Min Liu

Orcid: 0000-0002-7273-0518

Affiliations:
  • Tsinghua University, Department of Automation, Beijing, China


According to our database1, Min Liu authored at least 58 papers between 2002 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A greedy-based crow search algorithm for semiconductor final testing scheduling problem.
Comput. Ind. Eng., September, 2023

IEPAPI: a method for immune epitope prediction by incorporating antigen presentation and immunogenicity.
Briefings Bioinform., July, 2023

Temporal Chain Network With Intuitive Attention Mechanism for Long-Term Series Forecasting.
IEEE Trans. Instrum. Meas., 2023

Robust Low-Rank Clustering Contrastive Learning Integrating Transformer for Noisy Industrial Soft Sensors.
IEEE Trans. Instrum. Meas., 2023

Identification of Gene Regulatory Networks Using Variational Bayesian Inference in the Presence of Missing Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Two Twin Extreme Learning Machines for Regression and Their Applications in Industry.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022
Deep Learning-Enhanced MHC-II Presentation Prediction and Peptidome Deconvolution.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

A Method for Yeast Promoter Strength Prediction Based on a Branched CNN Feature Extractor.
Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022

2020
A Lightweight Appearance Quality Assessment System Based on Parallel Deep Learning for Painted Car Body.
IEEE Trans. Instrum. Meas., 2020

A Metric-Learning-Based Nonlinear Modeling Algorithm and Its Application in Key-Performance-Indicator Prediction.
IEEE Trans. Ind. Electron., 2020

Design of DOB-Based Control System in the Presence of Uncertain Delays for Low-Order Processes.
IEEE Trans. Control. Syst. Technol., 2020

2019
Coarse-to-Fine Adaptive Illumination Hard-Adjustment for Vision Inspection System Under Uncertain Imaging Conditions.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

2018
An Operation-Group Based Soft Scheduling Approach for Uncertain Semiconductor Wafer Fabrication System.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Strong/Weak Feature Recognition of Promoters Based on Position Weight Matrix and Ensemble Set-Valued Models.
J. Comput. Biol., 2018

A preference-inspired multi-objective soft scheduling algorithm for the practical steelmaking-continuous casting production.
Comput. Ind. Eng., 2018

2017
A Two-Phase Soft Optimization Method for the Uncertain Scheduling Problem in the Steelmaking Industry.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Riemannian Alternative Matrix Completion for Image-Based Flame Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2017

Iteration Tuning of Disturbance Observer-Based Control System Satisfying Robustness Index for FOPTD Processes.
IEEE Trans. Control. Syst. Technol., 2017

Many-objective harmony search for integrated order planning in steelmaking-continuous casting-hot rolling production of multi-plants.
Int. J. Prod. Res., 2017

A multi-stage dynamic soft scheduling algorithm for the uncertain steelmaking-continuous casting scheduling problem.
Appl. Soft Comput., 2017

2016
A prediction-based online soft scheduling algorithm for the real-world steelmaking-continuous casting production.
Knowl. Based Syst., 2016

A multi-objective optimization approach for integrated production planning under interval uncertainties in the steel industry.
Comput. Oper. Res., 2016

A hybrid differential evolution approach based on surrogate modelling for scheduling bottleneck stages.
Comput. Oper. Res., 2016

Model reduction method based on selective clustering ensemble algorithm and Theory of Constraints in semiconductor wafer fabrication.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015
Two Efficient Twin ELM Methods With Prediction Interval.
IEEE Trans. Neural Networks Learn. Syst., 2015

A hybrid estimation of distribution algorithm for the semiconductor final testing scheduling problem.
J. Intell. Manuf., 2015

An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time.
Neurocomputing, 2015

A new robust ELM method based on a Bayesian framework with heavy-tailed distribution and weighted likelihood function.
Neurocomputing, 2015

An order-based estimation of distribution algorithm for stochastic hybrid flow-shop scheduling problem.
Int. J. Comput. Integr. Manuf., 2015

A soft-decision based two-layered scheduling approach for uncertain steelmaking-continuous casting process.
Eur. J. Oper. Res., 2015

A bi-layer optimization approach for a hybrid flow shop scheduling problem involving controllable processing times in the steelmaking industry.
Comput. Ind. Eng., 2015

2014
An incremental extreme learning machine for online sequential learning problems.
Neurocomputing, 2014

Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm.
Expert Syst. Appl., 2014

Robust LS-SVR based on variational Bayesian and its applications.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A bottleneck prediction and rolling horizon scheme combined dynamic scheduling algorithm for semiconductor wafer fabrication.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014

2013
A Pareto-Archived Estimation-of-Distribution Algorithm for Multiobjective Resource-Constrained Project Scheduling Problem.
IEEE Trans. Engineering Management, 2013

A High Performing Memetic Algorithm for the Flowshop Scheduling Problem With Blocking.
IEEE Trans Autom. Sci. Eng., 2013

Four single-machine scheduling problems involving due date determination decisions.
Inf. Sci., 2013

An estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013

2012
Single-Machine Scheduling With Job-Position-Dependent Learning and Time-Dependent Deterioration.
IEEE Trans. Syst. Man Cybern. Part A, 2012

A novel group search optimizer for multi-objective optimization.
Expert Syst. Appl., 2012

Study on prediction models for integrated scheduling in semiconductor manufacturing lines.
Comput. Sci. Inf. Syst., 2012

A bi-population based estimation of distribution algorithm for the flexible job-shop scheduling problem.
Comput. Ind. Eng., 2012

Attribute characteristics of combined formal contexts.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

Approach to complex hydrogen reactor optimization modeling based on ANFIS.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

A new ELM based on interval-value for modeling in industry systems.
Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012

2010
A New ANFIS for Parameter Prediction With Numeric and Categorical Inputs.
IEEE Trans Autom. Sci. Eng., 2010

A new online learning algorithm for structure-adjustable extreme learning machine.
Comput. Math. Appl., 2010

2008
A prediction based iterative decomposition algorithm for scheduling large-scale job shops.
Math. Comput. Model., 2008

2007
Set approximations in fuzzy formal concept analysis.
Fuzzy Sets Syst., 2007

Reduction method for concept lattices based on rough set theory and its application.
Comput. Math. Appl., 2007

2006
Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems.
Comput. Math. Appl., 2006

Fuzzy reasoning based on a new fuzzy rough set and its application to scheduling problems.
Comput. Math. Appl., 2006

Approximation theorem of the fuzzy transform in fuzzy reasoning and its application to the scheduling problem.
Comput. Math. Appl., 2006

Rough Fuzzy Set Approximations in Fuzzy Formal Contexts.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

2004
A VOC Based Approach to Support Virtual Organizations.
Proceedings of the Fourth International Conference on Electronic Business, 2004

2003
Fuzzy metric based on the distance function of plane and its application in optimal scheduling problems.
Sci. China Ser. F Inf. Sci., 2003

2002
The order structure of fuzzy numbers based on the level characteristics and its application to optimization problems.
Sci. China Ser. F Inf. Sci., 2002


  Loading...