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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
Handscript of 《Digital Stippling Survey》
Published:
Martín, Domingo, et al. “A survey of digital stippling.” Computers & Graphics 67 (2017): 24-44.
Handscript of 《Deep Learning for NER Survey》
Published:
Li, Jing, et al. “A survey on deep learning for named entity recognition.” IEEE Transactions on Knowledge and Data Engineering 34.1 (2020): 50-70.
Handscript of 《Lyapunov-Guided Deep Reinforcement Learning…》
Published:
Bi, Suzhi, et al. “Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks.” IEEE Transactions on Wireless Communications 20.11 (2021): 7519-7537.
Handscript of 《Auction-Based VM Allocation…》
Published:
Gao, Guoju, et al. “Auction-based VM allocation for deadline-sensitive tasks in distributed edge cloud.” IEEE Transactions on Services Computing (2019).
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
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. "MG 2 FL: 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 (2024).
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Stratos: An End-to-End Distillation Pipeline for Customized LLMs under Distributed Cloud Environments
Published in NaN, 2025
Recommended citation: Ziming Dai "Stratos: An End-to-End Distillation Pipeline for Customized LLMs under Distributed Cloud Environments"
AIME: Adaptive Inference with Model Evolution for Efficient On-Device Large Language Model Serving
Published in IEEE ICDCS, 2025
Recommended citation: Ziming Dai, Yunfeng Zhao, Yuxuan Wang, Jinhui Xu, Jinhang Song, Chao Qiu, and Salman Avestimehr. "AIME: Adaptive Inference with Model Evolution for Efficient On-Device Large Language Model Serving." IEEE ICDCS 2025.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
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
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.