| An incremental extreme learning machine for online sequential learning problems L Guo, J Hao, M Liu Neurocomputing 128, 50-58, 2014 | 93 | 2014 |
| 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 | 78 | 2015 |
| 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 | 75 | 2011 |
| 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 | 68 | 2016 |
| 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 | 47 | 2015 |
| 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 | 35 | 2013 |
| 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 | 33 | 2008 |
| 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 | 32 | 2016 |
| 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 | 31 | 2021 |
| 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 | 19 | 2020 |
| 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 | 16 | 2016 |
| 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 | 15 | 2020 |
| 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 | 13 | 2016 |
| 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 | 12 | 2017 |
| 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 | 11 | 2020 |
| 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 | 11 | 2017 |
| 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 | 10 | 2020 |
| 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 | 9 | 2010 |
| ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service T Feng, H Yan, H Wang, W Huang, Y Han, H Liao, J Hao, Y Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| A framework for multi-stage bonus allocation in meal delivery platform Z Wu, L Wang, F Huang, L Zhou, Y Song, C Ye, P Nie, H Ren, J Hao, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
