屈志昊｜河海大学｜学者主页

2026

学习驱动的模型量化：方法、挑战与展望

黄馨怡，屈志昊，叶保留，胡世红，贾柠晖，钱琳

《计算机研究与发展》

2026

面向隐私敏感物联网数据的联邦学习双向通信压缩

王磊，周文轩，贾柠晖，屈志昊

《计算机应用》

2026

ShBkDRL: Reliable Microservice Provision With Shared Backup in Dynamic Edge Computing

Yue Zeng, Junlong Zhou, Linhui Wang, Yong Xie, Baoliu Ye, Zhihao Qu, Pan Li, Song Guo

IEEE Transactions on Computers

DOI

2026

Feature Map Compression for Split Learning in Mobile Wireless Environment: Theory and Practice

Wenxuan Zhou, Zhihao Qu, Baoliu Ye, Shen-Huan Lyu, Miao Cai, Mingtao Ji, Song Guo

IEEE Transactions on Mobile Computing

DOI

2026

A Unified Simulation Platform and Computation-Reuse Algorithm for Task Scheduling in Vehicle-Infrastructure Collaboration

Shihong Hu, Zhipeng Li, Zhihao Qu, Bin Tang, Baoliu Ye, Xiong Xu

IEEE Transactions on Network and Service Management

DOI

2026

AFedLF: Adaptive Layer Freezing of Foundation Models in Heterogeneous Federated Learning

Yue Zeng, Jie Zhang, Song Guo, Bao-Liu Ye, Zhihao Qu, Zi-Cong Hong, Bin Tang, Jinyu Chen, Jun-Long Zhou, Jiaying Yu

IEEE Transactions on Mobile Computing

DOI

2026

Quantization-Aware Incentive Mechanism for Communication-Efficient Federated Learning

Hengrui Cui, Zhihao Qu, Baoliu Ye, Tao Zhuang, Bin Tang, Wen-Xuan Zhou

IEEE International Conference on Distributed Computing Systems

DOI

2026

Battery Lifetime Extension in Heterogeneous Satellite Edge Computing: A Lyapunov-DRL Approach

Liang Zhong, Shen Tian, De-Ze Zeng, Zhihao Qu, Cheng-Yu Hu

IEEE Internet of Things Journal

DOI

2025

Layer-wise Adaptive Compression Method under Non-IID Settings for Federated Learning

Ziyuan Feng, Zijun Wang, Peng Gao, Zhihao Qu

IEEE International Conference on Systems, Man and Cybernetics

DOI

2024

基于动态阈值增强原型网络的联邦半监督学习模型

陈涛，谢在鹏，屈志昊

《智能系统学报》

2024

SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments

Yue Zeng, Zhihao Qu, Song Guo, Bao-Liu Ye, Jie Zhang, Jing Li, Bin Tang

IEEE transactions on computers

DOI

2024

Joint Service Request Scheduling and Container Retention in Serverless Edge Computing for Vehicle-Infrastructure Collaboration

Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye, Guang-Hui Li, Wei-Song Shi

IEEE Transactions on Mobile Computing

DOI

2023

FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation

Zaipeng Xie, Junchen Jiang, Rui Chen, Zhihao Qu, Hanxiang Liu

International Conference on Parallel and Distributed Systems

DOI

2023

RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments

Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, J. Zhang

IEEE Transactions on Services Computing

DOI

2023

Network Coding Approaches for Distributed Computation over Lossy Wireless Networks

Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye

Entropy

DOI

2023

Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks

Yue Zeng, Baoliu Ye, Bin Tang, Sang-Lu Lu, Feng Xu, Song Guo, Zhihao Qu

IEEE Transactions on Communications

DOI

2023

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud

Lingyun Cui, Zhihao Qu, Guo-Min Zhang, Bin Tang, Baoliu Ye

Journal of Cloud Computing

DOI

2023

An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing

Zaipeng Xie, Jianan Zhang, Yi-Da Zhang, Chenghong Xu, Peng Chen, Zhihao Qu, Wenzhan Song

International Conference on Algorithms and Architectures for Parallel Processing

DOI

2023

Federated Learning with Common Representation Learning Criterion and Personalized Predictor

Wenzhong Wang, Zaipeng Xie, Bingzhe Yu, Zhihao Qu, Yufeng Zhang, Hongli Cao

IEEE International Conference on Systems, Man and Cybernetics

DOI

2022

面向多层无线边缘环境下的联邦学习通信优化的研究

赵罗成，屈志昊，谢在鹏

《计算机科学》

2022

Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning

Hao-Zhao Wang, Zhihao Qu, Song Guo, Xin Gao, Rui-Xuan Li, Baoliu Ye

IEEE Transactions on Emerging Topics in Computing

DOI

2022

Anchor Sampling for Federated Learning with Partial Client Participation

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Zi-Ming Liu, Jing Gao

International Conference on Machine Learning

2022

An efficient split learning framework for recurrent neural network in mobile edge environment

Wenxuan Zhou, Zhihao Qu, Yanchao Zhao, Bin Tang, Baoliu Ye

ACM Conference on Research in Adaptive and Convergent Systems (RACS)

DOI

2022

Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment

Hao-Zhao Wang, Song Guo, Zhihao Qu, Rui-Xuan Li, Zi-Ming Liu

IEEE Transactions on Parallel and Distributed Systems

DOI

2022

FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning

Zaipeng Xie, Yaoguang Liu, Zhihao Qu, Bin Tang, Weiyi Zhao

Wireless Algorithms, Systems, and Applications

DOI

2022

Toward Performance Efficient UAV Task Scheduling in Cloud Native Edge

Siqi Huang, De-Ze Zeng, Zhihao Qu

Global Communications Conference

DOI

2022

Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers

Hao-Zhao Wang, Song Guo, Bin Tang, Rui-Xuan Li, Yutong Yang, Zhihao Qu, Yi Wang

IEEE transactions on computers

DOI

2022

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning

Qi-Hua Zhou, Song Guo, Yi Liu, J. Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu

Neural Information Processing Systems

DOI

2022

FastCache: A write-optimized edge storage system via concurrent merging cache for IoT applications

Lin Qian, Zhihao Qu, Miao Cai, Baoliu Ye, Xiaoliang Wang, Jianyu Wu, Weiguo Duan, Ming Zhao, Q. Lin

Journal of systems architecture

DOI

2022

Edge Learning for Distributed Big Data Analytics

Song Guo, Zhihao Qu

DOI

2022

Adaptive Vertical Federated Learning on Unbalanced Features

J. Zhang, Song Guo, Zhihao Qu, De-Ze Zeng, Hao-Zhao Wang, Qifeng Liu, A. Zomaya

IEEE Transactions on Parallel and Distributed Systems

DOI

2021

一种异步联邦学习聚合更新算法

陈瑞锋，谢在鹏，朱晓瑞，屈志昊

《小型微型计算机系统》

2021

一种基于分布式编码的卷积优化算法

苑晨宇，谢在鹏，朱晓瑞，屈志昊，徐媛媛

《计算机科学》

2021

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization

Feijie Wu, Song Guo, Hao-Zhao Wang, Haobo Zhang, Zhihao Qu, Jiewei Zhang, Zi-Ming Liu

IEEE Transactions on Parallel and Distributed Systems

DOI

2021

Incentive Mechanism Design for Federated Learning: Challenges and Opportunities

Yufeng Zhan, Peng Li, Song Guo, Zhihao Qu

IEEE Network

DOI

2021

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning

Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou

Rare & Special e-Zone (The Hong Kong University of Science and Technology)

2021

Communication-efficient Federated Learning via Quantized Clipped SGD

Ninghui Jia, Zhihao Qu, Baoliu Ye

Lecture notes in computer science

DOI

2021

Edge Learning

Jie Zhang, Zhihao Qu, Chenxi Chen, Hao-Zhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo

ACM Computing Surveys

DOI

2021

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning

Qi-Hua Zhou, Song Guo, Zhihao Qu, Jing-Cai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jing-Ren Zhou

USENIX Annual Technical Conference

2021

Scheduling coflows of multi-stage jobs under network resource constraints

Yue Zeng, Baoliu Ye, Bin Tang, Songtao Guo, Zhihao Qu

Comput. Networks

DOI

2021

Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks

Zhihao Qu, Song Guo, Hao-Zhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang

IEEE Transactions on Mobile Computing

DOI

2021

A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT

Hao-Zhao Wang, Zhihao Qu, Qi-Hua Zhou, Haobo Zhang, Boyuan Luo, Wen-Chao Xu, Song Guo, Rui-Xuan Li

IEEE Internet of Things Journal

DOI

2021

FastCache: A Client-Side Cache with Variable-Position Merging Schema in Network Storage System

Lin Qian, Baoliu Ye, Xiaoliang Wang, Zhihao Qu, Weiguo Duan, Ming Zhao

International Conference on Algorithms and Architectures for Parallel Processing

DOI

2021

LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training

Hao-Zhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Rui-Xuan Li, W. Zhuang

IEEE Journal on Selected Areas in Communications

DOI

2021

Adaptive Federated Learning on Non-IID Data With Resource Constraint

J. Zhang, Song Guo, Zhihao Qu, De-Ze Zeng, Yufeng Zhan, Qifeng Liu, R. Akerkar

IEEE transactions on computers

DOI

2021

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective

Qi-Hua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, R. Akerkar

IEEE Internet of Things Journal

DOI

2021

Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization

Qi-Hua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, M. Guo, Kun Wang

IEEE Transactions on Parallel and Distributed Systems

DOI

2020

Joint Service Placement and Computation Offloading in Mobile Edge Computing: An Auction-based Approach

Lei Zhang, Zhihao Qu, Baoliu Ye, Bin Tang

IEEE International Conference on Parallel and Distributed Systems (ICPADS)

DOI

2020

A Learning-Based Incentive Mechanism for Federated Learning

Yufeng Zhan, Peng Li, Zhihao Qu, De-Ze Zeng, Song Guo

IEEE Internet of Things Journal

DOI

2020

Cooperative Caching for Multiple Bitrate Videos in Small Cell Edges

Zhihao Qu, Baoliu Ye, Bin Tang, Song Guo, Sang-Lu Lu, W. Zhuang

IEEE Transactions on Mobile Computing

DOI

2020

Physical-Layer Arithmetic for Federated Learning in Uplink MU-MIMO Enabled Wireless Networks

Tao Huang, Baoliu Ye, Zhihao Qu, Bin Tang, Lei Xie, Sang-Lu Lu

IEEE Conference on Computer Communications

DOI

2020

Intermediate Value Size Aware Coded MapReduce

Y. Dong, Bin Tang, Baoliu Ye, Zhihao Qu, Sang-Lu Lu

International Conference on Parallel and Distributed Systems

DOI

2019

面向边缘计算的资源优化技术研究进展

屈志昊，叶保留，陈贵海，唐斌，郭成昊

《大数据》

2019

Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks

Jie Zhang, Song Guo, De-Ze Zeng, Zhihao Qu

International Conference on Parallel and Distributed Systems

DOI

2018

移动边缘网络中流媒体协同缓存与分发技术研究

屈志昊

《南京大学》

2015

Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks

Zhihao Qu, Baoliu Ye, Bin Tang, Sang-Lu Lu, Song Guo

International Conference on Parallel Processing

DOI

2014

Fast Cooperative Content Distribution over Hybrid Wireless Networks

Zhihao Qu, Baoliu Ye, Bin Tang, Sang-Lu Lu

Global Communications Conference

DOI

精选作品

期刊论文

学习驱动的模型量化：方法、挑战与展望

面向隐私敏感物联网数据的联邦学习双向通信压缩

ShBkDRL: Reliable Microservice Provision With Shared Backup in Dynamic Edge Computing

Feature Map Compression for Split Learning in Mobile Wireless Environment: Theory and Practice

A Unified Simulation Platform and Computation-Reuse Algorithm for Task Scheduling in Vehicle-Infrastructure Collaboration

AFedLF: Adaptive Layer Freezing of Foundation Models in Heterogeneous Federated Learning

Quantization-Aware Incentive Mechanism for Communication-Efficient Federated Learning

Battery Lifetime Extension in Heterogeneous Satellite Edge Computing: A Lyapunov-DRL Approach

Layer-wise Adaptive Compression Method under Non-IID Settings for Federated Learning

基于动态阈值增强原型网络的联邦半监督学习模型

SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments

Joint Service Request Scheduling and Container Retention in Serverless Edge Computing for Vehicle-Infrastructure Collaboration

FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation

RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments

Network Coding Approaches for Distributed Computation over Lossy Wireless Networks

Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud

An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing

Federated Learning with Common Representation Learning Criterion and Personalized Predictor

面向多层无线边缘环境下的联邦学习通信优化的研究

Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning

Anchor Sampling for Federated Learning with Partial Client Participation

An efficient split learning framework for recurrent neural network in mobile edge environment

Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment

FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning

Toward Performance Efficient UAV Task Scheduling in Cloud Native Edge

Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning

FastCache: A write-optimized edge storage system via concurrent merging cache for IoT applications

Edge Learning for Distributed Big Data Analytics

Adaptive Vertical Federated Learning on Unbalanced Features

一种异步联邦学习聚合更新算法

一种基于分布式编码的卷积优化算法

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization

Incentive Mechanism Design for Federated Learning: Challenges and Opportunities

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning

Communication-efficient Federated Learning via Quantized Clipped SGD

Edge Learning

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning

Scheduling coflows of multi-stage jobs under network resource constraints

Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks

A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT

FastCache: A Client-Side Cache with Variable-Position Merging Schema in Network Storage System

LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training

Adaptive Federated Learning on Non-IID Data With Resource Constraint

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective

Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization

Joint Service Placement and Computation Offloading in Mobile Edge Computing: An Auction-based Approach

A Learning-Based Incentive Mechanism for Federated Learning

Cooperative Caching for Multiple Bitrate Videos in Small Cell Edges

Physical-Layer Arithmetic for Federated Learning in Uplink MU-MIMO Enabled Wireless Networks

Intermediate Value Size Aware Coded MapReduce

面向边缘计算的资源优化技术研究进展

Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks

移动边缘网络中流媒体协同缓存与分发技术研究

Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks

Fast Cooperative Content Distribution over Hybrid Wireless Networks

预印本

Analytic Personalized Federated Meta-Learning

Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning

Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression

On the Convergence of Quantized Parallel Restarted SGD for Central Server Free Distributed Training

研究方向