2023 Publications (Jie Wu)

 


 Journal Publications

Y. Yang, K. Lou, E. Wang , W. Liu, J. Shang, X. Song, D. Li, and J. Wu, "Multi-Agent Reinforcement Learning Based File Caching Strategy in Mobile Edge Computing," IEEE/ACM Transactions on Networking (ToN), Vol. 31, No. 6, 2023, 3159-3174.
H. Zhou, K. Jiang, S. He, G. Min, and J. Wu, "Distributed Deep Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet-of-Vehicles," IEEE Transactions on Wireless Communications (TWC), Vol. 22, No. 12, 2023, 1536-1276.
E. Wang, Y. Xu, Y. Yang, Y. Jiang, F. Yang, and J. Wu, "Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation," Transactions on Knowledge and Data Engineering (TKDE), Vol. 35, No. 9, 2023, 9628-9641.
S. Jiang and J. Wu, "Approaching an Optimal Bitcoin Mining Overlay," IEEE/ACM Transactions on Networking (ToN), Vol. 31, No. 5, 2023, 2013-2026.
Q. Liu, Y. Peng, H. Jiang, J. Wu, T. Wang, T. Peng, and G. Wang, "SlimBox: Lightweight Packet Inspection over Encrypted Traffic," Transactions on Dependable and Secure Computing (TDSC), Vol. 20, No. 5, 2023, 4359-4371.
H. Zhou, T. Wu, X. Chen, S. He, D. Guo, and J. Wu, "Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing," IEEE Transactions on Mobile Computing (TMC), Vol. 22, No. 10, 2023, 6144-6159.
H. Wang, Y. Yang, E. Wang, X. Liu, J. Wei, and J. Wu, "Bilateral Privacy-Preserving Worker Selection in Spatial Crowdsourcing," IEEE Transactions on Dependable and Secure Computing (TDSC), Vol. 20, No. 3, 2023, 2533-2546.
E. Wang, W. Liu, W. Liu, Y. Yang, B. Yang, and J. Wu, "Spatiotemporal Urban Inference and Prediction in Sparse Mobile CrowdSensing: a Graph Neural Network Approach," IEEE Transactions on Mobile Computing (TMC), Vol. 22, No. 11, 2023, 6784-6799.
Y. Chen, L. Luo, D. Guo, O. Rottenstreich, and J. Wu, "SDTP: Accelerating Wide-Area Data Analytics with Simultaneous Data Transfer and Processing," IEEE Transactions on Cloud Computing (TCC), Vol. 11, No. 1, 2023, 911-926.
X. Li, J. Zhou, X. Wei, D. Li, Z. Qian, J. Wu, X. Qin, and S. Lu, "Topology-Aware Scheduling Framework for Microservice Applications in Cloud," IEEE Transaction on Parallel and Distributed Systems (TPDS), Vol. 34, No. 5, 2023, 1635-1649.
Y. Zhao, C. Liu, K. Zhu, S. Zhang, and J. Wu, "GSMAC: GAN-Based Signal map Construction With Active Crowdsourcing," IEEE Transactions on Mobile Computing, Vol. 22, No. 4, 2023, 2190-2204.
H. Wang, Y. Yang, E. Wang, W. Liu, Y. Xu, and J. Wu, "Truthful User Recruitment for Cooperative Crowdsensing Task: A Combinatorial Multi-Armed Bandit Approach," IEEE Transactions on Mobile Computing, Vol. 22, No. 7, 2023, 4314-4331.
Y. Xu, M. Xiao, J. Wu, S. Zhang, and G. Gao, "Incentive Mechanism for Spatial Crowdsourcing With Unknown Social-Aware Workers: A Three-Stage Stackelberg Game Approach," IEEE Transactions on Mobile Computing, Vol. 22, No. 8, 2023, 4698-4713.
J. Chen, W. Jiang, J. Wu, K. Li, and K. Li, "Dynamic Personalized POI Sequence Recommendation with Fine-Grained Contexts," ACM Transactions on Internet Technology, Vol. 23, No. 2, 2023, 1-28.
E. Wang, M. Zhang, W. Liu, H. Xiong, B. Yang, Y. Yang, and J. Wu, "Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing," IEEE/ACM Transactions on Networking, Vol. 31, No. 2, 2023, 648-663.
H. Zhou, M. Li, N. Wang, G. Min, and J. Wu, "Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading," IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 34, No. 2, 2023, 475-488.
S. Huang, H. Huang, G. Gao, Y. Sun, Y. Du, and J. Wu, " Edge Resource Pricing and Scheduling for Blockchain: A Stackelberg Game Approach," IEEE Transactions on Services Computing (TSC), Vol. 16, No. 2, 2023, 1093-1106.
Y. Duan and J. Wu, "Accelerating Distributed Machine Learning with Model Compression and Graph Partition," Journal of Parallel and Distributed Computing (JPDC), Vol. 179, 2023, 104705.

N. Niknami, A. Srinivasan, K. S. Germain, and J. Wu, "Maritime Communications – Current State and the Future Potential with SDN and SDR,"Network, Vol. 3, No. 4, 2023, 563-584.
S. Nakib, I. Jawhar, S. Sindian, and J. Wu, " Networking of Multi-Robot Systems: Issues and Requirements," International Journal of Sensor Networks (IJSNET), Vol. 43, No. 2, 2023, 88-98.
A. Sawwan and Jie Wu, "Diversity-Based Recruitment in Crowdsensing By Combinatorial Multi-Armed Bandits," Tsinghua Science and Technology, Vol. 22, No. 7, 2023, 4314-4331.
A. Nazari, R. Mohammadi, N. Niknami, S. S. Jazaeri, and J. Wu, "The Fuzzy-IAVOA Energy-Aware Routing Algorithm for SDN-based IoT Networks," International Journal of Sensor Networks (IJSNET), Vol. 42, No. 3, 2023, 156-169.
S. Jiang and J. Wu, "A Blockchain-based NFV Market in the Multi-node Edge Computing Network," International Journal of Security and Networks (IJSN), Vol. 18, No. 1, 2023, 52-64.
N. Niknami and J. Wu, "MB-CIM: A Multi-round Budged Competitive Influence Maximization," International Journal of Security and Networks (IJSN), Vol. 18, No. 1, 2023, 30-41.
G. Burduli and J. Wu, "Time Management in a Chess Game through Machine Learning," International Journal of Parallel, Emergent and Distributed Systems (IJPEDS), Vol. 38, No. 1, 2023, 14-34.
B. Zhou, S. Li, J. Wang, Y. Cheng, and J. Wu, "A secure model against mobile sink replication attacks in unattended sensor networks," Journal of Computer Networks Vol. 221, 2023, 109529.
S. Lu, J. Wu, N. Wang, Y. Duan, H. Liu, J. Zhang, and J. Fang, "Resource Provisioning in Collaborative Fog Computing for Multiple Delay-Sensitive Users," Software: Practice and Experience, Vol. 53, No. 2, 2023, 243-262.

Book & Book Chapters

J. Wu and E. Wang, "Mobile Crowdsourcing: From Theory to Practice," Springer, 2023.
 J. Wu, C. Song, and W. Chang, "Crowdsourcing as a Future Collaborative Computing Paradigm," Mobile Crowdsourcing, Springer, 2023.

Magazine Articles

H. Gao, M. T. Thai, and J. Wu, "When Decentralized Optimization Meets Federated Learning," IEEE Network, 2023.

Conference Proceedings

N. Niknami, A. Sawwan, and J. Wu, "SmartPipe: Intelligently Freezing Layers in Pipeline Parallelism for Distributed DNN Training," Proc. of the IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023), December 17-21, 2023.[Slides]
S. Lu, R. Yan, and J. Wu, "Efficient Microservice Deployment With Dependencies in Multi-Access Edge Computing," Proc. of the IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023), December 17-21, 2023.[Slides]
C. Wu, M. Xiao, J. Wu, Y. Xu, J. Zhou, and H. Sun, "Towards Federated Learning on Fresh Datasets," Proc. of the 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), Sep 25-27, 2023.[Slides]
J. Li, S. Gun, W. Liang, J. Wu, Q. Chen, Z. Xu, W. Xu, and J. Wang, "Wait for Fresh Data? Digital Twin Empowered IoT Services in Edge Computing," Proc. of the 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), Sep 25-27, 2023.[Slides]
J. Wang, Y. Mao, Z. Wang, J. Wu, and J. Wu, "Joint Focal Loss and Dominant Gradient Correction for Gradient Conflict in Federated Learning," Proc. of the 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), Sep 25-27, 2023.[Slides]
D. Hao, E. Wang, W. Liu, W. Liu, J. Wu, and J. Yuan, "Active Sensing for Transformer Model in Sparse Mobile CrowdSensing," Proc. of the 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023), Sep 25-27, 2023.
M. L. Morgia, A. Mei, A. M. Mongardini, and J. Wu, "It's a Trap! Detection and Analysis of Fake and Clone Channels on Telegram," Proc. of the EEE International Conference on Web Services (ICWS 2023), Jul 2-8, 2023.
G. Gao, H. Huang, J. Wu, S. Huang, and Y. Du, "You Can Trade Your Experience in Distributed Multi-Agent Multi-Armed Bandits," Proc. of the IEEE/ACM International Symposium on Quality of Service (IWQoS 2023), Jun 19-21, 2023.
E. Wang, Z. Tian, Y. Yang, W. Liu, B. Li, N. Jiang, and J. Wu, "Data-Driven Similarity-based Worker Recruitment Towards Multi-task Data Inference for Sparse Mobile Crowdsensing," Proc. of the IEEE/ACM International Symposium on Quality of Service (IWQoS 2023), Jun 19-21, 2023.
A. Sawwan and J. Wu, "A New Framework: Short-Term and Long-Term Returns in Stochastic Multi-Armed Bandit," Proc. of the IEEE International Conference on Computer Communications (INFOCOM 2023), May 17-20, 2023. [Slides]
M. Xiao, Yin Xu, J. Zhou, J. Wu, S. Zhang, and J. Zheng, "AoI-aware Incentive Mechanism for Mobile Crowdsensing using Stackelberg Game," Proc. of the IEEE International Conference on Computer Communications (INFOCOM 2023), May 17-20, 2023. [Slides]

B. Zhang, Y. Mao, Z. Tu, X. He, P. Pingand, and J. Wu, "Optimizing Privacy-Accuracy Trade-off in DP-FL via Significant Gradient Perturbation," Proc. of 19th International Conference on Mobility, Sensing, and Networking (MSN), 2023.
Y. Mao, Z. Wang, J. Wu, L. Shen, S. Xu, and J. Wu, "Two-way Delayed Updates with Model Similarity in Communication-Efficient Federated Learning," Proc. of 19th International Conference on Mobility, Sensing, and Networking (MSN), 2023.
J. Wu, "Invited Paper: On Cost-Optimal Parallel Solution of the Majority Problem," Proc. of 25th IEEE Workshop on Advances in Parallel and Distributed Computational Models (APDCM) (in conjunction with IEEE IPDPS), 2023. [Slides]
S. Jiang, J. Wu, F. Zuo, and A. Mei, "Balance-aware Cost-efficient Routing in the Payment Channel Network," Proc. of 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), 2023.
J. Chen, A. Sawwan, S. Yang, and J. Wu, "Wireless Channel Prediction in Different Locations Using Transfer Learning," Proc. of the National Workshop for REU Research (REUNS 2023), Oct 23-26, 2023.[Poster]
D. Yeom, N. Niknami, and J. Wu, "Evaluating Performance of Intrusion Detection Systems under Different Configurations in SDN," Proc. of the National Workshop for REU Research (REUNS 2023), Oct 23-26, 2023.