Fast Cooperative Content Distribution over Hybrid Wireless Networks. - Zhihao Qu; Baoliu Ye; Bin Tang 002; Sanglu Lu (GLOBECOM, 2015)

Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks. - Zhihao Qu; Baoliu Ye; Bin Tang 002; Sanglu Lu; Song Guo 001 (ICPP, 2015)

Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks. - Jie Zhang 076; Song Guo 001; Deze Zeng; Zhihao Qu (ICPADS, 2019)

Intermediate Value Size Aware Coded MapReduce. - Yamei Dong; Bin Tang 002; Baoliu Ye; Zhihao Qu; Sanglu Lu (ICPADS, 2020)

Joint Service Placement and Computation Offloading in Mobile Edge Computing: An Auction-based Approach. - Lei Zhang; Zhihao Qu; Baoliu Ye; Bin Tang 002 (ICPADS, 2020)

Physical-Layer Arithmetic for Federated Learning in Uplink MU-MIMO Enabled Wireless Networks. - Tao Huang 007; Baoliu Ye; Zhihao Qu; Bin Tang 002; Lei Xie 004; Sanglu Lu (INFOCOM, 2020)

Rateless802.11: Extending WiFi applicability in extremely poor channels. - Tao Huang 007; Bin Tang 002; Baoliu Ye; Zhihao Qu; Sanglu Lu (Comput. Networks, 2020)

Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning. - Haozhao Wang; Zhihao Qu; Song Guo 001; Xin Gao; Ruixuan Li 001; Baoliu Ye (CoRR, 2020)

A Learning-Based Incentive Mechanism for Federated Learning. - Yufeng Zhan; Peng Li 017; Zhihao Qu; Deze Zeng; Song Guo 001 (IEEE Internet Things J., 2020)

Cooperative Caching for Multiple Bitrate Videos in Small Cell Edges. - Zhihao Qu; Baoliu Ye; Bin Tang 002; Song Guo 001; Sanglu Lu; Weihua Zhuang (IEEE Trans. Mob. Comput., 2020)

FastCache: A Client-Side Cache with Variable-Position Merging Schema in Network Storage System. - Lin Qian; Baoliu Ye; Xiaoliang Wang 001; Zhihao Qu; Weiguo Duan; Ming Zhao (ICA3PP (2), 2021)

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. - Qihua Zhou; Song Guo 001; Zhihao Qu; Jingcai Guo; Zhenda Xu; Jiewei Zhang; Tao Guo 004; Boyuan Luo; Jingren Zhou 001 (USENIX ATC, 2021)

Communication-efficient Federated Learning via Quantized Clipped SGD. - Ninghui Jia; Zhihao Qu; Baoliu Ye (WASA (1), 2021)

Scheduling coflows of multi-stage jobs under network resource constraints. - Yue Zeng 002; Baoliu Ye; Bin Tang 002; Songtao Guo; Zhihao Qu (Comput. Networks, 2021)

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. - Qihua Zhou; Zhihao Qu; Song Guo 001; Boyuan Luo; Jingcai Guo; Zhenda Xu; Rajendra Akerkar (IEEE Internet Things J., 2021)

LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. - Haozhao Wang; Zhihao Qu; Song Guo 001; Ningqi Wang; Ruixuan Li 001; Weihua Zhuang (IEEE J. Sel. Areas Commun., 2021)

Incentive Mechanism Design for Federated Learning: Challenges and Opportunities. - Yufeng Zhan; Peng Li 017; Song Guo 001; Zhihao Qu (IEEE Netw., 2021)

Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization. - Qihua Zhou; Song Guo 001; Zhihao Qu; Peng Li 017; Li Li 012; Minyi Guo; Kun Wang 005 (IEEE Trans. Parallel Distributed Syst., 2021)

Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. - Feijie Wu; Shiqi He; Song Guo 001; Zhihao Qu; Haozhao Wang; Weihua Zhuang; Jie Zhang 076 (DAC, 2022)

Toward Performance Efficient UAV Task Scheduling in Cloud Native Edge. - Siqi Huang; Deze Zeng; Zhihao Qu (GLOBECOM, 2022)

Advanced Persistent Threat Detection in Smart Grid Clouds Using Spatiotemporal Context-Aware Graph Embedding. - Weiyong Yang; Peng Gao; Hao Huang; Xingshen Wei; Haotian Zhang; Zhihao Qu (GLOBECOM, 2022)

FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation. - Zaipeng Xie; Junchen Jiang; Ruifeng Chen; Zhihao Qu; Hanxiang Liu (ICPADS, 2022)

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. - Qihua Zhou; Song Guo 001; Yi Liu 057; Jie Zhang 076; Jiewei Zhang; Tao Guo 004; Zhenda Xu; Xun Liu; Zhihao Qu (NeurIPS, 2022)

An efficient split learning framework for recurrent neural network in mobile edge environment. - Wenxuan Zhou; Zhihao Qu; Yanchao Zhao; Bin Tang 002; Baoliu Ye (RACS, 2022)

FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning. - Zaipeng Xie; Yao Liu; Zhihao Qu; Bin Tang 002; Weiyi Zhao (WASA (2), 2022)

Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. - Feijie Wu; Song Guo 001; Zhihao Qu; Shiqi He; Ziming Liu (CoRR, 2022)

Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. - Jie Zhang 076; Zhihao Qu; Chenxi Chen; Haozhao Wang; Yufeng Zhan; Baoliu Ye; Song Guo 001 (ACM Comput. Surv., 2022)

A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. - Haozhao Wang; Zhihao Qu; Qihua Zhou; Haobo Zhang 002; Boyuan Luo; Wenchao Xu 001; Song Guo 001; Ruixuan Li 001 (IEEE Internet Things J., 2022)

FastCache: A write-optimized edge storage system via concurrent merging cache for IoT applications. - Lin Qian; Zhihao Qu; Miao Cai 001; Baoliu Ye; Xiaoliang Wang 001; Jianyu Wu; Weiguo Duan; Ming Zhao; Qiang Lin (J. Syst. Archit., 2022)

Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers. - Haozhao Wang; Song Guo 001; Bin Tang 002; Ruixuan Li 001; Yutong Yang; Zhihao Qu; Yi Wang 004 (IEEE Trans. Computers, 2022)

Adaptive Federated Learning on Non-IID Data With Resource Constraint. - Jie Zhang 076; Song Guo 001; Zhihao Qu; Deze Zeng; Yufeng Zhan; Qifeng Liu; Rajendra Akerkar (IEEE Trans. Computers, 2022)

Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning. - Haozhao Wang; Zhihao Qu; Song Guo 001; Xin Gao; Ruixuan Li 001; Baoliu Ye (IEEE Trans. Emerg. Top. Comput., 2022)

Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks. - Zhihao Qu; Song Guo 001; Haozhao Wang; Baoliu Ye; Yi Wang 004; Albert Y. Zomaya; Bin Tang 002 (IEEE Trans. Mob. Comput., 2022)

Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. - Haozhao Wang; Song Guo 001; Zhihao Qu; Ruixuan Li 001; Ziming Liu (IEEE Trans. Parallel Distributed Syst., 2022)

Adaptive Vertical Federated Learning on Unbalanced Features. - Jie Zhang 076; Song Guo 001; Zhihao Qu; Deze Zeng; Haozhao Wang; Qifeng Liu; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2022)

Joint Controller Placement and Flow Assignment in Software-Defined Edge Networks. - Shunpeng Hua; Baoliu Ye; Yue Zeng 002; Zhihao Qu; Bin Tang 002 (ICA3PP (5), 2023)

An Efficient Fault Tolerance Strategy for Multi-task MapReduce Models Using Coded Distributed Computing. - Zaipeng Xie; Jianan Zhang; Yida Zhang; Chenghong Xu; Peng Chen; Zhihao Qu; WenZhan Song 001 (ICA3PP (7), 2023)

Anchor Sampling for Federated Learning with Partial Client Participation. - Feijie Wu; Song Guo 001; Zhihao Qu; Shiqi He; Ziming Liu; Jing Gao 004 (ICML, 2023)

Joint Service Placement and Container Retention for Serverless-Based Vehicular Edge Computing. - Shihong Hu; Zhihao Qu; Bin Tang 002; Baoliu Ye (ICPADS, 2023)

Handover Analysis with Spatially Correlated Blockage Model. - Siyuan Zhou; Xiaofan Yu; Bin Tang 002; Zhihao Qu (MSN, 2023)

Federated Learning with Common Representation Learning Criterion and Personalized Predictor. - Wenzhong Wang; Zaipeng Xie; Bingzhe Yu; Zhihao Qu; Yufeng Zhang; Hongli Cao (SMC, 2023)

RuleDRL: Reliability-Aware SFC Provisioning With Bounded Approximations in Dynamic Environments. - Yue Zeng 002; Zhihao Qu; Song Guo 001; Bin Tang 002; Baoliu Ye; Jing Li 093; Jie Zhang 076 (IEEE Trans. Serv. Comput., 2023)

Network Coding Approaches for Distributed Computation over Lossy Wireless Networks. - Bin Fan; Bin Tang 002; Zhihao Qu; Baoliu Ye (Entropy, 2023)

Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks. - Yue Zeng 002; Baoliu Ye; Bin Tang 002; Sanglu Lu; Feng Xu 008; Song Guo 001; Zhihao Qu (IEEE Trans. Commun., 2023)

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. - Feijie Wu; Song Guo 001; Haozhao Wang; Haobo Zhang 002; Zhihao Qu; Jie Zhang 076; Ziming Liu (IEEE Trans. Parallel Distributed Syst., 2023)

A bidirectional DNN partition mechanism for efficient pipeline parallel training in cloud. - Lingyun Cui; Zhihao Qu; Guomin Zhang; Bin Tang 002; Baoliu Ye (J. Cloud Comput., 2023)

BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System. - Miao Cai 001; Junru Shen; Yifan Yuan; Zhihao Qu; Baoliu Ye (Proc. VLDB Endow., 2023)

Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning. - Wenxuan Zhou; Zhihao Qu; Shen-Huan Lyu; Miao Cai 001; Baoliu Ye (ECAI, 2024)

On Efficient Zygote Container Planning and Task Scheduling for Edge Native Application Acceleration. - Yuepeng Li; Lin Gu 002; Zhihao Qu; Lifeng Tian; Deze Zeng (INFOCOM, 2024)

Container-Aware Service Function Chains Placement and Optimization in Vehicular Edge Computing. - Kaixin Zhang; Shihong Hu; Zhihao Qu; Baoliu Ye (ISPA, 2024)

Identifying Key Tag Distribution in Large-Scale RFID Systems. - Yanyan Wang; Jia Liu 008; Shen-Huan Lyu; Zhihao Qu; Bin Tang 002; Baoliu Ye (IWQoS, 2024)

Gradient-Aware Incremental Network Quantization. - Jiao Meng; Zhihao Qu; Wenxuan Zhou; Shihong Hu; Baoliu Ye (NPC (2), 2024)

Personalized Federated Learning with Feature Alignment via Knowledge Distillation. - Guangfei Qi; Zhihao Qu; Shen-Huan Lyu; Ninghui Jia; Baoliu Ye (PRICAI (2), 2024)

Boosting MLPs on Graphs via Distillation in Resource-Constrained Environment. - Zhihui Yang; Zhihao Qu; Ninghui Jia; Shihong Hu; Baoliu Ye; Deze Zeng (SMC, 2024)

Enhancing on-Device Inference Security Through TEE-Integrated Dual-Network Architecture. - Zhenyu Zhu; Zhihao Qu; Ninghui Jia; Wenxuan Zhou; Baoliu Ye (SMC, 2024)

SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments. - Yue Zeng 002; Zhihao Qu; Song Guo 001; Baoliu Ye; Jie Zhang 076; Jing Li 093; Bin Tang 002 (IEEE Trans. Computers, 2024)

Joint Service Request Scheduling and Container Retention in Serverless Edge Computing for Vehicle-Infrastructure Collaboration. - Shihong Hu; Zhihao Qu; Bin Tang 002; Baoliu Ye; Guanghui Li 001; Weisong Shi (IEEE Trans. Mob. Comput., 2024)

Optimized Power Control for Privacy-Preserving Over-the-Air Federated Edge Learning With Device Sampling. - Bin Tang 002; Bei Hu; Zhihao Qu; Baoliu Ye (IEEE Internet Things J., 2024)

A Protocol Stack for Large-Scale RFID Systems: Mitigating Reader and Tag Collisions. - Yanyan Wang; Jia Liu 008; Zhihui Yang; Zhihao Qu; Nan Yu; Wei Xiang 001; Baoliu Ye (IEEE Internet Things J., 2024)

Multi-cluster Layer-Sharing Container Scheduling in Cloud-Edge Collaboration. - Yaoting Cao; Shihong Hu; Zhihao Qu; Lingling Hao; Baoliu Ye (ICIC (15), 2025)

LCO-AGQ: A Lightweight Client-Oriented Adaptive Gradient Quantization Algorithm for Federated Learning. - Hengrui Cui; Zhihao Qu; Xinyu Wang; Bin Tang 002; Baoliu Ye (INFOCOM, 2025)

Reliability-aware hybrid SFC backup and deployment in edge computing. - Yue Zeng 002; Pan Li; Shanshan Lin; Bin Tang 002; Xiaoliang Wang 001; Zhihao Qu; Baoliu Ye; Song Guo 001; Junlong Zhou (Comput. Networks, 2025)

Enhance learning efficiency of oblique decision tree via feature concatenation. - Shen-Huan Lyu; Yi-Xiao He; Yanyan Wang; Zhihao Qu; Bin Tang 002; Baoliu Ye (Inf. Sci., 2025)

Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition. - Tian-Shuang Wu; Shen-Huan Lyu; Ning Chen; Zhihao Qu; Baoliu Ye (CoRR, 2025)

Analytic Personalized Federated Meta-Learning. - Shunxian Gu; Chaoqun You; Deke Guo; Zhihao Qu; Bangbang Ren; Zaipeng Xie; Lailong Luo (CoRR, 2025)

Scaling Persistent In-Memory Key-Value Stores Over Modern Tiered, Heterogeneous Memory Hierarchies. - Miao Cai 001; Junru Shen; Yifan Yuan; Zhihao Qu; Baoliu Ye (IEEE Trans. Computers, 2025)

FedQClip: Accelerating Federated Learning via Quantized Clipped SGD. - Zhihao Qu; Ninghui Jia; Baoliu Ye; Shihong Hu; Song Guo 001 (IEEE Trans. Computers, 2025)

ExpertDRL: Request Dispatching and Instance Configuration for Serverless Edge Inference With Foundation Models. - Yue Zeng 002; Junlong Zhou; Baoliu Ye; Zhihao Qu; Song Guo 001; Tianjian Gong; Pan Li (IEEE Trans. Mob. Comput., 2025)