Learning-Based Pricing for Privacy-Preserving Job Offloading in Mobile Edge Computing. - Lingxiang Li; Marie Siew; Tony Q. S. Quek (ICASSP, 2019)

Learning-Based Priority Pricing for Job Offloading in Mobile Edge Computing. - Lingxiang Li; Marie Siew; Tony Q. S. Quek; Ju Ren 001; Zhi Chen 002; Yaoxue Zhang (CoRR, 2019)

A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing. - Marie Siew; Desmond W. H. Cai; Lingxiang Li; Tony Q. S. Quek (GLOBECOM, 2020)

Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing. - Marie Siew; Desmond W. H. Cai; Lingxiang Li; Tony Q. S. Quek (IEEE Trans. Netw. Sci. Eng., 2020)

Let's Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems. - Marie Siew; Kun Guo 002; Desmond W. H. Cai; Lingxiang Li; Tony Q. S. Quek (INFOCOM, 2021)

Optimal Pricing for Job Offloading in the MEC System With Two Priority Classes. - Lingxiang Li; Marie Siew; Zhi Chen 002; Tony Q. S. Quek (IEEE Trans. Veh. Technol., 2021)

Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework. - Marie Siew; Kun Guo 002; Desmond W. H. Cai; Wanli Wen; Carlee Joe-Wong; Tony Q. S. Quek (CoRR, 2022)

FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations. - Marie Siew; Shikhar Sharma; Kun Guo 002; Chao Xu 007; Tony Q. S. Quek; Carlee Joe-Wong (CoRR, 2022)

ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations. - Marie Siew; Shikhar Sharma; Carlee Joe-Wong (CISS, 2023)

Minimizing the THz Communication Outage Probability with ISAC for Delay-Sensitive Services. - Sha Xie; Marie Siew; Lingxiang Li; Zhi Chen 002; Tianlong Yang (GLOBECOM, 2023)

Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading. - Shuying Gan; Marie Siew; Chao Xu 007; Tony Q. S. Quek (ICC, 2023)

Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. - Marie Siew; Shoba Arunasalam; Yichen Ruan; Ziwei Zhu; Lili Su; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong (IPSN, 2023)

Cache-Enabled Federated Learning Systems. - Yuezhou Liu; Lili Su; Carlee Joe-Wong; Stratis Ioannidis; Edmund Yeh; Marie Siew (MobiHoc, 2023)

Distributed Multi-objective Topology Optimization Method in VLEO-LEO Satellite Networks. - Kai Han 007; Bingbing Xu 005; Marie Siew; Wenbin Gong; Tony Q. S. Quek; Qianyi Ren (GLOBECOM, 2024)

Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning. - Haoran Zhang; Zekai Li; Zejun Gong; Marie Siew; Carlee Joe-Wong; Rachid El Azouzi (ICDCS, 2024)

An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems. - Hanqing Yang 007; Marie Siew; Carlee Joe-Wong (CoRR, 2024)

Fair Concurrent Training of Multiple Models in Federated Learning. - Marie Siew; Haoran Zhang; Jong-Ik Park; Yuezhou Liu; Yichen Ruan; Lili Su; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong (CoRR, 2024)

Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework. - Marie Siew; Shikhar Sharma; Kun Guo 002; Desmond W. H. Cai; Wanli Wen; Carlee Joe-Wong; Tony Q. S. Quek (IEEE Trans. Serv. Comput., 2024)

LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning. - Hanqing Yang 007; Jingdi Chen; Marie Siew; Tania Lorido-Botran; Carlee Joe-Wong (CoRR, 2025)

Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning. - Haoran Zhang; Zejun Gong; Zekai Li; Marie Siew; Carlee Joe-Wong; Rachid El Azouzi (CoRR, 2025)

A Distributed Collaborative Data Relay Method: VLEO Earth Observation Constellation Cross-Layer Access to the Mega-LEO Satellite Internet. - Kai Han 007; Marie Siew; Bingbing Xu 005; Shengjun Guo; Tianxiang Wang; Wenbin Gong; Tony Q. S. Quek; Qianyi Ren (IEEE Internet Things J., 2025)

Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC). - Nan Li; Wanting Yang; Marie Siew; Zehui Xiong; Binbin Chen; Shiwen Mao; Kwok-Yan Lam (CoRR, 2025)

Decentralized Federated Learning Framework for Social IoT With Dynamic Network Topology. - Xuan Liang; Jianhua Tang; Marie Siew (IEEE Internet Things J., 2025)