Zhihao Qu

88 papers A* 6A 1B 15C 1Journal 52Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified Simulation Platform and Computation-Reuse Algorithm for Task Scheduling in Vehicle-Infrastructure Collaboration.
IEEE Trans. Netw. Serv. Manag.
Shihong Hu, Zhipeng Li, Zhihao Qu, Bin Tang, Baoliu Ye, Xiongxiong Xu
2026 J jnl
AFedLF: Adaptive Layer Freezing of Foundation Models in Heterogeneous Federated Learning.
IEEE Trans. Mob. Comput.
Yue Zeng, Jie Zhang, Song Guo, Baoliu Ye, Zhihao Qu, Zicong Hong, Bin Tang, Jinyu Chen, Junlong Zhou, Jiaying Yu
2026 J jnl
Analytic personalized federated meta-learning.
Pattern Recognit.
Shunxian Gu, Chaoqun You, Deke Guo, Zhihao Qu, Bangbang Ren, Zaipeng Xie, Lailong Luo
2026 J jnl
Battery Lifetime Extension in Heterogeneous Satellite Edge Computing: A Lyapunov-DRL Approach.
IEEE Internet Things J.
Liang Zhong, Shen Tian, Deze Zeng, Zhihao Qu, Chengyu Hu
2026 J jnl
Compressing model with few class-imbalance samples: An out-of-distribution expedition.
Pattern Recognit. Lett.
Tian-Shuang Wu, Shen-Huan Lyu, Yanyan Wang, Ning Chen, Zhihao Qu, Baoliu Ye
2026 J jnl
Enhance and Reuse: A Dual-Mechanism Approach to Boost Deep Forest for Label Distribution Learning.
CoRR
Jia-Le Xu, Shen-Huan Lyu, Yu-Nian Wang, Ning Chen, Zhihao Qu, Bin Tang, Baoliu Ye
2026 J jnl
Lightweight Adaptive Quantization Algorithms for Federated Learning With Heterogeneous Clients.
IEEE Trans. Mob. Comput.
Hengrui Cui, Zhihao Qu, Baoliu Ye, Bin Tang, Tao Zhuang, Xinyu Wang, Yue Zeng
2026 J jnl
MOM-VI: Mobility-aware joint offloading and migration with traffic flow prediction for vehicle-infrastructure collaboration.
Future Gener. Comput. Syst.
Shihong Hu, Kaiyue Li, Zhihao Qu, Bin Tang, Baoliu Ye
2026 J jnl
Time-Efficient Identifying Key Tag Distribution in Large-Scale RFID Systems.
IEEE Trans. Mob. Comput.
Yanyan Wang, Jia Liu, Zhihao Qu, Shen-Huan Lyu, Bin Tang, Baoliu Ye
2025 J jnl
A Comprehensive Survey on Communication-Efficient Federated Learning in Mobile Edge Environments.
IEEE Commun. Surv. Tutorials
Ninghui Jia, Zhihao Qu, Baoliu Ye, Yanyan Wang, Shihong Hu, Song Guo
2025 J jnl
Analytic Personalized Federated Meta-Learning.
CoRR
Shunxian Gu, Chaoqun You, Deke Guo, Zhihao Qu, Bangbang Ren, Zaipeng Xie, Lailong Luo
2025 J jnl
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition.
CoRR
Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen, Zhihao Qu, Baoliu Ye
2025 — conf
Efficient Target Tag Information Collection in Commodity RFID Systems.
ICC
Zhenni Cao, Yanyan Wang, Zhihao Qu, Bin Tang, Rong Zhang, Baoliu Ye
2025 J jnl
Enhance Learning Efficiency of Oblique Decision Tree via Feature Concatenation.
CoRR
Shen-Huan Lyu, Yi-Xiao He, Yanyan Wang, Zhihao Qu, Bin Tang, Baoliu Ye
2025 J jnl
Enhance learning efficiency of oblique decision tree via feature concatenation.
Inf. Sci.
Shen-Huan Lyu, Yi-Xiao He, Yanyan Wang, Zhihao Qu, Bin Tang, Baoliu Ye
2025 J jnl
ExpertDRL: Request Dispatching and Instance Configuration for Serverless Edge Inference With Foundation Models.
IEEE Trans. Mob. Comput.
Yue Zeng, Junlong Zhou, Baoliu Ye, Zhihao Qu, Song Guo, Tianjian Gong, Pan Li
2025 J jnl
FedQClip: Accelerating Federated Learning via Quantized Clipped SGD.
IEEE Trans. Computers
Zhihao Qu, Ninghui Jia, Baoliu Ye, Shihong Hu, Song Guo
2025 — conf
Federated Learning via TEE-Based Dual-Branch Architecture and Interaction-Aware Pruning.
NPC (2)
Wenxuan Zhou, Zhenyu Zhu, Mingyang Xie, Zhihao Qu
2025 A* conf
LCO-AGQ: A Lightweight Client-Oriented Adaptive Gradient Quantization Algorithm for Federated Learning.
INFOCOM
Hengrui Cui, Zhihao Qu, Xinyu Wang, Bin Tang, Baoliu Ye
2025 B conf
Layer-wise Adaptive Compression Method under Non-IID Settings for Federated Learning.
SMC
Ziyuan Feng, Zijun Wang, Peng Gao, Zhihao Qu
2025 B conf
Multi-Range Query in Commodity RFID Systems.
IWQoS
Yanyan Wang, Jia Liu, Zhihao Qu, Shen-Huan Lyu, Bin Tang, Baoliu Ye
2025 — conf
Multi-cluster Layer-Sharing Container Scheduling in Cloud-Edge Collaboration.
ICIC (15)
Yaoting Cao, Shihong Hu, Zhihao Qu, Lingling Hao, Baoliu Ye
2025 J jnl
Multilevel Spatial-Temporal Joint Large Language Model for Traffic Prediction in Symbiotic IoT.
IEEE Internet Things J.
Zhengwei Xu, Shaopeng Xu, Zhihao Qu
2025 J jnl
Reliability-aware hybrid SFC backup and deployment in edge computing.
Comput. Networks
Yue Zeng, Pan Li, Shanshan Lin, Bin Tang, Xiaoliang Wang, Zhihao Qu, Baoliu Ye, Song Guo, Junlong Zhou
2025 J jnl
SPAVM: A SFC Placement and VNF Migration Framework for VNF Instance Reuse in Vehicle-Infrastructure Collaboration.
IEEE Trans. Serv. Comput.
Shihong Hu, Kaixin Zhang, Zhihao Qu, Baoliu Ye
2025 J jnl
Scaling Persistent In-Memory Key-Value Stores Over Modern Tiered, Heterogeneous Memory Hierarchies.
IEEE Trans. Computers
Miao Cai, Junru Shen, Yifan Yuan, Zhihao Qu, Baoliu Ye
2024 J jnl
A Protocol Stack for Large-Scale RFID Systems: Mitigating Reader and Tag Collisions.
IEEE Internet Things J.
Yanyan Wang, Jia Liu, Zhihui Yang, Zhihao Qu, Nan Yu, Wei Xiang, Baoliu Ye
2024 B conf
Boosting MLPs on Graphs via Distillation in Resource-Constrained Environment.
SMC
Zhihui Yang, Zhihao Qu, Ninghui Jia, Shihong Hu, Baoliu Ye, Deze Zeng
2024 C conf
Container-Aware Service Function Chains Placement and Optimization in Vehicular Edge Computing.
ISPA
Kaixin Zhang, Shihong Hu, Zhihao Qu, Baoliu Ye
2024 B conf
Enhancing on-Device Inference Security Through TEE-Integrated Dual-Network Architecture.
SMC
Zhenyu Zhu, Zhihao Qu, Ninghui Jia, Wenxuan Zhou, Baoliu Ye
2024 — conf
Gradient-Aware Incremental Network Quantization.
NPC (2)
Jiao Meng, Zhihao Qu, Wenxuan Zhou, Shihong Hu, Baoliu Ye
2024 B conf
Identifying Key Tag Distribution in Large-Scale RFID Systems.
IWQoS
Yanyan Wang, Jia Liu, Shen-Huan Lyu, Zhihao Qu, Bin Tang, Baoliu Ye
2024 J jnl
Joint Service Request Scheduling and Container Retention in Serverless Edge Computing for Vehicle-Infrastructure Collaboration.
IEEE Trans. Mob. Comput.
Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye, Guanghui Li, Weisong Shi
2024 A conf
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning.
ECAI
Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye
2024 J jnl
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning.
CoRR
Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai, Baoliu Ye
2024 A* conf
On Efficient Zygote Container Planning and Task Scheduling for Edge Native Application Acceleration.
INFOCOM
Yuepeng Li, Lin Gu, Zhihao Qu, Lifeng Tian, Deze Zeng
2024 J jnl
Optimized Power Control for Privacy-Preserving Over-the-Air Federated Edge Learning With Device Sampling.
IEEE Internet Things J.
Bin Tang, Bei Hu, Zhihao Qu, Baoliu Ye
2024 — conf
Personalized Federated Learning with Feature Alignment via Knowledge Distillation.
PRICAI (2)
Guangfei Qi, Zhihao Qu, Shen-Huan Lyu, Ninghui Jia, Baoliu Ye
2024 J jnl
SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments.
IEEE Trans. Computers
Yue Zeng, Zhihao Qu, Song Guo, Baoliu Ye, Jie Zhang, Jing Li, Bin Tang
2023 J jnl
A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud.
J. Cloud Comput.
Lingyun Cui, Zhihao Qu, Guomin Zhang, Bin Tang, Baoliu Ye
2023 — conf
An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing.
ICA3PP (7)
Zaipeng Xie, Jianan Zhang, Yida Zhang, Chenghong Xu, Peng Chen, Zhihao Qu, Wenzhan Song
2023 A* conf
Anchor Sampling for Federated Learning with Partial Client Participation.
ICML
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
2023 J jnl
BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System.
Proc. VLDB Endow.
Miao Cai, Junru Shen, Yifan Yuan, Zhihao Qu, Baoliu Ye
2023 B conf
Federated Learning with Common Representation Learning Criterion and Personalized Predictor.
SMC
Wenzhong Wang, Zaipeng Xie, Bingzhe Yu, Zhihao Qu, Yufeng Zhang, Hongli Cao
2023 J jnl
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.
IEEE Trans. Parallel Distributed Syst.
Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu
2023 — conf
Handover Analysis with Spatially Correlated Blockage Model.
MSN
Siyuan Zhou, Xiaofan Yu, Bin Tang, Zhihao Qu
2023 — conf
Joint Controller Placement and Flow Assignment in Software-Defined Edge Networks.
ICA3PP (5)
Shunpeng Hua, Baoliu Ye, Yue Zeng, Zhihao Qu, Bin Tang
2023 B conf
Joint Service Placement and Container Retention for Serverless-Based Vehicular Edge Computing.
ICPADS
Shihong Hu, Zhihao Qu, Bin Tang, Baoliu Ye
2023 J jnl
Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks.
IEEE Trans. Commun.
Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, Zhihao Qu
2023 J jnl
Network Coding Approaches for Distributed Computation over Lossy Wireless Networks.
Entropy
Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye
2023 J jnl
RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments.
IEEE Trans. Serv. Comput.
Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang
2022 J jnl
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT.
IEEE Internet Things J.
Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li
2022 J jnl
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches.
CoRR
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu
2022 J jnl
Adaptive Federated Learning on Non-IID Data With Resource Constraint.
IEEE Trans. Computers
Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar
2022 J jnl
Adaptive Vertical Federated Learning on Unbalanced Features.
IEEE Trans. Parallel Distributed Syst.
Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya
2022 B conf
Advanced Persistent Threat Detection in Smart Grid Clouds Using Spatiotemporal Context-Aware Graph Embedding.
GLOBECOM
Weiyong Yang, Peng Gao, Hao Huang, Xingshen Wei, Haotian Zhang, Zhihao Qu
2022 — conf
An efficient split learning framework for recurrent neural network in mobile edge environment.
RACS
Wenxuan Zhou, Zhihao Qu, Yanchao Zhao, Bin Tang, Baoliu Ye
2022 J jnl
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge.
ACM Comput. Surv.
Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo
2022 J jnl
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment.
IEEE Trans. Parallel Distributed Syst.
Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu
2022 J jnl
FastCache: A write-optimized edge storage system via concurrent merging cache for IoT applications.
J. Syst. Archit.
Lin Qian, Zhihao Qu, Miao Cai, Baoliu Ye, Xiaoliang Wang, Jianyu Wu, Weiguo Duan, Ming Zhao, Qiang Lin
2022 — conf
FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning.
WASA (2)
Zaipeng Xie, Yao Liu, Zhihao Qu, Bin Tang, Weiyi Zhao
2022 B conf
FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation.
ICPADS
Zaipeng Xie, Junchen Jiang, Ruifeng Chen, Zhihao Qu, Hanxiang Liu
2022 J jnl
Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers.
IEEE Trans. Computers
Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang
2022 A* conf
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning.
NeurIPS
Qihua Zhou, Song Guo, Yi Liu, Jie Zhang, Jiewei Zhang, Tao Guo, Zhenda Xu, Xun Liu, Zhihao Qu
2022 J jnl
Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning.
IEEE Trans. Emerg. Top. Comput.
Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye
2022 J jnl
Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks.
IEEE Trans. Mob. Comput.
Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang
2022 J jnl
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression.
CoRR
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2022 A* conf
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.
DAC
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2022 B conf
Toward Performance Efficient UAV Task Scheduling in Cloud Native Edge.
GLOBECOM
Siqi Huang, Deze Zeng, Zhihao Qu
2021 — conf
Communication-efficient Federated Learning via Quantized Clipped SGD.
WASA (1)
Ninghui Jia, Zhihao Qu, Baoliu Ye
2021 — conf
FastCache: A Client-Side Cache with Variable-Position Merging Schema in Network Storage System.
ICA3PP (2)
Lin Qian, Baoliu Ye, Xiaoliang Wang, Zhihao Qu, Weiguo Duan, Ming Zhao
2021 J jnl
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.
CoRR
Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu
2021 J jnl
Incentive Mechanism Design for Federated Learning: Challenges and Opportunities.
IEEE Netw.
Yufeng Zhan, Peng Li, Song Guo, Zhihao Qu
2021 J jnl
LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training.
IEEE J. Sel. Areas Commun.
Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang
2021 — conf
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning.
USENIX ATC
Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou
2021 J jnl
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective.
IEEE Internet Things J.
Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar
2021 J jnl
Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization.
IEEE Trans. Parallel Distributed Syst.
Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, Kun Wang
2021 J jnl
Scheduling coflows of multi-stage jobs under network resource constraints.
Comput. Networks
Yue Zeng, Baoliu Ye, Bin Tang, Songtao Guo, Zhihao Qu
2020 J jnl
A Learning-Based Incentive Mechanism for Federated Learning.
IEEE Internet Things J.
Yufeng Zhan, Peng Li, Zhihao Qu, Deze Zeng, Song Guo
2020 J jnl
Cooperative Caching for Multiple Bitrate Videos in Small Cell Edges.
IEEE Trans. Mob. Comput.
Zhihao Qu, Baoliu Ye, Bin Tang, Song Guo, Sanglu Lu, Weihua Zhuang
2020 B conf
Intermediate Value Size Aware Coded MapReduce.
ICPADS
Yamei Dong, Bin Tang, Baoliu Ye, Zhihao Qu, Sanglu Lu
2020 J jnl
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning.
CoRR
Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye
2020 B conf
Joint Service Placement and Computation Offloading in Mobile Edge Computing: An Auction-based Approach.
ICPADS
Lei Zhang, Zhihao Qu, Baoliu Ye, Bin Tang
2020 A* conf
Physical-Layer Arithmetic for Federated Learning in Uplink MU-MIMO Enabled Wireless Networks.
INFOCOM
Tao Huang, Baoliu Ye, Zhihao Qu, Bin Tang, Lei Xie, Sanglu Lu
2020 J jnl
Rateless802.11: Extending WiFi applicability in extremely poor channels.
Comput. Networks
Tao Huang, Bin Tang, Baoliu Ye, Zhihao Qu, Sanglu Lu
2019 B conf
Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks.
ICPADS
Jie Zhang, Song Guo, Deze Zeng, Zhihao Qu
2015 B conf
Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks.
ICPP
Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu, Song Guo
2015 B conf
Fast Cooperative Content Distribution over Hybrid Wireless Networks.
GLOBECOM
Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu