2026 Publications (Jie Wu)

 


Journal Publications


W. Liu, H. Du, L. Li, Q. Deng, L. Wang, F. Yang, E. Wang, and J. Wu, "Privacy-Preserving Data Completion With Location and Value Obfuscation in Spatial Crowdsourcing," accepted to appear in IEEE Transactions on Dependable and Secure Computing, 2026.
X. Zhu, Y. Huang, L. Lin, S.-Y. Hsieh, and J. Wu, "Fault Tolerability Analysis of Split-Star Networks Based on Component Fault Pattern," accepted to appear in IEEE Transactions on Networking (ToN), 2026.
Z. Yao, Y. Huang, L. Lin, L. Xu, X. Jia, and J. Wu, "EFL-ITS: An Energy-Efficient Learning Framework for Load Balancing in SDN-Enabled Intelligent Transportation Systems," accepted to appear in IEEE Transactions on Mobile Computing (TMC), 2026.
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 (TW).
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).
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).
Y. Yang, W. Tang, L. Zhao, K. Li, and J. Wu, " Improving the Serverless Function Cache Efficiency with Flame," accepted to appear in IEEE Transactions on Computers (TC).
J. Li, J. Wang, W. Liang, J. Wu, Q. Chen, and Z. Xu, "DT-Empowered, Social-Aware Service Provisioning in Edge Computing," IEEE Transactions on Networking (ToN), Vol. 34, pp. 4794-4808, 2026.
Y. Zhao, H. Sun, M. Xiao, J. Wu, J. Shao, and J. Cai, "Edge-Assisted Multi-Vehicle Cooperative Perception: An Approach Based on Relative Pose Estimations," IEEE Transactions on Mobile Computing (TMC), Vol. 25, No. 7, pp. 10211-10224, 2026.
Z. Zhai, S. Hu, W. Ni, X. Yuan, X. Wang, and J. Wu, "Spectral-Convergent Decentralized Machine Learning: Theory and Application in Space Networks," IEEE Transactions on Mobile Computing (TMC), Vol. 25, No. 7, pp. 10788-10799, 2026.
E. Wang, B. Li, W. Liu, Z. Han, C. Wang, X. Li, and J. Wu, "Federated Learning-Based Distributed Data Completion in Sparse Mobile CrowdSensing," IEEE Transactions on Mobile Computing (TMC), Vol. 25, No. 5, pp. 6784-6800, 2026.
J. Shi, J. Chen, Q. Chen, K. Fu, F. Du, Z. Li, D. Zeng, J. Cao, S. Quan, J. Wu, and M. Guo, "Delphinus: Improving Resource Efficiency of Applications with Shared Microservices and Diverse Queries," ACM Transactions on Architecture and Code Optimization (ACM), Vol. 23, No. 2, Article 64, 2026.
H. Guo, S. Quan, R.-X. Hao, and J. Wu, "Redundant Hierarchical Ring All-Reduce in Hypercubes," IEEE Transactions on Reliability, Vol. 75, PP. 1350-1364, 2026.
W. Liu, E. Wang, B. Yang, Y. Yang, and J. Wu, "Data Pricing via Uncertainty Quantification for Sparse Mobile CrowdSensing," IEEE Transactions on Services Computing (TSC), Vol. 19, No. 2, pp. 1062-1074, 2026.
Y. Liang, J. Ge, J. Wu, S. Zhang, S. Wen, and B. Luo, " Reload: Deep Reinforcement Learning-based Workload Distribution for Collaborative Edges," Journal of Parallel and Distributed Computing (JPDC), Vol. 209, 105191, 2026.
Y. Zou, Q. Liu, J. Wu, T. Wang, G. Chen, T. Peng, and G. Wang, " CAA: Toward Camouflaged and Transferable Adversarial Examples," IEEE Transactions on Information Forensics and Security (TIFS), Vol. 21, pp. 1393-1408, 2026.
J. Bai, H. Song, A. Liu, N. N. Xiong, and J. Wu, " Integrated Sensing and Communications for Sparse Data: A Quality-driven Privacy-Preserving Truth Discovery System," IEEE Journal on Selected Areas in Communications (JSAC), Vol. 44, pp. 849-865, 2026.
J. Guo, J. Tang, A. Liu, N. N. Xiong, J. Wu, X. Ouyang, and J. Huang, " COOL: A Cloud-Fog Federated Learning System with Multimodal Isolated Client Data in Edge Networks," IEEE Transactions on Mobile Computing (TMC), Vol. 25, No. 4, pp. 5199-5216, 2026.
C. Chen, Y. Zhao, Z. Zhang, W. Li, and J. Wu, " Towards Efficient and Scalable Asynchronous Federated Learning Via Stragglers Version Control," IEEE Transactions on Mobile Computing (TMC), Vol. 25, No. 2, pp. 2627-2643, 2026.
W. Liu, H. Du, E. Wang, J. Lv, W. Liu, B. Yang, and J. Wu, "Spatio-Temporal Pyramid-Based Multi-Scale Data Completion in Sparse Crowdsensing," IEEE Transactions on Mobile Computing (TMC), Vol. 25, No. 1, pp. 1270–1286, 2026.
Y. Yang, W. Tang, L. Zhao, K. Li, and J. Wu, " Improving the Serverless Function Cache Efficiency with Flame," IEEE Transactions on Computers (TC), Vol. 75, No. 3, pp. 817-831, 2026.
T. Pang, Y. Mao, Z. Pan, R. Qi, B. Zhang, X. He, and J. Wu, "Efficient LLM Deployment in Consumer Electronics Applications via Resource-Aware and Salience-Guided Quantization," IEEE Transactions on Consumer Electronics (TCE), Vol. 72, No. 1, pp. 2122-2134, 2026.
H. Zhou, J. Guo, Z. Yu, G. Min, X. Liu, L. Zhao, and J. Wu, "Three-Stage Stackelberg Game-Based Federated Learning With Wireless Power Transfer," IEEE/ACM Transactions on Networking (ToN), Vol. 34, pp. 3963-3978, 2026.
P. Deng, Y. Huang, L. Lin, S.-Y. Hsieh, and J. Wu, "Cyclic Fault Diagnosability and Diagnosis Algorithms of BC Networks," IEEE/ACM Transactions on Networking (ToN), Vol. 34, pp. 2544–2557, 2026.
L. Lin, Y. Huang, X. Wang, D. Wang, S.-Y. Hsieh, and J. Wu, "Intermittent Fault Diagnosis of Data Center Network CSDC Under Probabilistic Fault Model," IEEE/ACM Transactions on Networking (ToN), Vol. 34, pp. 2347–2361, 2026.
S. Lu, R. Yan, J. Wu, Z. Cai, J. Yang, S. Zhou, H. Liu, and J. Fang, " Practical Efficient Deployment and Updating for Microservice With Dependencies in Multi-Access Edge Computing," IEEE Transactions on Services Computing (TSC), Vol. 19, No. 1, pp. 589-602, 2026.

C. Jiang, Y. Yang, S. Gao, J. Li, and J. Wu, "FusionAdvisor: Decision Guidance for Efficient Operator Fusion in Deep Models," accepted to appear in Big Data Mining and Analytics (BDMA), 2026.
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).
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 (IoT-J).
A. Sawwan and J. Wu, "Modified Index Policies for Multi-Armed Bandits with Network-Like Markovian Dependencies," accepted to appear in Computer Network (CN).
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-J).
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-J).
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. Zhang, M. T. Thai, J. Wu, and H. Gao, "On the Communication Complexity of Decentralized Stochastic Bilevel Optimization," Machine Learning, Vol. 115, Article 101, 2026.
H. Pan, N. Chen, H. Huang, Y.-E. Sun, X. Wang, Y. Xing, S. Zhang, and J. Wu, "DACC: Discerning and adaptive offloading for coarse-grained content-aware video analytics," Computer Networks (CN), Vol. 280, 112130, 2026.
A. Sawwan, M. Xiao, and J. Wu, " Age of Information Utility-based Routing in Networks with Unreliable Links," Computer Networks (CN), Vol. 279, 112121, 2026.

Conference Proceedings

Y. Li, T. Pang, Z. Cai, Z. Pan, Y. Mao, and J. Wu, "IHS-LM: Intra-batch Hybrid Scheduling and Layer Migration for VLM Pipeline Inference Acceleration on Edge Devices," Proc. of the 55th International Conference on Parallel Processing, 2026. [Slides]
Y. Zhuang, C. Gong, Z. Zheng, J. Lei, X. Huang, J. Wu, F. Wu, and G. Chen, "Sparsity-Aware Scheduling for Efficient MoE-Based LLM Serving on Edge Servers," Proc. of the ACM International Conference on Mobile Computing and Networking (MobiCom), 2026.
H. Wang, J. Qiu, Z. Li, L. Gong, F. Qian, Y. Li, J. Du, Z. Zhang, J. Zhen, Y. Liu, D. Sun, X. Li, Y. Liang, and J. Wu, "Cellulars Go Underground: Practical Obstacles and Effective Mitigation," Proc. of the 32nd Annual International Conference on Mobile Computing and Networking (MobiCom), 2026.
L. Li, S. Gong, Y. Yang, Y. Wang, and J. Wu, "I/O Optimizations for Graph-Based Disk-Resident Approximate Nearest Neighbor Search: A Design Space Exploration," Proc. of the Very Large Databases (VLDB), 2026.
G. Li, Y. Li, M. Zang, J.Wu, "LEVELLER: Fair Communication Scheduling via Progress-Rate Awareness in Multi-Tenant Training Clusters," Proc. of the ACM Special Interest Group on Data Communication Conference (SIGCOMM), 2026.
L. Chen, Y. Huang, L. Lin, X. Wang, W. Lou, J. Wu, and S. Hsieh, "Bridge: A Cross-Modal Learning Framework for Unified Semantic Representation in Noisy Communication," Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), 2026.
J. Zhao, Q. Luo, and J. Wu, "Edge-Cloud Collaborative Multimodal Dehazing for UAV Vision," Proc. of the 32th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026.
Y. Zhang, X. Zhang, M. T. Thai, J. Wu, and H. Gao, "Convergence Analysis of Decentralized Hessian-/Jacobian-Free Algorithm for Nonconvex Stochastic Bi-Level Optimization," Proc. of the 43rd International Conference on Machine Learning (ICML), 2026.
L. Chen, X. Wang, L. Lin, D. Wang, Z. Liu, and J. Wu, "Grasp: Refining Semantic Graphs into Purified Knowledge for Cross-Modal Communication," Proc. of the ACM Web Conference (WWW), 2026. [Slides]
J. Wu, L. Lin, X. Wang, K. Xu, and J. Wu, "CausalSKyHop: Knowledge-Aware Causal Explanation of Dynamic GNNs via Higher-Order Semantic Reasoning," Proc. of the ACM Web Conference (WWW), 2026. [Slides]
E.Wang, F. Zhou, H. Du, W. Liu, and J. Wu, "SE-STGAE: A Shapelet-Enhanced Spatiotemporal Graph Autoencoder for Early Anomaly Detection," Proc. of the IEEE/ACM International Symposium on Quality of Service (IWQoS), 2026. [Slides]
X. Huang, R. R. Liu, and J. Wu, "TAILOR: Token-Aware Transformer Inference for Edge-Cloud Systems," Proc. of the IEEE/ACM International Symposium on Quality of Service (IWQoS), 2026. [Slides]
S. Quan, Z. Chen, and J. Wu, "Chain-Based Service Function Chain Placement: Optimizing Latency in Multi-Topology Networks," Proc. of the IEEE/ACM International Symposium on Quality of Service (IWQoS), 2026. [Slides]
S. Li, Y. Liang, R. Li, J. Li, and J. Wu, "Ygg: Tree-Based Collaborative Speculative Decoding with Token-Only Transmission," Proc. of the IEEE/ACM International Symposium on Quality of Service (IWQoS), 2026. [Slides]
P. Wang, Z. Zheng, X. Huang, J. Wu, F. Wu, and G. Chen, "KV Cache Reuse for Elastic LLM Inference on Edge Devices," Proc. of the IEEE International Conference on Distributed Computing Systems (ICDCS), 2026.
M. Zhang, E. Wang, W. Liu, J. Zhao, Y. Xu, B. Yang, and J. Wu, "Physics-Inspired Decomposition for Weak Low-Rank Spatiotemporal Completion in Sparse Crowdsensing," Proc. of the IEEE International Conference on Distributed Computing Systems (ICDCS), 2026.
F. Yu, X. Zhu, C. Hu, Y. Wang, D. Xia, X. Zheng, and J. Wu, "Enabling Reliable and Real-time Packet Reception in User-defined Overlapping LoRa Channels," Proc. of the IEEE International Conference on Sensing, Communication, and Networking (SECON), 2026.
H. Li, S. Tong, J. Zhang, S. Gao, J. Wang and J. Wu, "UniChirp: Unwrapping In-Chirp Phase Misalignment for Weak LoRa Signal Demodulation," Proc. of the IEEE International Conference on Sensing, Communication, and Networking (SECON), 2026.
Y. Liu, Y. Ruan, L. Ruan, Z. Li, S. Gao, W. Cui, S. Sun, Q. Chen, S. Quan, J. Wu, B. He, and M. Guo, "FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services," Proc. of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2026. [Slides]
J. Zhou, Y. Xu, H. Xu, M. Xiao, and J. Wu, "Age-of-Information-Aware Mobile Crowdsensing for Uncertain Event Capture," Proc. of the IEEE International Conference on Computer Communications (INFOCOM), 2026.[Slides]
Y. Liang, J. Chang, S. Li, M. Zang, and J. Wu, "Mercury: Towards Optimal Accuracy-Latency Trade-off for Collaborative Transformer Inference," Proc. of the IEEE International Conference on Computer Communications (INFOCOM), 2026.[Slides]
Y. Xu, M. Zhou, C. Wang, J. Zheng, G. Chen, and J. Wu, "ReOpt: Near-Optimal Region Division for Low-Latency Regional Anycast," Proc. of the IEEE International Conference on Computer Communications (INFOCOM), 2026.[Slides]
Z. Wang, H. Li, J. Wu, Z. Xu, H. Zhao, Q. Tian, and H. Xu, "Rehabilitating over Recomputing: A Novel Failure Recovery Method for Large Model Training," Proc. of the IEEE International Conference on Computer Communications (INFOCOM), 2026.[Slides]
Y. Wang, L. Meng, L. Li, and J. Wu, "Accelerating Metadata Management of DFS via Speculative Permission Checking," Proc. of the IEEE International Conference on Data Engineering (ICDE), 2026. [Slides]
J. Gu, C. Song, J. Huang, J. Wu, R. Hu, and L. Lu, "Domination Strategies for Free-Riding in Cross-Silo FL-Based Caching," Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026. [Slides]
L. Meng and J. Wu, "Tight Regret Bounds for Mean-Reverting Linear Bandits via Recursive State Estimation," Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026. [Slides]
L. Meng and J. Wu, "Change Detection Methods for Non-Stationary Stochastic Linear Bandits," Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026. [Slides]
Y. Wu, R. Wang, M. Zang, and J. Wu, "Directional Flow Graph Framework for Detecting Known and Unknown Malicious Traffic," Proc. of the 31 International Conference on Database Systems for Advanced Applications (DASFAA), 2026. [Slides]
Y. Yang, Z. Jiang, M. Zhu, H. Xu, Y. Wang, L. Li, J. Zhang, and J. Wu, "gShare: Efficient GPU Sharing with Aggressive Scheduling in Multi-tenant Faas platform," Proc. of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 838-859, 2026. [Slides]
Y. Zou, Q. Liu, J. Wu, Y. Peng, G. Chen, H. Zhou, and G. Ye, "Boosting Adversarial Transferability via Ensemble Non-Attention," Proc. of the AAAI Conference on Artificial Intelligence (AAAI), 2026. [Slides]

J. Wu, S. Guan, and X. Huang , " A Comprehensive Comparison of Two Resource Allocation Schemes in DCNs under the Hose Model," Proc. of the IEEE International Conference on Communications (ICC), 2026. [Slides]
Z. Wang, W. Liu, E. Wang, and J. Wu, " Privacy-Preserving Federated Active Learning for Data Completion in Sparse Crowdsensing," Proc. of the IEEE International Conference on Communications (ICC), 2026. [Slides]
Y. Chen, Y. Mao, H. Xu, B. Zhang, X. He, M. Du, and J. Wu, " Efficient and Robust Federated Learning via Synergistic Aggregation on Heterogeneous Devices," Proc. of the IEEE International Conference on Communications (ICC), 2026. [Slides]
N. Niknami and J. Wu, " AdaptiveOnline-IDS: Efficient Intrusion Detection via Lifelong Learning and Knowledge Distillation," Proc. of the IEEE International Conference on Communications (ICC), 2026. [Slides]
X. Huang, Y. Yang, Y. Wang, and J. Wu, " Joint Pricing and Scheduling for SLA-aware Serverless GPU Services," Proc. of the IEEE International Conference on Communications (ICC), 2026. [Slides]
N. F. Prangon and J. Wu, "Beyond the Teacher-Student Paradigm: The Role of Network Structure in Knowledge Distillation," Proc. of the International Conference on Computing, Networking and Communications (ICNC), 2026.
N. Niknami and J. Wu, "RAN-IDS: Adaptive Continual Learning for Intrusion Detection in Open RAN," Proc. of the International Conference on Computing, Networking and Communications (ICNC), pp. 1-5, 2026.