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jinghua hao
jinghua hao
Meituan Dianping
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Title
Cited by
Cited by
Year
An incremental extreme learning machine for online sequential learning problems
L Guo, J Hao, M Liu
Neurocomputing 128, 50-58, 2014
942014
Single-machine scheduling with job-position-dependent learning and time-dependent deterioration
Y Yin, M Liu, J Hao, M Zhou
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2011
752011
A bi-layer optimization approach for a hybrid flow shop scheduling problem involving controllable processing times in the steelmaking industry
S Jiang, M Liu, J Hao, W Qian
Computers & Industrial Engineering 87, 518-531, 2015
742015
A multi-objective optimization approach for integrated production planning under interval uncertainties in the steel industry
J Lin, M Liu, J Hao, S Jiang
Computers & Operations Research 72, 189-203, 2016
672016
A soft-decision based two-layered scheduling approach for uncertain steelmaking-continuous casting process
J Hao, M Liu, S Jiang, C Wu
European Journal of Operational Research 244 (3), 966-979, 2015
432015
A prediction based iterative decomposition algorithm for scheduling large-scale job shops
M Liu, JH Hao, C Wu
Mathematical and Computer Modelling 47 (3-4), 411-421, 2008
352008
Scheduling tool changes and special jobs on a single machine to minimize makespan
D Xu, M Liu, Y Yin, J Hao
Omega 41 (2), 299-304, 2013
342013
A two-phase soft optimization method for the uncertain scheduling problem in the steelmaking industry
S Jiang, M Liu, J Hao
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (3), 416-431, 2016
322016
A deep learning method for route and time prediction in food delivery service
C Gao, F Zhang, G Wu, Q Hu, Q Ru, J Hao, R He, Z Sun
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
262021
An effective iterated greedy algorithm for online route planning problem
X Wang, S Wang, L Wang, H Zheng, J Hao, R He, Z Sun
2020 IEEE Congress on evolutionary computation (CEC), 1-8, 2020
192020
A hybrid differential evolution approach based on surrogate modelling for scheduling bottleneck stages
J Hao, M Liu, J Lin, C Wu
Computers & Operations Research 66, 215-224, 2016
172016
A two-stage algorithm for fuzzy online order dispatching problem
J Zheng, S Wang, L Wang, J Chen, L Wang, J Hao, R He, Z Sun
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
142020
Many-objective harmony search for integrated order planning in steelmaking-continuous casting-hot rolling production of multi-plants
J Lin, M Liu, J Hao, P Gu
International Journal of Production Research 55 (14), 4003-4020, 2017
122017
A hybrid differential evolution algorithm for the online meal delivery problem
J Chen, S Wang, L Wang, J Zheng, Y Cha, J Hao, R He, Z Sun
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
112020
Simultaneous prediction for multiple key performance indicators in semiconductor wafer fabrication
Z Cao, X Liu, J Hao, M Liu
Chinese Journal of Electronics 25 (6), 1159-1165, 2016
112016
An operation-group based soft scheduling approach for uncertain semiconductor wafer fabrication system
H Zhong, M Liu, J Hao, S Jiang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (8), 1332-1347, 2017
102017
Two fast heuristics for online order dispatching
Q Zhou, H Zheng, S Wang, J Hao, R He, Z Sun, X Wang, L Wang
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
92020
Particle swarm optimization for parallel machine scheduling problem with machine eligibility constraints
J Hao, M Liu, W Cheng
Chinese Journal of Electronics 19 (1), 1-4, 2010
92010
A new genetic algorithm for parallel machine scheduling problems with procedure constraints and its applications
L Min, H Jinghua, W Chen
Chinese Journal of Electronics 15 (3), 463-466, 2006
92006
A surrogate modelling approach combined with differential evolution for solving bottleneck stage scheduling problems
J Hao, M Liu
2014 world automation congress (WAC), 120-124, 2014
62014
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Articles 1–20