| Migration modeling and learning algorithms for containers in fog computing Z Tang, X Zhou, F Zhang, W Jia, W Zhao IEEE Transactions on Services Computing 12 (5), 712-725, 2018 | 221 | 2018 |
| WiFind: Driver fatigue detection with fine-grained Wi-Fi signal features W Jia, H Peng, N Ruan, Z Tang, W Zhao IEEE Transactions on Big Data 6 (2), 269-282, 2018 | 70 | 2018 |
| Representation and reinforcement learning for task scheduling in edge computing Z Tang, W Jia, X Zhou, W Yang, Y You IEEE Transactions on Big Data 8 (3), 795-808, 2020 | 27 | 2020 |
| Dependent task offloading for multiple jobs in edge computing Z Tang, J Lou, F Zhang, W Jia 2020 29th International Conference on Computer Communications and Networks …, 2020 | 26 | 2020 |
| Efficient container assignment and layer sequencing in edge computing J Lou, H Luo, Z Tang, W Jia, W Zhao IEEE Transactions on Services Computing 16 (2), 1118-1131, 2022 | 22 | 2022 |
| Efficient instance reuse approach for service function chain placement in mobile edge computing S Zhang, W Jia, Z Tang, J Lou, W Zhao Computer Networks 211, 109010, 2022 | 18 | 2022 |
| Layer dependency-aware learning scheduling algorithms for containers in mobile edge computing Z Tang, J Lou, W Jia IEEE Transactions on Mobile Computing 22 (6), 3444-3459, 2022 | 18 | 2022 |
| A dynamic resource overbooking mechanism in fog computing F Zhang, Z Tang, M Chen, X Zhou, W Jia 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems …, 2018 | 16 | 2018 |
| Cost-effective scheduling for dependent tasks with tight deadline constraints in mobile edge computing J Lou, Z Tang, S Zhang, W Jia, W Zhao, J Li IEEE Transactions on Mobile Computing 22 (10), 5829-5845, 2022 | 10 | 2022 |
| Startup-aware dependent task scheduling with bandwidth constraints in edge computing J Lou, Z Tang, W Jia, W Zhao, J Li IEEE Transactions on Mobile Computing 23 (2), 1586-1600, 2023 | 9 | 2023 |
| Pricing model for dynamic resource overbooking in edge computing Z Tang, F Zhang, X Zhou, W Jia, W Zhao IEEE Transactions on Cloud Computing 11 (2), 1970-1984, 2022 | 7 | 2022 |
| Multi-user layer-aware online container migration in edge-assisted vehicular networks Z Tang, F Mou, J Lou, W Jia, Y Wu, W Zhao IEEE/ACM Transactions on Networking, 2023 | 4 | 2023 |
| Online joint scheduling of delay-sensitive and computation-oriented tasks in edge computing F Zhang, Z Tang, J Lou, W Jia 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN …, 2019 | 3 | 2019 |
| Online container scheduling for low-latency iot services in edge cluster upgrade: A reinforcement learning approach H Cui, Z Tang, J Lou, W Jia 2023 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2023 | 2 | 2023 |
| Energy-efficient joint task assignment and migration in data centers: A deep reinforcement learning approach J Lou, Z Tang, W Jia IEEE Transactions on Network and Service Management 20 (2), 961-973, 2022 | 2 | 2022 |
| Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach H Cui, Z Tang, J Lou, W Jia, W Zhao IEEE Transactions on Services Computing, 2024 | 1 | 2024 |
| Joint Resource Overbooking and Container Scheduling in Edge Computing Z Tang, F Mou, J Lou, W Jia, Y Wu, W Zhao IEEE Transactions on Mobile Computing, 2024 | 1 | 2024 |
| A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System J Wu, Z Yu, J Guo, Z Tang, T Wang, W Jia arXiv preprint arXiv:2307.08474, 2023 | 1 | 2023 |
| Low-Latency Layer-Aware Proactive and Passive Container Migration in Meta Computing M Liu, Y Li, F Mou, Z Tang, J Lou, J Guo, W Jia arXiv preprint arXiv:2406.13404, 2024 | | 2024 |
| VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework Z Yao, Z Tang, J Lou, P Shen, W Jia arXiv preprint arXiv:2406.13399, 2024 | | 2024 |
Weijia JiaFIEEE, Chair Professor, Beijing Normal University and UICVerified email at uic.edu.cn
