Publications

1. 41. Haoqing Jiang, Qichao Xu, Zhou Su, Marie Siew, Yihao Qi, Zehui Xiong “Incentivizing Efficient Zeroth-Order Federated Fine-Tuning of Generative AI in Satellite-UAV Cooperative Networks”, in Proc. nternational Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) 2026.
2. 40. Qiqi Ren, Zhaoji Zhang, Ying Li, Marie Siew, and Zehui Xiong “Rate-Splitting Grant-Free Transmission for Uplink Coexistence in LEO Satellite Networks”, in Proc. Global Communications Conference (GLOBECOM) 2026.
3. 39. Qiulei Huang, Jiacheng Wang, Zehui Xiong, Chengwen Xing, Marie Siew, Nan Zhao, Sumei Sun “Energy-Efficient Near-Field Sensing for Secure Low-Altitude Networks: Does Mamba Deliver”, in Proc. Global Communications Conference (GLOBECOM) 2026.
4. 38. Haoran Zhang, Caina Figueiredo Pereira, Marie Siew, Xutong Liu, Carlee Joe-Wong, Rachid El-Azouzi, “FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching”, in Proc. Conference on Uncertainty in Artificial Intelligence (UAI) 2026. [Preprint]
5. 37. Binquan Guo, Zhou Zhang*, Junfeng Zhai, Marie Siew*, Zehui Xiong, “Optimizing Virtual Network Embedding Utilization in Data Center Networks via Pattern Matching ”, in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communication (PIMRC) 2026.
6. 36. Yuxin Li, Guangyue Lu, Yinghui Ye, Liqin Shi, Zehui Xiong, Marie Siew, and Tony Q. S. Quek, “Phase-Assisted Modulation and Non-Coherent Detection for Ambient Backscatter Communication”, in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communication (PIMRC) 2026.
7. 35. Yuxin Li, Guangyue Lu, Yinghui Ye, Zehui Xiong, Marie Siew, “Symbol Timing Offset Estimation for Ambient Backscatter Communication”, in IEEE Transactions on Vehicular Technology (TVT) 2026. [Link]
8. 34. Qiqi Ren, Zhaoji Zhang, Ying Li, Guanghui Song, Marie Siew, Zehui Xiong, “Outage Analysis of Uplink Service Coexistence in LEO Satellite Networks With Rate-Splitting Grant-Free Transmission”, IEEE Transactions on Wireless Communication (TWC) 2026. [Link]
9. 33. Yuxin Li, Guangyue Lu, Yinghui Ye, Zehui Xiong, Marie Siew, Liqin Shi, and Xuli Gao, “Timing Synchronization and Symbol Detection in Ambient Backscatter Communication”, in IEEE Transactions on Wireless Communications (TWC) 2026. [Link]
10. 32. Baosheng Li, Weifeng Gao, Xiumei Deng, Jin Xie, Zehui Xiong, Marie Siew, Binquan Guo, Shiwen Mao, Zhu Han, “Decentralized Federated Learning over Time-Varying and Heterogeneous Mobile Computing Networks”, in IEEE Transactions on Mobile Computing (TMC) 2025. [Link]
11. 31. Avirup Das, Marie Siew, Xiaoxi Zhang, and David Yau, “Fairness-aware Adaptive Throughput Optimization for 5G Wireless Networks”, in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Kuala Lumpur, Apr 2026.

1. 30. Nan Li, Wanting Yang, Marie Siew, Zehui Xiong, Binbin Chen, Shiwen Mao, Kwok-Yan Lam, “Hierarchical Collaborative Fine-Tuning for Personalized Edge-End Hybrid Inference of Stable Diffusion Models”, in AAAI 2026 Workshop on Machine Learning for Wireless Communication and Networks, ML4Wireless. Best Student Paper Award!
2. 29. Jiajia Zhou, Ruonan Zhang, Xiaoqian Yi, Marie Siew, Bin Li, Daosen Zhai, “Neural Network-based Vegetation Attenuation Measurement and Modeling for Air-to-Ground Channels”, in AAAI 2026 Workshop on Machine Learning for Wireless Communication and Networks, ML4Wireless.
3. 28. Xuang Liang, Jianhua Tang, Marie Siew, and Tony Q. S. Quek, “Adaptive Clustering-Enabled Large-Scale Decentralized Federated Learning”, in IEEE Transactions on Mobile Computing (TMC) 2025. [Link] [Preprint]
4. 27. Marie Siew, Shikhar Sharma, Zekai Li, Kun Guo, Chao Xu, Tania Lorido-Botran, Tony Q. S. Quek and Carlee Joe-Wong, “FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations”, in IEEE Transactions on Services Computing (TSC) 2025. [Paper] [Preprint] [Code]
5. 26. Binquan Guo, Junteng Cao, Marie Siew, Binbin Chen, Tony Q.S. Quek, Han Zhu, “Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems”, in Proc. IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Guiyang, Nov 2025. [Preprint]
6. 25. Bin Yang, Xuan Liang, Jianhua Tang, Marie Siew, “Buffer-Aided Semi-Asynchronous Federated Learning”, in Proc. IEEE International Conference on Communication Technology (ICCT), Shenyang, Oct 2025.
7. 24. Ruide Cao, Marie Siew, David Yau, “A User-to-User Resource Reselling Game in Open RAN with Buffer Rollover”, in Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, Dec 2025. [Preprint]
8. 23. Xuang Liang, Jianhua Tang, and Marie Siew, “Decentralized Federated Learning Framework for Social IoT with Dynamic Network Topology”, IEEE Internet of Things Journal (IoTJ) 2025. [Link]
9. 22. Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, and Carlee Joe-Wong, “Fair Concurrent Training of Multiple Models in Federated Learning”, IEEE Transactions on Networking (TON) 2025. [Link] [Preprint]
10. 21. Kai Han, Marie Siew*, Bingbing Xu, Shengjun Guo, Wenbin Gong*, Tony Q. S. Quek*, and Qianyi Ren, “On-Demand Optimization Method for Cross-Layer Topology in Multi-Task VLEO and Mega-LEO Heterogeneous Satellite Networks”, IEEE Transactions on Wireless Communication (TWC) 2025. [Link] [Preprint] *corresponding authors
11. 20. Zejun Gong^{^}, Haoran Zhang^{^}, Marie Siew, Carlee Joe-Wong, Rachid El-Azouzi, “Group-based Client Sampling in Multi-Model Federated Learning”, in Proc. IEEE Vehicular Technology Conference (VTC) – Spring, Oslo, June 2025. [Link] ^{^}co-first authors

1. 19. Hanqing Yang, Jingdi Chen, Marie Siew, Tania Lorido-Botran, Carlee Joe-Wong, “LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning”, AAAI 2025 Workshop on Multi-Agent AI in the Real World (MARW), Philadelphia, March 2025. [Project] [Paper] [Code]
2. 18. Aditya Kumar^{^}, Hanqing Yang^{^}, Wai Shun Lee, Jet Wei Goh, Carlee Joe-Wong, Marie Siew, “Towards Adversarially Robust Human-in-the-loop Learning for HVAC Systems”, AAAI 2025 Workshop on Artificial Intelligence for Wireless Communications and Networking (AI4WCN), Philadelphia, March 2025. [Paper] ^{^}co-first authors. *The first & fourth authors are SUTD undergraduate students.
3. 17. Kai Han, Marie Siew*, Bingbing Xu, Shengjun Guo, Tianxiang Wang, Wenbin Gong*, Tony Q. S. Quek*, and Qianyi Ren, “A Distributed Collaborative Data Relay Method: VLEO Earth Observation Constellation Cross-Layer Access to the Mega-LEO Satellite Internet”, IEEE Internet of Things Journal (IoTJ), 2024. [Link]
4. 16. Kai Han, Bingbing Xu, Marie Siew*, Wenbin Gong*, Tony Q. S. Quek*, and Qianyi Ren, “Distributed Multi-objective Topology Optimization Method in VLEO-LEO Satellite Networks”, in Proc. IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa, December 2024. [Link] *corresponding authors
5. 15. Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew*, Carlee Joe-Wong, Rachid El-Azouzi, “Optimal Variance-Reduced Client Sampling for Multiple Model Federated Learning”, in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS Posters), Jersey City, July 2024. [Preprint] [Poster] *corresponding author Best Poster Award!
6. 14. Hanqing Yang, Marie Siew*, and Carlee Joe-Wong, “An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems”, in Proc. International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys), held at CPS-IoT Week, Hong Kong, May 2024. [Code] [Paper] [Preprint] *corresponding author

1. 13. Sha Xie, Marie Siew, Lingxiang Li, Zhi Chen, Tianlong Yang, “Minimizing the THz Communication Outage Probability with ISAC for Delay-Sensitive Services”, in Proc. IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, December 2023. [Link]
2. 12. Marie Siew, Shikhar Sharma, Kun Guo, Desmond Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek, “Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework”, IEEE Trans. Services Computing (TSC), 2023. [Paper] [Preprint]
3. 11. Xiongyue Wu, Jianhua Tang, and Marie Siew, “Digital Twin-assisted Semi-Federated Learning Framework for Industrial Edge Intelligence”, China Communications, 2023. [Link]
4. 10. Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew, “Cache Enabled Federated Learning Systems”, in Proc. International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), Washington DC, October 2023. [Link]
5. 9. Shuying Gan, Marie Siew, Chao Xu and Tony Q. S. Quek, “Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading”, in Proc. IEEE International Conference on Communications (ICC), Rome, May 2023. [Link] [Preprint]
6. 8. Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, and Carlee Joe-Wong, “Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices”, in Proc. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN Posters, CPS-IoT Week), San Antonio, May 2023. [Link] Best Poster Award!
7. 7. Marie Siew, Shikhar Sharma, and Carlee Joe-Wong, “ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations”, in Proc. IEEE Conference on Information Science and Systems (CISS), Baltimore, March 2023. [Link]

1. 6. Lingxiang Li, Marie Siew, Tony Q. S. Quek, and Zhi Chen, “Optimal Pricing for Job Offloading in the MEC System with Two Priority Classes”, IEEE Trans. Vehicular Technology (TVT), vol. 70, no. 8, pp. 8080–8091, Aug. 2021. [Link]
2. 5. Marie Siew, Kun Guo, Desmond Cai, Lingxiang Li, and Tony Q. S. Quek, “Let’s Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems”, in Proc. IEEE International Conference on Computer Communications (INFOCOM), May 2021. [Link] [Preprint]

1. 4. Marie Siew, Desmond Cai, Lingxiang Li, and Tony Q. S. Quek, “A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing”, in Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, Dec 2020. [Link]
2. 3. Marie Siew, Desmond Cai, Lingxiang Li, Tony Q. S. Quek, “Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing”, IEEE Trans. Network Science and Engineering (TNSE), vol. 7, no. 4, pp. 2901–2912, Oct 2020. [Link]
3. 2. Zhi Chen, Lingxiang Li, Marie Siew, and Tony Q. S. Quek, “Edge/Fog Computing Networks”, in Wiley 5G Ref, 2020. [Link]

1. 1. Lingxiang Li, Marie Siew, and Tony Q. S. Quek, “Learning-Based Pricing for Privacy-Preserving Job Offloading in Mobile Edge Computing”, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, May 2019. [Link]

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