I am fortunate to work with Prof. Guoliang Xing at CUHK. Before joining CUHK, I was advised by Prof. Xiang-Yang Li and Prof. Lan Zhang at USTC. My research interest is building innovative networking systems for machine-learning model inference.
SCX: Stateless KV-Cache Encoding for Cloud-Scale Confidential Transformer Serving
Mu Yuan, Lan Zhang, Liekang Zeng, Siyang Jiang, Bufang Yang, Di Duan, Guoliang Xing
Accepted by SIGCOMM 2025
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
Yihang Cheng, Lan Zhang, Junyang Wang, Mu Yuan, Yunhao Yao
Accepted by ACL 2025
A-VL: Adaptive Attention for Large Vision-Language Models
Junyang Zhang, Mu Yuan, Ruiguang Zhong, Puhan Luo, Huiyou Zhan, Ningkang Zhang, Chengchen Hu, Xiangyang Li
AAAI 2025
PDF
Myotrainer: Muscle-Aware Motion Analysis and Feedback System for In-Home Resistance Training
Yuting He, Xinyan Wang, Mu Yuan, Di Duan, Doris SF Yu, Guoliang Xing, Hongkai Chen
SenSys 2024 (🏅 Best Demo Runner-Up Award)
Argus: Multi-view egocentric human mesh reconstruction based on stripped-down wearable mmwave add-on
Di Duan, Shengzhe Lyu, Mu Yuan, Hongfei Xue, Tianxing Li, Weitao Xu, Kaishun Wu, Guoliang Xing
SenSys 2025 (🏅 Best Paper Honorable Mention Award)
PDF
PacketGame: Multi-Stream Packet Gating for Concurrent Video Inference at Scale
Mu Yuan, Lan Zhang, Xuanke You, Xiang-Yang Li
ACM SIGCOMM 2023 (SIG Grant Award)
PDF
| Slides
| Code
| Cite
InFi: End-to-end Learnable Input Filter for Resource-efficient Mobile-centric Inference
Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Xiang-Yang Li
ACM MobiCom 2022
PDF
| Slides
| Code
| Bilibili
| Cite
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan, Lan Zhang, Zimu Zheng, Yi-Nan Zhang, Xiang-Yang Li
IEEE TPAMI 2023
PDF
| Cite
Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling
Zichong Li, Lan Zhang, Mu Yuan, Miao-Hui Song, Qi Song
IEEE ICDE 2023
MLink: Linking Black-box Models for Collaborative Multi-model Inference
Mu Yuan, Lan Zhang, Xiang-Yang Li
AAAI 2022 (Oral 4.5%)
PDF
| Slides (20min version)
| Slides (1min version)
| Code
| Bilibili
| Cite
Adaptive Model Scheduling for Resource-efficient Data Labeling
Mu Yuan, Lan Zhang, Xiang-Yang Li, Lin-Zhuo Yang, Hui Xiong
ACM TKDD 2022
PDF
| Cite
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling
Mu Yuan, Lan Zhang, Xiang-Yang Li, Hui Xiong
IEEE ICDE 2020
PDF
| Official Video
| Bilibili
| Slides
| Cite
异构协同模型推理 (Heterogeneous Collaborative Model Inference)
袁牧 (Mu Yuan)
🏆 CCF 全国优博 (CCF Doctoral Dissertation Award)
CCF 物联网专委优博 (CCF TCIoT Doctoral Dissertation Award)
中国科学技术大学校优博 (USTC Doctoral Dissertation Award)
PDF
Reviewer of ACM IMWUT, IEEE INFOCOM, IEEE TMC, IEEE IoTJ, AAAI, NeurIPS
Co-chair of ANAI Workshop 2025 (co-located with ACM MobiCom 2025)
2024-2025 National Natural Science Foundation of China, Grant No.623B2093, RMB 300,000
2024 CCF Doctoral Dissertation Award (10 Nationwide) [Link]
2024 CCF TCIoT Doctoral Dissertation Award (4 Nationwide) [Link]
2024 USTC Doctoral Dissertation Award [Link]
2024 CAS President Award [Link]
2023 ByteDance Scholars Award (13 Nationwide) [Link]
2018 SenseTime Scholarship (22 Nationwide) [Link]
2018 Grand Price (1 out of 1530 teams) of the 4th National University Cloud Computing Contest [Link]