Mu Yuan (袁牧)

I am fortunate to work with Prof. Guoliang Xing . Before joining CUHK, I was advised by Prof. Xiang-Yang Li and Prof. Lan Zhang at USTC. My research interest is building efficient and secure networking systems for machine-learning model inference.

Selected Publications

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)

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

异构协同模型推理 / Heterogeneous Collaborative Model Inference
袁牧 / Mu Yuan
Doctoral Dissertation (CCF Doctoral Dissertation Award, CCF TCIoT Doctoral Dissertation Award, USTC Doctoral Dissertation Award)
PDF

Secure Transformer Inference
Mu Yuan, Lan Zhang, Xiang-Yang Li
preprint
PDF | Code

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

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

InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference
Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Miao-Hui Song, Zhengyuan Xu, Xiang-Yang Li
IEEE TMC 2023
PDF

CoTel: Ontology-Neural Co-Enhanced Text Labeling
Miao-Hui Song, Lan Zhang, Mu Yuan, Zichong Li, Qi Song, Yijun Liu, Guidong Zheng
ACM WWW 2023

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

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

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

High-quality Activity-Level Video Advertising
Mu Yuan, Lan Zhang, Zhengtao Wu, Daren Zheng
IEEE/ACM IWQoS 2020 (Video Presentation Award)
PDF | Code | Bilibili | Slides | 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

Services

Reviewer of AAAI 2023/2024/2025
Associate Editor of IEEE IoT Journal
Reviewer of ACM IMWUT 2022, IEEE INFOCOM 2025

Grants

NSFC, No.623B2093, RMB 300,000, 2024-2025
Huawei, Talent Program, HKD 990,000, 2024-2026

Awards

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]
2023/2022/2020 National Scholarship [Link]
2019 Outstanding Graduate Award [Link]
2018 Yuan-Qing Scholarship [Link]
2018 SenseTime Scholarship (22 Nationwide) [Link]
2018 Grand Price (1 out of 1530 teams) of the 4th National University Cloud Computing Contest [Link]