Selected Publications

Full Publications, indicates equal contribution, indicates members of the research group I lead.
[ArXiv'25] Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing.
Shengyuan Ye, Bei Ouyang, Tianyi Qian, Liekang Zeng, Jingyi Li, Jiangsu Du, Xiaowen Chu, Guoliang Xing, Xu Chen.
Under Review, 2025.

[ArXiv'25] Resource-Efficient Collaborative Edge Transformer Inference with Hybrid Model Parallelism.
Shengyuan Ye, Bei Ouyang, Jiangsu Du, Liekang Zeng, Tianyi Qian, Wenzhong Ou, Xiaowen Chu, Deke Guo, Yutong Lu, Xu Chen.
Under Review, 2025.

[INFOCOM'25] Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices.
Shengyuan Ye, Bei Ouyang, Liekang Zeng, Tianyi Qian, Xiaowen Chu, Jian Tang, Xu Chen.
IEEE International Conference on Computer Communications (INFOCOM), 2025. CCF-A

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[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

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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 Slides Poster 🏵️ Top #1 Conference in Mobile Computing and Computer Networks

[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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