Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
AImers-6G: AI-Driven Region-Temporal Resource Provisioning for 6G Immersive Services
Published in IEEE Wireless Communications, 2023
Recommended citation: Qiu Chao, Zheyuan Chen, Xiaoxu Ren, Ziming Dai, Cheng Zhang, and Xiaofei Wang. "AImers-6G: AI-driven region-temporal resource provisioning for 6G immersive services." IEEE Wireless Communications 30, no. 3 (2023): 196-203.
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MG²FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems
Published in IEEE GLOBECOM, 2023
Recommended citation: Ziming Dai, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, and F. Richard Yu. "MG²FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems." In GLOBECOM 2023-2023 IEEE Global Communications Conference, pp. 152-157. IEEE, 2023.
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Multi-Granularity Federated Learning by Graph-Partitioning
Published in IEEE Transactions on Cloud Computing, 2024
Recommended citation: Ziming Dai, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, Haipeng Yao, and Dusit Niyato. "Multi-Granularity Federated Learning by Graph-Partitioning." IEEE Transactions on Cloud Computing 13, no. 1 (2024): 18-33.
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Stratos: An End-to-End Distillation Pipeline for Customized LLMs under Distributed Cloud Environments
Published in AAAI, 2025
Recommended citation: Ziming Dai, Tuo Zhang, Fei Gao, Xingyi Cai, Xiaofei Wang, Cheng Zhang, Wenyu Wang, and Chengjie Zang. "Stratos: An End-to-End Distillation Pipeline for Customized LLMs Under Distributed Cloud Environments." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 47, pp. 40506-40512. 2026.
ACME: Adaptive Customization of Large Models via Distributed Systems
Published in IEEE ICDCS, 2025
Recommended citation: Ziming Dai, Chao Qiu, Fei Gao, Yunfeng Zhao, Xiaofei Wang. "ACME: Adaptive Customization of Large Models via Distributed Systems." In 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS), pp. 45-55. IEEE, 2025.
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TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning
Published in Arxiv, 2026
Recommended citation: Dabiao Ma, Ziming Dai, Zhimin Xin, Shu Wang, Jian Yang, and Haojun Fei. "TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning." arXiv preprint arXiv:2511.16147 (2026).
NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models
Published in Arxiv, 2026
Recommended citation: Ziming Dai, Dabiao Ma, Jinle Tong, Mengyuan Han, Jian Yang, Hongtao Liu, Haojun Fei, and Qing Yang. "NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models." arXiv preprint arXiv:2601.10457 (2026).
talks
Talk 1 on Relevant Topic in Your Field
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Tutorial 1 on Relevant Topic in Your Field
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Talk 2 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Heading 3
Teaching experience 2
Workshop, University 1, Department, 2015
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