[ArXiv'25]
Shengyuan Ye,
Bei Ouyang,
Tianyi Qian,
Liekang Zeng,
Jingyi Li,
Jiangsu Du,
Xiaowen Chu,
Guoliang Xing,
Xu Chen,
"Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing".
Under Review, 2025.
[IEEE TMC'25]
Shengyuan Ye,
Bei Ouyang,
Jiangsu Du,
Liekang Zeng,
Tianyi Qian,
Wenzhong Ou,
Xiaowen Chu,
Deke Guo,
Yutong Lu,
Xu Chen,
"Resource-Efficient Collaborative Edge Transformer Inference with Hybrid Model Parallelism".
IEEE Transactions on Mobile Computing (IEEE TMC), 2025.
CCF-A
中科院一区(Top)
[IEEE TIFS'25]
Jingyi Li,
Wenzhong Ou,
Bei Ouyang,
Shengyuan Ye,
Liekang Zeng,
Lin Chen,
Xu Chen,
"Revisiting Location Privacy in MEC-Enabled Computation Offloading".
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2025.
CCF-A
中科院一区(Top)
[IEEE COMST'25]
Liekang Zeng,
Shengyuan Ye,
Xu Chen,
Xiaoxi Zhang,
Ju Ren,
Jian Tang,
Yang Yang,
Xuemin (Sherman) Shen,
"Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence".
IEEE Communications Surveys and Tutorials (IEEE COMST), 2025.
中科院一区(Top)
[IEEE TPDS'25]
Jiangsu Du,
Yuanxin Wei,
Shengyuan Ye,
Jiazhi Jiang,
Dan Huang,
Xu Chen,
Yutong Lu,
"Co-designing Transformer Architectures for Distributed Inference with Low Communication".
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025.
CCF-A
中科院二区(Top)
[INFOCOM'25]
Shengyuan Ye,
Bei Ouyang,
Liekang Zeng,
Tianyi Qian,
Xiaowen Chu,
Jian Tang,
Xu Chen,
"Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices".
IEEE International Conference on Computer Communications (INFOCOM), 2025.
CCF-A
[IEEE MSN'24]
Ke Luo,
Kongyange Zhao,
Shengyuan Ye,
Tao Ouyang,
Xu Chen,
"MIX3D: A Mixed Representation for Communication-Efficient Distributed 3DGS Training".
The 20th IEEE International Conference on Mobility, Sensing and Networking (IEEE MSN), 2024.
CCF-C
[IFIP NPC'24]
Ke Luo,
Shengyuan Ye,
Tao Ouyang,
Zhi Zhou,
"MEGA: Mesh-Aligned 3DGS Towards Geometry-Preserving Online Reconstruction".
IFIP International Conference on Network and Parallel Computing (IFIP NPC), 2024.
CCF-C
🏵️ Best Student Paper Award
[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".
International Conference on Parallel Processing (ICPP), 2024.
CCF-B
[IEEE WCM'24]
Liekang Zeng,
Shengyuan Ye,
Xu Chen,
Yang Yang,
"Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing".
IEEE Wireless Communications (IEEE WCM), 2024.
中科院一区(Top)
[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".
IEEE International Conference on Computer Communications (INFOCOM), 2024.
CCF-A
🏵️ IEEE ComSoc Student Travel Grant Award
[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".
Annual International Conference On Mobile Computing And Networking (MobiCom), 2024.
CCF-A
🏵️ Top #1 Conference in Mobile Computing and Computer Networks
[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".
Design, Automation and Test in Europe Conference (DATE), 2024.
CCF-B
[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".
International Conference on Parallel Processing (ICPP), 2022.
CCF-B