| An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems H Yang, M Siew, C Joe-Wong International Workshop on Foundation Models for Cyber-Physical Systems …, 2024 | 48* | 2024 |
| 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 | 35 | 2020 |
| 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 | 33* | 2021 |
| 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 | 32 | 2019 |
| 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 | 30 | 2021 |
| Llm-powered decentralized generative agents with adaptive hierarchical knowledge graph for cooperative planning H Yang, J Chen, M Siew, T Lorido-Botran, C Joe-Wong AAAI 2025 Workshop on Multi-Agent AI in the Real World (MARW), 2025 | 18 | 2025 |
| 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 | 11 | 2020 |
| 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 | 10 | 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 | 10 | 2023 |
| 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, ... IEEE Transactions on Networking, 2024 | 8 | 2024 |
| Digital twin-assisted semi-federated learning framework for industrial edge intelligence W Xiongyue, T Jianhua, M Siew China Communications 21 (5), 314-329, 2024 | 8 | 2024 |
| 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 17 (1), 82-97, 2023 | 7 | 2023 |
| A distributed collaborative data relay method: VLEO earth observation constellation cross-layer access to the mega-LEO satellite internet K Han, M Siew, B Xu, S Guo, T Wang, W Gong, TQS Quek, Q Ren IEEE Internet of Things Journal, 2024 | 5 | 2024 |
| 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 | 5 | 2023 |
| On-demand optimization method for cross-layer topology in multi-task VLEO and mega-LEO heterogeneous satellite networks K Han, M Siew, B Xu, S Guo, W Gong, TQS Quek, Q Ren IEEE Transactions on Wireless Communications, 2025 | 4 | 2025 |
| Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning H Zhang, Z Li, Z Gong, M Siew, C Joe-Wong, R El-Azouzi IEEE 44th International Conference on Distributed Computing Systems (ICDCS), 2024 | 4 | 2024 |
| 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 |
| FIRE: A Failure-Adaptive RL Framework for Edge Computing Migrations M Siew, S Sharma, Z Li, K Guo, C Xu, T Lorido-Botran, TQS Quek, ... IEEE Transactions on Services Computing, 2025 | 3* | 2025 |
| Towards optimal heterogeneous client sampling in multi-model federated learning H Zhang, Z Gong, Z Li, M Siew, C Joe-Wong, R El-Azouzi arXiv preprint arXiv:2504.05138, 2025 | 3 | 2025 |
| 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 | 3 | 2023 |
Tony Q.S. QuekAssociate Provost (AI & Digital Innovation) and Chair Professor, SUTDVerified email at ieee.org
