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Min Liu 0013
Person information
- affiliation: Tsinghua University, Department of Automation, Beijing, China
Other persons with the same name
- Min Liu — disambiguation page
- Min Liu 0001
— Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Min Liu 0002
- Min Liu 0003 — Shanghai Jiao Tong University, Institute of Image Communication and Information Processing, China
- Min Liu 0004
- Min Liu 0005
- Min Liu 0006
- Min Liu 0007 — University of Maryland, College Park, MD, USA
- Min Liu 0008
- Min Liu 0009 — University of New South Wales, Canberra, Australia
- Min Liu 0010
- Min Liu 0011
- Min Liu 0012
- Min Liu 0014
- Min Liu 0015
- Min Liu 0016
- Min Liu 0017 — Beihang University, School of Computer Science and Engineering, Institute of Advanced Computing Technology, Beijing, China
- Min Liu 0018
- Min Liu 0019
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2020 – today
- 2023
- [j46]Juntao Deng
IEPAPI: a method for immune epitope prediction by incorporating antigen presentation and immunogenicity. Briefings Bioinform. 24(4) (2023) - [j45]Weiguo Hu
A greedy-based crow search algorithm for semiconductor final testing scheduling problem. Comput. Ind. Eng. 183: 109423 (2023) - [j44]Qie Liu
Identification of Gene Regulatory Networks Using Variational Bayesian Inference in the Presence of Missing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 399-409 (2023) - [j43]Hao Wu
Robust Low-Rank Clustering Contrastive Learning Integrating Transformer for Noisy Industrial Soft Sensors. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j42]Zhen Zhang
Temporal Chain Network With Intuitive Attention Mechanism for Long-Term Series Forecasting. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c13]Weiguo Hu
Two Twin Extreme Learning Machines for Regression and Their Applications in Industry. IECON 2023: 1-6 - 2022
- [c12]Wenfa Wu, Min Liu:
A Method for Yeast Promoter Strength Prediction Based on a Branched CNN Feature Extractor. ICBBT 2022: 151-157 - [c11]Juntao Deng
Deep Learning-Enhanced MHC-II Presentation Prediction and Peptidome Deconvolution. ISBRA 2022: 180-191 - 2020
- [j41]Qie Liu
Design of DOB-Based Control System in the Presence of Uncertain Delays for Low-Order Processes. IEEE Trans. Control. Syst. Technol. 28(2): 558-565 (2020) - [j40]Yunqiang Duan
A Metric-Learning-Based Nonlinear Modeling Algorithm and Its Application in Key-Performance-Indicator Prediction. IEEE Trans. Ind. Electron. 67(8): 7073-7082 (2020) - [j39]Fei Chang
A Lightweight Appearance Quality Assessment System Based on Parallel Deep Learning for Painted Car Body. IEEE Trans. Instrum. Meas. 69(8): 5298-5307 (2020)
2010 – 2019
- 2019
- [c10]Fei Chang, Yunqiang Duan, Min Liu, Mingyu Dong:
Coarse-to-Fine Adaptive Illumination Hard-Adjustment for Vision Inspection System Under Uncertain Imaging Conditions. IEEE SENSORS 2019: 1-4 - 2018
- [j38]Shenglong Jiang, Zhong Zheng
A preference-inspired multi-objective soft scheduling algorithm for the practical steelmaking-continuous casting production. Comput. Ind. Eng. 115: 582-594 (2018) - [j37]Qie Liu, Min Liu, Wenfa Wu:
Strong/Weak Feature Recognition of Promoters Based on Position Weight Matrix and Ensemble Set-Valued Models. J. Comput. Biol. 25(10): 1152-1160 (2018) - [j36]Hua-xing Zhong
An Operation-Group Based Soft Scheduling Approach for Uncertain Semiconductor Wafer Fabrication System. IEEE Trans. Syst. Man Cybern. Syst. 48(8): 1332-1347 (2018) - 2017
- [j35]Shenglong Jiang, Zhong Zheng
A multi-stage dynamic soft scheduling algorithm for the uncertain steelmaking-continuous casting scheduling problem. Appl. Soft Comput. 60: 722-736 (2017) - [j34]Jian-hua Lin, Min Liu, Jinghua Hao, Peng Gu:
Many-objective harmony search for integrated order planning in steelmaking-continuous casting-hot rolling production of multi-plants. Int. J. Prod. Res. 55(14): 4003-4020 (2017) - [j33]Qie Liu
Iteration Tuning of Disturbance Observer-Based Control System Satisfying Robustness Index for FOPTD Processes. IEEE Trans. Control. Syst. Technol. 25(6): 1978-1988 (2017) - [j32]Zhichao Wang
Riemannian Alternative Matrix Completion for Image-Based Flame Recognition. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2490-2503 (2017) - [j31]Shenglong Jiang, Min Liu, Jinghua Hao:
A Two-Phase Soft Optimization Method for the Uncertain Scheduling Problem in the Steelmaking Industry. IEEE Trans. Syst. Man Cybern. Syst. 47(3): 416-431 (2017) - 2016
- [j30]Jinghua Hao, Min Liu, Jian-hua Lin, Cheng Wu:
A hybrid differential evolution approach based on surrogate modelling for scheduling bottleneck stages. Comput. Oper. Res. 66: 215-224 (2016) - [j29]Jian-hua Lin
A multi-objective optimization approach for integrated production planning under interval uncertainties in the steel industry. Comput. Oper. Res. 72: 189-203 (2016) - [j28]Shenglong Jiang, Min Liu, Jian-hua Lin, Hua-xing Zhong:
A prediction-based online soft scheduling algorithm for the real-world steelmaking-continuous casting production. Knowl. Based Syst. 111: 159-172 (2016) - [c9]Chuanguang Zhou, Zhengcai Cao, Min Liu, Jiaqi Zhang:
Model reduction method based on selective clustering ensemble algorithm and Theory of Constraints in semiconductor wafer fabrication. CASE 2016: 885-890 - 2015
- [j27]Shenglong Jiang, Min Liu, Jinghua Hao, Wangping Qian:
A bi-layer optimization approach for a hybrid flow shop scheduling problem involving controllable processing times in the steelmaking industry. Comput. Ind. Eng. 87: 518-531 (2015) - [j26]Jinghua Hao, Min Liu, Shenglong Jiang, Cheng Wu:
A soft-decision based two-layered scheduling approach for uncertain steelmaking-continuous casting process. Eur. J. Oper. Res. 244(3): 966-979 (2015) - [j25]Shengyao Wang, Ling Wang, Min Liu, Ye Xu:
An order-based estimation of distribution algorithm for stochastic hybrid flow-shop scheduling problem. Int. J. Comput. Integr. Manuf. 28(3): 307-320 (2015) - [j24]Ye Xu, Ling Wang, Shengyao Wang, Min Liu:
An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time. Neurocomputing 148: 260-268 (2015) - [j23]Kefeng Ning, Min Liu, Mingyu Dong:
A new robust ELM method based on a Bayesian framework with heavy-tailed distribution and weighted likelihood function. Neurocomputing 149: 891-903 (2015) - [j22]Shengyao Wang, Ling Wang, Min Liu, Ye Xu:
A hybrid estimation of distribution algorithm for the semiconductor final testing scheduling problem. J. Intell. Manuf. 26(5): 861-871 (2015) - [j21]Kefeng Ning, Min Liu, Mingyu Dong, Cheng Wu, Zhansong Wu:
Two Efficient Twin ELM Methods With Prediction Interval. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2058-2071 (2015) - 2014
- [j20]Ling Wang, Chen Fang, Ponnuthurai Nagaratnam Suganthan
Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm. Expert Syst. Appl. 41(5): 2496-2513 (2014) - [j19]Lu Guo, Jinghua Hao, Min Liu:
An incremental extreme learning machine for online sequential learning problems. Neurocomputing 128: 50-58 (2014) - [c8]Jijie Deng, Zhengcai Cao, Min Liu:
A bottleneck prediction and rolling horizon scheme combined dynamic scheduling algorithm for semiconductor wafer fabrication. ICNSC 2014: 58-63 - [c7]Kefeng Ning, Min Liu, Mingyu Dong, Zhansong Wu:
Robust LS-SVR based on variational Bayesian and its applications. IJCNN 2014: 2920-2926 - 2013
- [j18]Mingwen Shao, Min Liu, Li Guo:
Vector-based Attribute Reduction Method for Formal Contexts. Fundam. Informaticae 126(4): 397-414 (2013) - [j17]Yunqiang Yin, Min Liu, T. C. E. Cheng
Four single-machine scheduling problems involving due date determination decisions. Inf. Sci. 251: 164-181 (2013) - [j16]Quan-Ke Pan
A High Performing Memetic Algorithm for the Flowshop Scheduling Problem With Blocking. IEEE Trans Autom. Sci. Eng. 10(3): 741-756 (2013) - [j15]Ling Wang, Chen Fang, Chundi Mu, Min Liu:
A Pareto-Archived Estimation-of-Distribution Algorithm for Multiobjective Resource-Constrained Project Scheduling Problem. IEEE Trans. Engineering Management 60(3): 617-626 (2013) - [c6]Shengyao Wang, Ling Wang, Min Liu, Ye Xu:
An estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem. CISched 2013: 1-8 - 2012
- [j14]Ling Wang, Shengyao Wang, Ye Xu, Gang Zhou, Min Liu:
A bi-population based estimation of distribution algorithm for the flexible job-shop scheduling problem. Comput. Ind. Eng. 62(4): 917-926 (2012) - [j13]Lu Guo, Jinghua Hao, Min Liu:
Study on prediction models for integrated scheduling in semiconductor manufacturing lines. Comput. Sci. Inf. Syst. 9(4): 1663-1677 (2012) - [j12]Ling Wang, Xiang Zhong, Min Liu:
A novel group search optimizer for multi-objective optimization. Expert Syst. Appl. 39(3): 2939-2946 (2012) - [j11]Yunqiang Yin, Min Liu, Jinghua Hao, Mengchu Zhou:
Single-Machine Scheduling With Job-Position-Dependent Learning and Time-Dependent Deterioration. IEEE Trans. Syst. Man Cybern. Part A 42(1): 192-200 (2012) - [c5]Mingyu Dong, Kefeng Ning, Min Liu:
A new ELM based on interval-value for modeling in industry systems. CASE 2012: 869-873 - [c4]Ming-Wen Shao, Min Liu, Jinghua Hao:
Attribute characteristics of combined formal contexts. CCIS 2012: 164-169 - [c3]Bo Li, Zhengcai Cao, Min Liu, Jinghua Hao:
Approach to complex hydrogen reactor optimization modeling based on ANFIS. CCIS 2012: 170-175 - 2010
- [j10]Guohu Li, Min Liu, Mingyu Dong:
A new online learning algorithm for structure-adjustable extreme learning machine. Comput. Math. Appl. 60(3): 377-389 (2010) - [j9]Min Liu, Mingyu Dong, Cheng Wu:
A New ANFIS for Parameter Prediction With Numeric and Categorical Inputs. IEEE Trans Autom. Sci. Eng. 7(3): 645-653 (2010)
2000 – 2009
- 2008
- [j8]Min Liu, Jinghua Hao, Cheng Wu:
A prediction based iterative decomposition algorithm for scheduling large-scale job shops. Math. Comput. Model. 47(3-4): 411-421 (2008) - 2007
- [j7]Min Liu, Ming-Wen Shao, Wen-Xiu Zhang, Cheng Wu:
Reduction method for concept lattices based on rough set theory and its application. Comput. Math. Appl. 53(9): 1390-1410 (2007) - [j6]Ming-Wen Shao, Min Liu, Wen-Xiu Zhang:
Set approximations in fuzzy formal concept analysis. Fuzzy Sets Syst. 158(23): 2627-2640 (2007) - 2006
- [j5]Min Liu, Degang Chen, Cheng Wu, Hongxing Li:
Approximation theorem of the fuzzy transform in fuzzy reasoning and its application to the scheduling problem. Comput. Math. Appl. 51(3-4): 515-526 (2006) - [j4]Min Liu, Degang Chen, Cheng Wu, Hongxing Li:
Fuzzy reasoning based on a new fuzzy rough set and its application to scheduling problems. Comput. Math. Appl. 51(9-10): 1507-1518 (2006) - [j3]Min Liu, Degang Chen, Cheng Wu, Hongxing Li:
Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems. Comput. Math. Appl. 51(9-10): 1571-1584 (2006) - [c2]Ming-Wen Shao, Min Liu, Wen-Xiu Zhang:
Rough Fuzzy Set Approximations in Fuzzy Formal Contexts. RSCTC 2006: 137-146 - 2004
- [c1]Hua Zhou, Min Liu, Cheng Wu:
A VOC Based Approach to Support Virtual Organizations. ICEB 2004: 692-695 - 2003
- [j2]Min Liu, Fachao Li, Cheng Wu:
Fuzzy metric based on the distance function of plane and its application in optimal scheduling problems. Sci. China Ser. F Inf. Sci. 46(3): 210-224 (2003) - 2002
- [j1]Min Liu, Fachao Li, Cheng Wu:
The order structure of fuzzy numbers based on the level characteristics and its application to optimization problems. Sci. China Ser. F Inf. Sci. 45(6): 433-441 (2002)
Coauthor Index
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