Selected Publications | Shengyuan Ye (叶盛源)

[arXiv] Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence.
Liekang Zeng, Shengyuan Ye, Xu Chen, Xiaoxi Zhang, Ju Ren, Jian Tang, Yang Yang, Xuemin Shen.
Under review.

[ICPP'24] Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-Tuning.
Bei Ouyang, Shengyuan Ye, Liekang Zeng, Tianyi Qian, Jingyi Li, Xu Chen.
International Conference on Parallel Processing (ICPP), 2024. CCF-B.

[IEEE-WCM'24] Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing.
Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang.
IEEE Wireless Communications (IEEE-WCM), 2024. SCI-1, IF=12.9, 中科院一区(Top).

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[INFOCOM'24] Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference.
Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen.
IEEE International Conference on Computer Communications (INFOCOM), 2024. CCF-A.

Cite Paper Slides Videos Press IEEE ComSoc Student Travel Grant Award

[MobiCom'24] Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices.
Shengyuan Ye, Liekang Zeng, Xiaowen Chu, Guoliang Xing, Xu Chen.
Annual International Conference On Mobile Computing And Networking (MobiCom), 2024. CCF-A.

Cite Paper Demo Top #1 conference in Mobile Computing and Computer Networks

[DATE'24] Communication-Efficient Model Parallelism for Distributed In-situ Transformer Inference.
Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du, Yutong Lu.
Design, Automation and Test in Europe Conference (DATE), 2024. CCF-B.

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[ICPP'22] Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training.
Shengyuan Ye, Liekang Zeng, Qiong Wu, Ke Luo, Qingze Fang, Xu Chen.
International Conference on Parallel Processing (ICPP), 2022. CCF-B.

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