| Learning-based pricing for privacy-preserving job offloading in mobile edge computing L Li, M Siew, TQS Quek ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 30 | 2019 |
| Optimal pricing for job offloading in the mec system with two priority classes L Li, M Siew, Z Chen, TQS Quek IEEE Transactions on Vehicular Technology 70 (8), 8080-8091, 2021 | 28* | 2021 |
| Dynamic pricing for resource-quota sharing in multi-access edge computing M Siew, D Cai, L Li, TQS Quek IEEE Transactions on Network Science and Engineering 7 (4), 2901-2912, 2020 | 24 | 2020 |
| Let’s share VMs: Optimal placement and pricing across base stations in MEC systems M Siew, K Guo, D Cai, L Li, TQS Quek IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 20 | 2021 |
| A sharing-economy inspired pricing mechanism for multi-access edge computing M Siew, D Cai, L Li, TQS Quek GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 5 | 2020 |
| Edge/Fog Computing Networks Z Chen, L Li, M Siew, TQS Quek Wiley 5G Ref: The Essential 5G Reference Online, 1-18, 2019 | 4 | 2019 |
| Cache-Enabled Federated Learning Systems Y Liu, L Su, C Joe-Wong, S Ioannidis, E Yeh, M Siew Proceedings of the Twenty-fourth International Symposium on Theory …, 2023 | 1 | 2023 |
| Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices M Siew, S Arunasalam, Y Ruan, Z Zhu, L Su, S Ioannidis, E Yeh, ... Proceedings of the 22nd International Conference on Information Processing …, 2023 | 1 | 2023 |
| Fire: A failure-adaptive reinforcement learning framework for edge computing migrations M Siew, S Sharma, K Guo, C Xu, TQS Quek, C Joe-Wong arXiv preprint arXiv:2209.14399, 2022 | 1 | 2022 |
| Fair Concurrent Training of Multiple Models in Federated Learning M Siew, H Zhang, JI Park, Y Liu, Y Ruan, L Su, S Ioannidis, E Yeh, ... arXiv preprint arXiv:2404.13841, 2024 | | 2024 |
| Digital twin-assisted semi-federated learning framework for industrial edge intelligence W Xiongyue, T Jianhua, M Siew China Communications, 2024 | | 2024 |
| An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems H Yang, M Siew, C Joe-Wong Accepted to International Workshop on Foundation Models for Cyber-Physical …, 2024 | | 2024 |
| Minimizing the THz Communication Outage Probability with ISAC for Delay-Sensitive Services S Xie, M Siew, L Li, Z Chen, T Yang GLOBECOM 2023-2023 IEEE Global Communications Conference, 3990-3995, 2023 | | 2023 |
| Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework M Siew, S Sharma, K Guo, D Cai, W Wen, C Joe-Wong, TQS Quek IEEE Transactions on Services Computing, 2023 | | 2023 |
| Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading S Gan, M Siew, C Xu, TQS Quek 2023 IEEE International Conference on Communications (ICC), 2023 | | 2023 |
| ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations M Siew, S Sharma, C Joe-Wong 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023 | | 2023 |
Tony Q.S. QuekFull Professor and ISTD Pillar Head, SUTDVerified email at ieee.org
