workflow staff assignment.
Comput. Ind., 2008

An Optimal Approach for Workflow Staff Assignment Based on Hidden Markov Models.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008 Workshops, 2008

2007
A machine learning approach to semi-automating workflow staff assignment.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Using Decision Tree Learning to Predict Workflow Activity Time Consumption.
Proceedings of the ICEIS 2007, 2007


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