[arXiv]
Liekang Zeng,
Shengyuan Ye,
Xu Chen,
Xiaoxi Zhang,
Ju Ren,
Jian Tang,
Yang Yang,
Xuemin Shen,
"Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence".Under review.
[ICPP'24]
Bei Ouyang,
Shengyuan Ye,
Liekang Zeng,
Tianyi Qian,
Jingyi Li,
Xu Chen,
"Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-Tuning".In International Conference on Parallel Processing (ICPP), 2024.
[IEEE WCM'24]
Liekang Zeng,
Shengyuan Ye,
Xu Chen,
Yang Yang,
"Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing".In IEEE Wireless Communications (IEEE WCM), 2024.
[INFOCOM'24]
Shengyuan Ye,
Jiangsu Du,
Liekang Zeng,
Wenzhong Ou,
Xiaowen Chu,
Yutong Lu,
Xu Chen,
"Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference".In IEEE International Conference on Computer Communications (INFOCOM), 2024.
[MobiCom'24]
Shengyuan Ye,
Liekang Zeng,
Xiaowen Chu,
Guoliang Xing,
Xu Chen,
"Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices".In Annual International Conference On Mobile Computing And Networking (MobiCom), 2024.
[DATE'24]
Yuanxin Wei,
Shengyuan Ye,
Jiazhi Jiang,
Xu Chen,
Dan Huang,
Jiangsu Du,
Yutong Lu,
"Communication-Efficient Model Parallelism for Distributed In-situ Transformer Inference".In Design, Automation and Test in Europe Conference (DATE), 2024.
[ICPP'22]
Shengyuan Ye,
Liekang Zeng,
Qiong Wu,
Ke Luo,
Qingze Fang,
Xu Chen,
"Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training".In International Conference on Parallel Processing (ICPP), 2022.