Zhihao Qu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 51

Top Topics

Emotion Recognition

Graph Embedding

Spatially Correlated

Top Venues

IEEE Trans. Parallel Distributed Syst.

IEEE Trans. Computers

Publications

Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang
SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments. IEEE Trans. Computers 73 (1) (2024)
Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye, Guanghui Li, Weisong Shi
Joint Service Request Scheduling and Container Retention in Serverless Edge Computing for Vehicle-Infrastructure Collaboration. IEEE Trans. Mob. Comput. 23 (6) (2024)
Yuepeng Li, Lin Gu, Zhihao Qu, Lifeng Tian, Deze Zeng
On Efficient Zygote Container Planning and Task Scheduling for Edge Native Application Acceleration. INFOCOM (2024)
Zaipeng Xie, Jianan Zhang, Yida Zhang, Chenghong Xu, Peng Chen, Zhihao Qu, WenZhan Song
An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing. ICA3PP (7) (2023)
Wenzhong Wang, Zaipeng Xie, Bingzhe Yu, Zhihao Qu, Yufeng Zhang, Hongli Cao
Federated Learning with Common Representation Learning Criterion and Personalized Predictor. SMC (2023)
Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye
Joint Service Placement and Container Retention for Serverless-Based Vehicular Edge Computing. ICPADS (2023)
Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye
Network Coding Approaches for Distributed Computation over Lossy Wireless Networks. Entropy 25 (3) (2023)
Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Shunpeng Hua, Baoliu Ye, Yue Zeng, Zhihao Qu, Bin Tang
Joint Controller Placement and Flow Assignment in Software-Defined Edge Networks. ICA3PP (5) (2023)
Miao Cai, Junru Shen, Yifan Yuan, Zhihao Qu, Baoliu Ye
BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System. Proc. VLDB Endow. 17 (4) (2023)
Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang
RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments. IEEE Trans. Serv. Comput. 16 (5) (2023)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
Anchor Sampling for Federated Learning with Partial Client Participation. ICML (2023)
Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, Zhihao Qu
Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks. IEEE Trans. Commun. 71 (3) (2023)
Siyuan Zhou, Xiaofan Yu, Bin Tang, Zhihao Qu
Handover Analysis with Spatially Correlated Blockage Model. MSN (2023)
Lingyun Cui, Zhihao Qu, Guomin Zhang, Bin Tang, Baoliu Ye
A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud. J. Cloud Comput. 12 (1) (2023)
Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya
Adaptive Vertical Federated Learning on Unbalanced Features. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Wenxuan Zhou, Zhihao Qu, Yanchao Zhao, Bin Tang, Baoliu Ye
An efficient split learning framework for recurrent neural network in mobile edge environment. RACS (2022)
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression. CoRR (2022)
Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye
Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. NeurIPS (2022)
Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang
Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks. IEEE Trans. Mob. Comput. 21 (12) (2022)
Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar
Adaptive Federated Learning on Non-IID Data With Resource Constraint. IEEE Trans. Computers 71 (7) (2022)
Zhihao Qu, Xiujuan Zheng
EEG Emotion Recognition Based on Temporal and Spatial Features of Sensitive signals. J. Electr. Comput. Eng. 2022 (2022)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR (2022)
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. DAC (2022)
Zaipeng Xie, Yao Liu, Zhihao Qu, Bin Tang, Weiyi Zhao
FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning. WASA (2) (2022)
Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. ACM Comput. Surv. 54 (7) (2022)
Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. IEEE Internet Things J. 9 (2) (2022)
Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang
Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers. IEEE Trans. Computers 71 (4) (2022)
Weiyong Yang, Peng Gao, Hao Huang, Xingshen Wei, Haotian Zhang, Zhihao Qu
Advanced Persistent Threat Detection in Smart Grid Clouds Using Spatiotemporal Context-Aware Graph Embedding. GLOBECOM (2022)
Siqi Huang, Deze Zeng, Zhihao Qu
Toward Performance Efficient UAV Task Scheduling in Cloud Native Edge. GLOBECOM (2022)
Zaipeng Xie, Junchen Jiang, Ruifeng Chen, Zhihao Qu, Hanxiang Liu
FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation. ICPADS (2022)
Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. IEEE Trans. Parallel Distributed Syst. 33 (1) (2022)
Lin Qian, Zhihao Qu, Miao Cai, Baoliu Ye, Xiaoliang Wang, Jianyu Wu, Weiguo Duan, Ming Zhao, Qiang Lin
FastCache: A write-optimized edge storage system via concurrent merging cache for IoT applications. J. Syst. Archit. 131 (2022)
Yufeng Zhan, Peng Li, Song Guo, Zhihao Qu
Incentive Mechanism Design for Federated Learning: Challenges and Opportunities. IEEE Netw. 35 (4) (2021)
Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. IEEE Internet Things J. 8 (15) (2021)
Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. CoRR (2021)
Yue Zeng, Baoliu Ye, Bin Tang, Songtao Guo, Zhihao Qu
Scheduling coflows of multi-stage jobs under network resource constraints. Comput. Networks 184 (2021)
Lin Qian, Baoliu Ye, Xiaoliang Wang, Zhihao Qu, Weiguo Duan, Ming Zhao
FastCache: A Client-Side Cache with Variable-Position Merging Schema in Network Storage System. ICA3PP (2) (2021)
Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, Kun Wang
Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. USENIX Annual Technical Conference (2021)
Ninghui Jia, Zhihao Qu, Baoliu Ye
Communication-efficient Federated Learning via Quantized Clipped SGD. WASA (1) (2021)
Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang
LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. IEEE J. Sel. Areas Commun. 39 (8) (2021)
Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning. CoRR (2020)
Tao Huang, Bin Tang, Baoliu Ye, Zhihao Qu, Sanglu Lu
Rateless802.11: Extending WiFi applicability in extremely poor channels. Comput. Networks 179 (2020)
Zhihao Qu, Baoliu Ye, Bin Tang, Song Guo, Sanglu Lu, Weihua Zhuang
Cooperative Caching for Multiple Bitrate Videos in Small Cell Edges. IEEE Trans. Mob. Comput. 19 (2) (2020)
Yufeng Zhan, Peng Li, Zhihao Qu, Deze Zeng, Song Guo
A Learning-Based Incentive Mechanism for Federated Learning. IEEE Internet Things J. 7 (7) (2020)
Tao Huang, Baoliu Ye, Zhihao Qu, Bin Tang, Lei Xie, Sanglu Lu
Physical-Layer Arithmetic for Federated Learning in Uplink MU-MIMO Enabled Wireless Networks. INFOCOM (2020)
Yamei Dong, Bin Tang, Baoliu Ye, Zhihao Qu, Sanglu Lu
Intermediate Value Size Aware Coded MapReduce. ICPADS (2020)
Lei Zhang, Zhihao Qu, Baoliu Ye, Bin Tang
Joint Service Placement and Computation Offloading in Mobile Edge Computing: An Auction-based Approach. ICPADS (2020)
Jie Zhang, Song Guo, Deze Zeng, Zhihao Qu
Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks. ICPADS (2019)
Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu
Fast Cooperative Content Distribution over Hybrid Wireless Networks. GLOBECOM (2015)
Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu, Song Guo
Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks. ICPP (2015)