2024 Publications (Jie Wu)

 


Journal Publications

Y. Xu, F. Zhuang, E. Wang, C. li, and J. Wu, "Learning without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems," accepted to appear in Transactions on Knowledge and Data Engineering (TKDE).
M. L. Morgia, A. Mei, A. M. Mongardini, and J. Wu, "Pretending to be a VIP! Characterization and Detection of Fake and Clone Channels on Telegram," accepted to appear in Transactions on the Web (TWEB).
F. Zhang, M. Li, J. Ge, F. Tang, S. Zhang, J. Wu, and B. Luo, "Privacy-Preserving Federated Neural Architecture Search with Enhanced Robustness for Edge Computing," accepted to appear in IEEE Transactions on Mobile Computing (TMC).
B. Zhang, Y. Mao, Member, X. He, H. Huang, and J. Wu, "Balancing Privacy and Accuracy using Significant Gradient Protection in Federated Learning," accepted to appear in IEEE Transactions on Computers.
N. Niknami, A. Srinivasan, and J. Wu, "Cyber-AnDe: Cybersecurity Framework with Adaptive Distributed Sampling for Anomaly Detection on SDNs ," accepted to appear in IEEE Transactions on Information Forensics & Security (T-IFS).
Y. Liang, S. Zhang, and J. Wu, "Scrava: Super Resolution-based Bandwidth-Efficient Cross-Camera Video Analytics," accepted to appear in IEEE Transactions on Mobile Computing (TMC).
H. Imamura, K. Sakai, M. Sun, W. Ku, and J. Wu, "Modeling Real-Time Task Assignment for Mobile Crowdsourcing in Opportunistic Networks," accepted to appear in IEEE Transactions on Services Computing (TSC).
E. Wang, D. Luan, Y. Xu, Y. Yang, and J. Wu, "Distributed Task Selection for Crowdsensing: a Game-Theoretical Approach," accepted to appear in IEEE Transactions on Mobile Computing (TMC).
H. Zhou, H. Wang, Z. Yu, G. Bin, M. Xiao, and J. Wu, "Federated Distributed Deep Reinforcement Learning for Recommendation-enabled Edge Caching," accepted to appear in IEEE Transactions on Services Computing (TSC).
Y. Xu, M. Xiao, J. Wu, and H. Sun "Privacy Preserving Task Push in Spatial Crowdsourcing with Unknown Popularity," accepted to appear in IEEE Transactions on Parallel and Distributed Systems.
N. Niknami, A. Sawwan, and J. Wu "A Failover Mechanism for SFC Requests in Next-Generation Networks," accepted to appear in IEEE Transactions on Reliability.
J. Li, S. Guo, W. Liang, J. Wu, Q. Chen, Z. Xu, W. Xu, and J. Wang "AoI-Aware, Digital Twin-Empowered IoT Query Services in Mobile Edge Computing," accepted to appear in IEEE/ACM Transactions on Networking.
X. Shi, S. Zhang, J. Wu, N. Chen, K. Cheng, Y. Liang, and S. Lu "AdaPyramid: Adaptive Configuration Pyramid for High-resolution Object Detection on Edge Devices," accepted to appear in IEEE Transactions on Mobile Computing (TMC).
Y. Lin, P. Qiu, Y. Yang, X. Du, and J. Wu, "Distributed and Secure Power Control for Secondary Users in Dynamic Spectrum Access," accepted to appear in IEEE Transactions on Wireless Communications (TWC).
C. Li, Y. Mao, Q. Huang, X. Zhu, and J. Wu, "Scale-Aware Graph Convolutional Network with Part-Level Refinement for Skeleton-Based Human Action Recognition," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) , Vol. 34, No. 6, 2024, 4311-4324.
Q. Liu, Y. Peng, Q. Xu, H. Jiang, J. Wu, T. Wang, T. Peng, G. Wang, and S. Zhang, "MARS: Enabling Verifiable Range-Aggregate Queries in Multi-Source Environments," Transactions on Dependable and Secure Computing (TDSC), Vol. 21, No. 4, 2024, 1994-2011.
Q. Liu, Y. Peng, M. Xu, H. Jiang, J. Wu, T. Wang, T. Peng, and G. Wang "MPV: Enabling Fine-Grained Query Authentication in Hybrid-Storage Blockchain," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36, No. 7, 2024, 3297-3311.
L. Wang, L. Hou, S. Liu, Z. Han, and J. Wu, "Reinforcement Contract Design for Vehicular Edge Computing Scheduling and Energy Trading via Deep Q-Network with Hybrid Action Space," IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 6, 2024, 6770-6784.
K. Jiang, Y. Cao, H. Zhou, J. Wu, Z. Zhang, and Z. Liu, "Adaptive Dynamic Programming for Multi-Driver Order Dispatching at Large-Scale," IEEE Transactions on Cognitive Communications and Networking (TCCN), Vol. 10, No. 2, 2024, 607-621.
S. Wang, Q. Liu, Y. Xu, H. Jiang, J. Wu, T. Wang, T. Peng, and G. Wang, "Protecting Inference Privacy with Accuracy Improvement in Mobile-Cloud Deep Learning," IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 6, 2024, 6522-6537.
Q. Liu, Y. Peng, Z. Tang, H. Jiang, J. Wu, T. Wang, T. Peng, and G. Wang, "veffChain: Enabling Freshness Authentication of Rich Queries over Blockchain Databases," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36, No. 5, 2024, 2285-2300.
N. Chen, S. Zhang, Z. Ma, Y. Chen, Y. Jin, J. Wu, Z. Qian, Y. Liang, and S. Lu, "ViChaser: Chase Your Viewpoint for Live Video Streaming with Block-Oriented Super-Resolution," IEEE/ACM Transactions on Networking (TNET), Vol. 32, No. 1, 2024, 445-459.
K. Liu, Y. Peng, H. Jiang, J. Wu, T. Wang, T. Peng, and G. Wang, "Authorized Keyword Search on Mobile Devices in Secure Data Outsourcing," IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 5, 2024, 4181-4195.
K. Sakai, M. Sun, W. Ku, and J. Wu,, "Barrier Penetration Routing Against Wireless Spy Sensors," IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 5, 2024, 4634-4647.
Y. Xu, M. Xiao, Y. Zhu, J. Wu, S. Zhang, and J. Zhou, "AoI-guaranteed Incentive Mechanism for Mobile Crowdsensing with Freshness Concerns," IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 5, 2024, 4107-4125.
Y. Duan and J. Wu, "Optimizing Job Offloading Schedule for Collaborative DNN Inference," IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 4, 2024, 3436-3451.
Y. Fan, J. Ge, S. Zhang, J. Wu, and B. Luo, "Decentralized Scheduling for Concurrent Tasks in Mobile Edge Computing via Deep Reinforcement Learning," IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 4, 2024, 2765-2779.
Z. Lin, X. Liu, H. Zhou, and J. Wu, "Adaptive Time-Varying Routing for Energy Saving and Load Balancing in Wireless Body Area Networks," IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 1, 2024, 90-101.
S. Lu, J. Wu, P. Lu, N. Wang, H. Liu, and J. Fang, "QoS-aware Online Service Provisioning and Updating in Cost-efficient Multi-tenant Mobile Edge Computing," IEEE Transactions on Services Computing (TSC), Vol. 17, No. 1, 2024, 113-126.
S. Lu, J. Wu, J. Shi, J. Fang, J. Zhang, and H. Liu, "Towards Dynamic Request Updating with Elastic Scheduling for Multi-tenant Cloud-based Data Center Network,"IEEE Transactions on Network Science and Engineering (TNSE), Vol. 11, No. 2, 2024, 2223-2237.

C. Li, Y. Mao, Q. Huang, W. Xie, X. He, and J. Wu, "A Real-Time Emotion-Aware System Based on Wireless Body Area Network for IoMT Applications," accepted to appear in IEEE Internet of Things Journal.
Y. Xu, M. Xiao, C. Wu, J. Wu, J. Zhou, and H. Sun, "Age-of-Information-Aware Federated Learning," accepted to appear in Journal of Computer Science and Technology(JCST).
Y. Liang, S. Zhang, and J. Wu, "SplitStream: Distributed and workload-adaptive video analytics at the edge," accepted to appear in Journal of Network and Computer Applications.
N. F. Prangon and J. Wu, " AI and Computing Horizons: Cloud and Edge in the Modern Era," accepted to appear in Journal of Sensor and Actuator Networks (JSAN).
A. Srinivasan and J. Wu, "slackFS - Resilient and Persistent Information Hiding Framework," accepted to appear in International Journal of Security and Networks (IJSN).
J. Gu, C. Song, J. Wu, L. Lu, and M. Liu, "Unilateral Control for Social Welfare of Iterated Game in Mobile Crowdsensing," accepted to appear in Journal of Computer Science and Technology(JCST).
Y. Mao, L. Shen, J. Wu, P. Ping, and J. Wu, " Federated Dynamic Client Selection for Fairness Guarantee in Heterogeneous Edge Computing," Journal of Computer Science and Technology (JCST), Vol. 39, 2024,139–158.
Y. Qwareeq, A. Sawwan, and J. Wu, "Maximum Elastic Scheduling of Virtual Machines in General Graph Cloud Data Center Networks," Cyber-Physical Systems, Vol. 10, No. 3, 2024, 283-301.
Y. Duan, X. Li, and J. Wu, "Topology Design and Graph Embedding for Decentralized Federated Learning," Intelligent and Converged Networks, Vol. 5, No. 2, 2024, 100-115.
S. Huang, G. Gao, H. Huang, Y. Sun, Y. Du, M. Xiao, J. Wu, and Y. Wang, " Gather or Scatter: Stackelberg Game Based Task Decision for Blockchain-Assisted Socially-Aware Crowdsensing Framework," IEEE Internet of Things Journal, Vol. 11, No. 2, 2024, 1939-1951.
N. Niknami and J. Wu, "IDSMatch: A Novel Deployment Method for IDS Chains in SDNs," Network , Vol. 4, No. 1, 2024, 48-67.

Book & Book Chapters

Y. Chen, J. Wu, C. Wang, and P. Yu, "Network Security Empowered by Artificial Intelligence," Springer, 2024.

Conference Proceedings

A. Sawwan and J. Wu, "Budget-Constrained and Deadline-Driven Multi-Armed Bandits with Delays," Proc. of the 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Dec 2-4, 2024.
D. Li, M. Xiao, Y. Xu, and J. Wu, "Optimizing Data-Driven Federated Learning in UAV Networks," Proc. of the IEEE International Conference on Parallel and Distributed Systems (ICPADS), Oct 10-14, 2024. [Slides]
J. Li, Y. Zhu, J. Wu, W. Wu, T. Zang, and L. Lu, "All Federated or Not: Optimizing Personal Model Performance in Cross-silo Federated Learning," Proc. of the IEEE International Conference on Parallel and Distributed Systems (ICPADS), Oct 10-14, 2024. [Slides]
N. Niknami, V. Mahzoon, and J. Wu, "PTN-IDS: Prototypical Network Solution for the Few-shot Detection in Intrusion Detection Systems," Proc. of the 49th IEEE Conference on Local Computer Networks (LCN), Oct 8-10, 2024. [Slides]
N. Niknami, V. Mahzoon, and J. Wu, "CrossAlert: Enhancing Multi-Stage Attack Detection through Semantic Embedding of Alerts Across Targeted Domains," Proc. of IEEE Conference on Communications and Network Security (CNS), Sep 30-Oct 3, 2024. [Slides]
X. Huang, Y. Xu, J. Cai, H. Sun, J. Wu, and M. Xiao, "Q2oE: Balancing QoE Fairness and Preference for Video Streaming from Cooperative Edge Servers," Proc. of the 21st IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Sep 23-25, 2024. [Slides]
Y. Zhao, J. Zhou, M. Xiao, J. Wu, and H. Sun, "ERS: Faster LiDAR Point Cloud Registration for Connected Vehicles," Proc. of the 44th IEEE International Conference on Distributed Computing Systems (ICDCS), Jul 23-26, 2024.
N. Niknami, V. Mahzoon, and J. Wu, "Meta-IDS: A Multi-stage Deep Intrusion Detection System with Optimal CPU Usage," Proc. of the 1st IEEE International Conference on Meta Computing (ICMC), Jun 20-23, 2024.[Slides]
N. Chen, S. Zhang, Y. Liang, J. Wu, Y. Chen, Y. Yan, Z. Qian, and S. Lu, "TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading in Tile Granularity," Proc. of the IEEE International Conference on Computer Communications (INFOCOM), May 20-23, 2024. [Slides]
Y. Xu, X. Zhang, M. Xiao, J. Wu, A. Liu, and S. Zhang, "Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach," Proc. of the 40th IEEE International Conference on Data Engineering (ICDE), May 13-17, 2024. [Slides]
Y. Chen, S. Zhang, Z. Zhou, X. Wang, Y. Liang, N. Chen, Y. Yan, M. Xiao, J. Wu, Z. Qian, and H. Xu, "MACRO: Incentivizing Multi-leader Game-based Pareto-efficient Crowdsourcing for Video Analytics," Proc. of the 40th IEEE International Conference on Data Engineering (ICDE), May 13-17, 2024. [Slides]
Y. Mao, Z. Wang, C. Li, J. Zhang, S. Xu, and J. Wu, "Dual Adaptive Compression for Efficient Communication in Heterogeneous Federated Learning," Proc. of the IEEE/ACM International Symposium on Cluster, Cloud, and Internet Computing (CCGRID), May 6-9, 2024. [Slides]
H. Gao, Y. Duan, Y. Zhang, and J. Wu, " Decentralized Stochastic Compositional Gradient Descent for AUPRC Maximization," Proc. of the SIAM International Conference on Data Mining (SDM), May 1-3, 2024.

J. Li, J. Wang, W. Liang, J. Wu, Q. Chen, and Z. Xu, "Social-Aware DT-Assisted Service Provisioning in Serverless Edge Computing," Proc. of the 20th International Conference on Mobility, Sensing and Networking (MSN), Dec 20-22, 2024.
H. Zheng, Y. Mao, H. Xu, X. He, B. Zhang, F. Mao, and J. Wu, "FedMHC: Overcoming Dimensionality and Communication Challenges for Personalized Federated Learning Using Model Head Clustering," Proc. of High Performance Computing and Communications (HPCC), Dec 13-15, 2024.
X. Huang, R. R. Liu, J. Wu, and B. Zhang, "Profit-Aware Computing Server Clustering and Task Scheduling in the Computing Power Network," Proc. of High Performance Computing and Communications (HPCC), Dec 13-15, 2024.
C. Song, J. Huang, J. Wu, and L. Lu, "A Data-aware Probabilistic Client Sampling Scheme in Streaming Federated Learning," Proc. of the IEEE Global Communications Conference (GLOBECOM), Dec 8-12, 2024.
Y. Mao, Y. Rong, J. Wang, Z. Wang, X. He, and J. Wu, "Edge-Cloud Enabled Smart Sensing Applications with Personalized Federated Learning in IoT," Proc. of the IEEE Global Communications Conference (GLOBECOM), Dec 8-12, 2024.
S. Gao, S. Quan, and J. Wu, "Cloud-Native Plinth: A Platform to Support Containerized 5G Core Networks," Proc. of the 1st International Workshop on Cloud-Network Convergence (CNC), Sep 23-25, 2024.
A. Sawwan and J. Wu, "Invited Paper: A Combinatorial Multi-Armed Bandit Approach for Stochastic Facility Allocation Problem," Proc. of the ACM Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems Workshop (ApPLIED), Jun 17, 2024. [Slides]
N. Niknami and J. Wu, "DeepIDPS: An Adaptive DRL-based Intrusion Detection and Prevention System for SDN," Proc. of the IEEE International Conference on Communications (ICC), Jun 9-13, 2024.[Slides]
W. Tang, T. Ai, and J. Wu, "Tiresias: Optimizing NUMA Performance with CXL Memory and Locality-Aware Process Scheduling," Proc. of the ACM Turing Award Celebration Conference (ACM TURC), Jun 5-7, 2024.[Slides]