2025 Publications (Jie Wu)

 


Journal Publications

W. Jiang, S. Li, X. Li, K. Li, and J. Wu, "Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation," accepted to appear in ACM Transactions on Information Systems (TOIS).
Z. Yao, L. Lin, F. Xia, and J. Wu, "Load Balancing Heterogeneous Multipath Authentication Routing Selection for Endogenous Software-Defined Networks," accepted to appear in IEEE Transactions on Reliability (TR).
B. Zhang, Y. Mao, H. Zheng, X. Li, J. Huang, X. He, and J. Wu, "Adaptive Knowledge Transfer for Federated Learning with Large Models on Edge IoT Devices," accepted to appear in IEEE Internet of Things Journal (IoT-J).
Z. Li, C. Wu, C. Xu, Q. Chen, S. Quan, B. Zha, Q. Wang, W. Han, J. Wu, and M. Guo, "Lightweight and Holistic-scalable Serverless Secure Container Runtime for High-density Deployment and High-concurrency Startup," accepted to appear in IEEE Transactions on Computers (TC).
S. Lu, X. Jin, J. Wu, S. Zhou,  J. Yang, R. Yan, H. Liu, and  Z. Cai, "Enhanced Multi-Stage Optimization of Dynamic QoS-Aware Service Caching and Updating in Mobile Edge Computing," accepted to appear in IEEE Transactions on Network and Service Management (TNSM).
C. Wei, W. Jiang, K. Li, and J. Wu, "Stability-aware Preference Modeling for Sequential Recommendation," accepted to appear in IEEE Transactions on the Web.
X. Zhu, L. Lin, Y. Huang, X. Wang, S. Hsieh, and J. Wu, "Forward Legal Anonymous Group Pairing-Onion Routing for Mobile Opportunistic Networks," accepted to appear in IEEE Transactions on Mobile Computing (TMC).
B. Zhang, Y. Mao, X. He, P. Ping, H. Huang, and J. Wu, "Exploring the Privacy-Accuracy Trade-off Using Adaptive Gradient Clipping in Federated Learning," accepted to appear in IEEE Transactions on Network Science and Engineering (TNSE).
N. Chen, S. Zhang, J. Wu, H. Huang, and S. Lu, "Spliceosome: On-Camera Video Thinning and Tuning for Timely and Accurate Analytics," accepted to appear in IEEE Transactions on Networking.
J. Li, Z. Chen, T. Zang, T. Liu, J. Wu, and Y. Zhu, "Reinforcement Learning-based Dual-Identity Double Auction in Personalized Federated Learning," accepted to appear in IEEE Transactions on Mobile Computing (TMC).
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).
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).
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).
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.
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).
B. Zhang, Y. Mao, X. He, H. Huang, and J. Wu, "Balancing Privacy and Accuracy using Significant Gradient Protection in Federated Learning," IEEE Transactions on Computers, Vol. 74, No. 1, 2025, 278-292.
Y. Liang, S. Zhang, and J. Wu, "Scrava: Super Resolution-based Bandwidth-Efficient Cross-Camera Video Analytics," IEEE Transactions on Mobile Computing (TMC), Vol. 24, No. 1, 2025, 293-305.

> E. Wang, Q. Meng, W. Liu, B. Yang, and J. Wu, "Spatiotemporal Extrapolation through Conditional Diffusion Probability Models," accepted to appear in IEEE Internet of Things Journal.
> N. Niknami, V. Mahzoon, S. Vucetic, and J. Wu, "Enhanced Meta-IDS: Adaptive multi-stage IDS with sequential model adjustments," accepted to appear in High-Confidence Computing (HCC).
A. Sawwan and J. Wu, "Modified Index Policies for Multi-Armed Bandits with Network-Like Markovian Dependencies," accepted to appear in Network.
B. Zhang, Y. Mao, H. Xu, Y. Chen, T. Muazu, X. He, and J. Wu, "Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices with Non-IID Data," accepted to appear in IEEE Internet of Things Journal (IoT).
S. Li, B. Zhou, D. Miao, Y. Cheng, and J. Wu,, "A new pairwise key scheme based on deployment knowledge in multi-phase sensor networks," accepted to appear in IEEE Internet of Things Journal (IoT).
S. Li, B. Zhou, D. Miao, Y. Cheng, and J. Wu,, "A new key establishment method based on random key pre-distribution in sensor networks," accepted to appear in IEEE Internet of Things Journal (IoT).
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).
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).
C. Huang, W. Jiang, K. Li, J. Wu, J. Zhang, " Enhancing learning process modeling for session-aware knowledge tracing," Knowledge-Based Systems, Vol. 309, 2025, 112740.
X. Li, M. Teng, Meiyan, Y. Bu, J. Qiu, X. Qin, and J. Wu, "Cooperation-based server deployment strategy in mobile edge computing system," Computer Networks , Vol. 257, 2025, 110932.
Y. Lu, J. Qi, S. Zhang, G. Luo, A. Zhu, J. Wu, and Z. Qian, "ABUV: Adaptive bitrate and upsampling for video streaming on mobile devices," Computer Networks , Vol. 257, 2025, 110994.

Conference Proceedings

N. Niknami, V. Mahzoon, R. Biswas, S. Vucetic, and J. Wu, "An Interpretable Multi-Modal Transformer-Based Intrusion Detection System Utilizing Log Messages and PCAP Files," in Proceedings of the IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2025.
K. Huang, Y. Mao, B. Zhang, Y. Chen, Y. Chen, and J. Wu, "Efficient Zero-Cost Neural Architecture Search for Personalized AI Systems in Cloud-Edge Networks," in Proceedings of the IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2025.
S. Lu, B. Xiang, J. Wu, Z. You, and W. Cai, "SoCL: Scalable and Latency-Optimized Microservices in Serverless Edge Computing," in Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER), 2025.
M. Ye, J. Wu, and R. Deng, "Leave No One Behind: Fairness-Aware Federated Learning through Adaptive Client Grouping," in Proceedings of the IEEE International Conference on Parallel Processing (ICPP), 2025.
Y. Wang, W. Tang, L. Meng, L. Li, and J. Wu, "Origami: Efficient ML-Driven Metadata Load Balancing for Distributed File Systems," in Proceedings of the IEEE International Conference on Parallel Processing (ICPP), 2025.
C. Ding, M. Xiao, Y. Xu, and J. Wu, "Federated Learning Framework with Personalized Model Compression and Privacy Protection," in Proceedings of the IEEE International Conference on Computer Communications and Networks (ICCCN), 2025.
S. Lu, B. Xiang, J. Wu, P. Andelfinger, and W. Cai, "Multi-Timescale Hierarchical Prefetching for Online Caching in Vehicular Edge Networks," in Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS), 2025.
S. Shi, V. Mahzoon, X. Wang, S. Mao, J. Wu, and S. Vucetic, "Towards a Unified Few-Shot Learning Evaluation Framework for RF Fingerprinting," in Proceedings of the IEEE Global Communications Conference (GLOBECOM), 2025.
C. Jiang, D. Zhao, Z. Wu, C. Zhao, and J. Wu, "Nip it in the Bud: Unsupervised KPI Incipient Fault Detection via Dynamic Latent Feature Ensembling," in Proceedings of the 44th IEEE International Symposium on Reliable Distributed Systems (SRDS), 2025.
J. Zhao, Q. Luo, S. Zhang, S. Gao, and J. Wu, "HDCFN: Haze Distribution-aware Cross-modal Fusion Network for Infrared-guided Dense Haze Removal in UAVs," to appear in Proceedings of the 2025 ACM Multimedia Conference (ACM MM), 2025.
K. Jin, L. Xu, X. Wang, S.-Y. Hsieh, J. Wu, and L. Lin, "FedCPD: Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation," to appear in Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.
X. Wang, B. Ye, L. Xu, L. Wu, S.-Y. Hsieh, J. Wu, and L. Lin, "FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients," to appear in Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.
L. Lin, J. Xu, X. Wang, L. Chen, S.-Y. Hsieh, and J. Wu, "RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework," to appear in Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.
D. Huo, Z. Zheng, X. Huang, H. Chen, J. Hu, Z. Yan, F. Wu, and J. Wu, "Joint Prediction and Matching for Computing Resource Exchange Platforms," Proc. of the International Conference on Parallel Processing (ICPP), Sep 8-11, 2025.
W. Tang, Y. Wang, Y. Wang, and J. Wu, "Leave No One Behind: Fair and Efficient Tiered Memory Management for Multi-Applications," Proc. of the International Conference on Parallel Processing (ICPP), Sep 8-11, 2025.
Y. Wang, W. Tang, L. Meng, L. Li, and J. Wu, "Origami: Efficient ML-Driven Metadata Load Balancing for Distributed File Systems," Proc. of the International Conference on Parallel Processing (ICPP), Sep 8-11, 2025.
J. Shen, H. Zhu, L. Zhang, Y. Li, S. Chang, J. Wu, and M. Guo, "DiVE: Differential Video Encoding for Online Edge-assisted Video Analytics on Mobile Agents,"Proc. of the 45th IEEE International Conference on Distributed Computing Systems (ICDCS), Jul 20-23, 2025.
W. Liu, H. Du, E. Wang, D. Luan, B. Yang, Y. Yang, and J. Wu, " Non-Aligned Multi-Scale Data Completion for Sparse Mobile CrowdSensing," Proc. of the IEEE/ACM International Symposium on Quality of Service (IWQoS), Jul 2-4, 2025.
X. Zhang, H. Xu, Y. Xu, M. Xiao, J. Wu, and J. Zhou, "Online Federated Learning on Distributed Unknown Data Using UAVs," Proc. of the 41th IEEE International Conference on Data Engineering (ICDE), May 19-23, 2025.
H. Zhao, H. Li, Q. Tian, J. Wu, M. Zhang, Z. Xu, X. Li, and H. Xu, "ArrayPipe: Introducing Job-Array Pipeline Parallelism for High Throughput Model Exploration," Proc. of the IEEE International Conference on Computer Communications (INFOCOM), May 19-22, 2025. [Slides]
J. Zhou, Y. Zhao, Y. Xu, J. Wu, and S. Zhang, "PSFL: Parallel-Sequential Federated Learning with Convergence Guarantees," Proc. of the IEEE International Conference on Computer Communications (INFOCOM), May 19-22, 2025. [Slides]
Y. Liang, S. Zhang, and J. Wu, "Online Optimization of Offloading Video Analytics Tasks to Multiple Edges for Accuracy Maximization," Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Apr 6-11, 2025.
Y. Liang, S. Zhang, and J. Wu, "Volatile MAB-based Configuration Selection for Offloading Video Analytics Tasks to Edges," Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Apr 6-11, 2025.
T. Li, F. Liang, J. Quan, C. Huang, T. Wang, R. Huang, J. Wu, and X. Hu, "TASTE: Towards Practical Deep Learning-based Approaches for Semantic Type Detection in the Cloud," Proc. of the 28th International Conference on Extending Database Technology (EDBT), Mar 25-28, 2025.

R. Hu, C. Song, J. Wu, and L. Lu, "A Cloud-Edge Collaborative Framework for Distributed Triangle Counting on Graph Stream," Proc. of the IEEE International Conference on Communications (ICC), Jun 8-12, 2025.
M. Zang, F. De Iaco, J. Wu, M. Savi, "In-Kernel Traffic Sketching for Volumetric DDoS Detection," Proc. of the IEEE International Conference on Communications (ICC), Jun 8-12, 2025.
B. Zhanga, Y. Maoa, P. Zhangb, H. Zhenga, X. Hec, J. Kang, and J. Wu, "Adaptive Federated Learning for Large Models with Scarce and Non-IID Data in Cloud-Edge Networks," Proc. of the IEEE INFOCOM Workshops (IEILM), May 19-22, 2025.
N. F. Prangon, A. Sawwan, and J. Wu, "Resource Optimized Task Offloading in Delay Sensitive Edge Networks," Proc. of the International Conference on Computing, Networking and Communications (ICNC), Feb 17-20, 2025.