| Two-echelon location-routing optimization with time windows based on customer clustering Y Wang, K Assogba, Y Liu, X Ma, M Xu, Y Wang Expert Systems with Applications 104, 244-260, 2018 | 157 | 2018 |
| Multi-depot green vehicle routing problem with shared transportation resource: Integration of time-dependent speed and piecewise penalty cost Y Wang, K Assogba, J Fan, M Xu, Y Liu, H Wang Journal of Cleaner Production 232, 12-29, 2019 | 149 | 2019 |
| Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup Y Wang, J Zhang, K Assogba, Y Liu, M Xu, Y Wang Knowledge-Based Systems 160, 296-310, 2018 | 104 | 2018 |
| Economic and environmental evaluations in the two-echelon collaborative multiple centers vehicle routing optimization Y Wang, S Zhang, K Assogba, J Fan, M Xu, Y Wang Journal of Cleaner Production 197, 443-461, 2018 | 75 | 2018 |
| Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing Y Wang, S Peng, C Xu, K Assogba, H Wang, M Xu, Y Wang Expert Systems with Applications 113, 44-65, 2018 | 62 | 2018 |
| Implementation of cooperation for recycling vehicle routing optimization in two-echelon reverse logistics networks Y Wang, S Peng, K Assogba, Y Liu, H Wang, M Xu, Y Wang Sustainability 10 (5), 1358, 2018 | 34 | 2018 |
| Exploiting cxl-based memory for distributed deep learning M Arif, K Assogba, MM Rafique, S Vazhkudai Proceedings of the 51st International Conference on Parallel Processing, 1-11, 2022 | 21 | 2022 |
| Design and Profit Allocation in Two‐Echelon Heterogeneous Cooperative Logistics Network Optimization Y Wang, Y Yuan, K Assogba, K Gong, H Wang, M Xu, Y Wang Journal of Advanced Transportation 2018 (1), 4607493, 2018 | 16 | 2018 |
| On realizing efficient deep learning using serverless computing K Assogba, M Arif, MM Rafique, DS Nikolopoulos 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 10 | 2022 |
| Canary: fault-tolerant faas for stateful time-sensitive applications M Arif, K Assogba, MM Rafique SC22: International Conference for High Performance Computing, Networking …, 2022 | 8 | 2022 |
| Optimization of energy supply system under information variations based on gas stations queuing analyses G Xu, M Xu, Y Wang, Y Liu, K Assogba Systems Science & Control Engineering 6 (2), 10-23, 2018 | 5 | 2018 |
| Building the I (Interoperability) of FAIR for performance reproducibility of large-scale composable workflows in RECUP B Nicolae, TZ Islam, R Ross, H Van Dam, K Assogba, P Shpilker, M Titov, ... 2023 IEEE 19th International Conference on e-Science (e-Science), 1-7, 2023 | 2 | 2023 |
| Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics K Assogba, B Nicolae, H Van Dam, MM Rafique Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 1 | 2023 |
| PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning K Assogba, E Lima, MM Rafique, M Kwon 2023 IEEE International Conference on Cluster Computing (CLUSTER), 13-24, 2023 | 1 | 2023 |
| Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results N Tan, K Assogba, WJ Ashworth, B Bogale, F Cappello, MM Rafique, ... Proceedings of the 25th International Middleware Conference, 392-403, 2024 | | 2024 |
| Loading data in a tiered memory system SS Vazhkudai, M Arif, K Assogba, MM Rafique US Patent 12,141,068, 2024 | | 2024 |
| Accelerating HPC Workflow Results and Performance Reproducibility Analytics K Assogba, MM Rafique, B Nicolae Poster-SC'24, Doctoral Showcase at the International Conference for High …, 2024 | | 2024 |
| Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering K Assogba, B Nicolae, MM Rafique 2023 IEEE 30th International Conference on High Performance Computing, Data …, 2023 | | 2023 |
| A Data-parallel Approach for Efficient Resource Utilization in Distributed Serverless Deep Learning KTE Assogba Rochester Institute of Technology, 2020 | | 2020 |
Yong WangProfessor in School of Economics and Management, Chongqing Jiaotong UniversityDirección de correo verificada de cqjtu.edu.cn
