S. Cen, M. Zhang, Y. Zhu, J. Liu, “AdaDSR: Adaptive Configuration Optimization for Neural Enhanced Video Analytics Streaming“, to appear in IEEE Internet of Things Journal, 2023
Y. Kang, Y. Zhu, D. Wang, Z. Han, T. Basar, “Joint Server Selection and Handover Design for Satellite-Based Federated Learning Using Mean-field Evolutionary Approach”, to appear in IEEE Transactions on Network Science and Engineering, 2023.
Q. Pan, H. Cao, Y. Zhu, J. Liu, B. Li, “Contextual Client Selection for Efficient Federated Learning over Edge Devices“, to appear in IEEETransactions on Mobile Computing, 2023. (CCF-A)
S. Shi, Y. Guo, D. Wang, Y. Zhu, Z. Han, “Distributionally Robust Federated Learning for Network Traffic Classification with Noisy Labels“, to appear in IEEETransactions on Mobile Computing, 2023. (CCF-A)
W. Gong, L. Cao, Y. Zhu, F. Zuo, X. He, H. Zhou, “Federated Inverse Reinforcement Learning for Smart ICUs with Differential Privacy“, in IEEE Internet of Things Journal, 2023
C. Wu, Y. Zhu, R. Zhang, Y. Chen, F. Wang, S. Cui, “FedAB: Truthful Federated Learning with Auction-based Combinatorial Multi-Armed Bandit“, in IEEE Internet of Things Journal, 2023
S. Shi, C. Hu, D. Wang, Y. Zhu, Z. Han, “Federated HD Map Updating through Overlapping Coalition Formation Game“, in IEEETransactions on Mobile Computing, 2023. (CCF-A)
D. Chen, Y. Zhu, D. Wang, H. Wang, J. Xie, X. Zhang, Z. Han, “Love of Variety based Latency Analysis for High Definition Map Updating: Age of Information and Distributional Robust Perspectives“, in IEEE Transactions on Intelligent Vehicles, 2022
T. Wang, S. Chen, Y. Zhu, A. Tang, and X. Wang, “LinkSlice: Fine-grained Network Slice Enforcement Based on Deep Reinforcement Learning“, in IEEE Journal on Selected Areas in Communications, 2022. (CCF-A)
J. Zhang, S. Chen, X. Wang, Y. Zhu, “Dynamic Reservation of Edge Servers via Deep Reinforcement Learning for Connected Vehicles“, in IEEE Transactions on Mobile Computing, 2021. (CCF-A)
S. Shi, C. Hu, D. Wang, Y. Zhu, Z. Han, “Federated Anomaly Analytics for Local Model Poisoning Attack“, in IEEE Journal on Selected Areas in Communications, 2021. (CCF-A)
D. Chen, D. Wang, Z. Han, Y. Zhu, “Digital Twin for Federated Analytics Using A Bayesian Approach“, in IEEE Internet of Things Journal, 2021
F. Wang, C. Zhang, F. Wang, J. Liu, Y. Zhu, H. Pang, L. Sun, “DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast With Deep Reinforcement Learning“, in IEEE/ACM Transaction on Networking, 2020 (CCF-A)
F. Wang, Y. Zhu, F. Wang, J. Liu, X. Ma, X. Fan. “Car4Pac: Last Mile Parcel Delivery through Intelligent Car Trip Sharing“, in IEEE Transactions on Intelligent Transportation Systems, 2019.
Y. Zhu, Q. He, J. Liu, B. Li, Y. Hu. “When Crowd Meets Big Video Data: Cloud-Edge Collaborative Transcoding for Personal Livecast“, in IEEE Transactions on Network Science and Engineering, 2018.
Y. Zhu, S. Fu, J. Liu, Y. Cui. “Truthful Online Auction Towards Maximized Instance Utilization in the Cloud“, in IEEE/ACM Transaction on Networking, 2018. (CCF-A)
Conference Papers
J. Huang, Y. Zhu, “SpaceMeta: Global-Scale Massive Multi-User Virtual Interaction over LEO Satellite Constellations“, to appear in IEEE Satellite 2023
D. Song, C. Zhang, Y. Zhu, J. Liu, “LiGo: A Low Cost Cross-Platform Deployment Framework Empowers Video Processing Application“, to appear in ACM NOSSDAV 2023
M. Zhang, Y. Zhu, L. Shen, F. Wang, J. Liu, “OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos“, to appear in IEEE INFOCOM 2023 (CCF-A)
C. Wu, Y. Zhu, F. Wang, “DSFL: Decentralized Satellite Federated Learning for Energy-Aware LEO Constellation Computing“, in IEEE Satellite 2022 (Best Student Paper Award)
Y. Zhu, W. Bao, D. Wang, J. Liu. “A Stackelberg Queuing Model and Analysis for the Emerging Connection-based Pricing in IoT Markets“, in IEEE MASS, 2022
K. Chen, Y. Zhu, Y. Kang, Z. Han. “Few-Shot Correlation Estimation for Cross-Camera Video Analytics: A Mean-Field Game Approach“, in IEEEPIMRC, Native-AI in wireless networks workshop, 2022
C. Tang, K. Ouyang, Z. Wang, Y. Zhu, W. Ji, Y. Wang, W. Zhu. “Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance“, in ECCV 2022
Y. Lu, Y. Zhu, Z. Wang. “Personalized 360-Degree Video Streaming: A Meta-Learning Approach“, in ACM Multimedia, 2022 (CCF-A)
C. Tang, H. Zhai, K. Ouyang, Z. Wang, Y. Zhu, W. Zhu. “Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach“, in ACM Multimedia, 2022 (CCF-A)
X. Yuan, M. Wu, Z. Wang, Y. Zhu, M. Ma, J. Guo, Z. Zhang, W. Zhu. “Understanding 5G Performance for Real-world Services: a Content Provider’s Perspective“, in ACM SIGCOMM, 2022 (CCF-A)
S. Shi, C. Hu, D. Wang, Y. Zhu, Z Han. “Distributionally Robust Federated Learning for Differentially Private Data“, in IEEE ICDCS, 2022
J. Zhang, S. Chen, X. Wang, Y. Zhu. “DeepReserve: Dynamic Edge Server Reservation for Connected Vehicles with Deep Reinforcement Learning“, in IEEE INFOCOM, 2021 (CCF-A)
M. Zhang, Y. Zhu, C. Zhang, J. Liu. “Video processing with serverless computing: a measurement study“, in ACM NOSSDAV, 2019
F. Wang, C. Zhang, J. Liu, Y. Zhu, H. Pang, L. Sun. “Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE“, in IEEE INFOCOM, 2019 (CCF-A)
Y. Huang, Y. Zhu, X. Fan, X. Ma, F. Wang, J. Liu, Z. Wang, Y. Cui. “Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning“, in IEEE ICCCN, 2018
F. Wang, Y. Zhu, F. Wang, J. Liu. “Ridesharing as a Service: Exploring Crowdsourced Connected Vehicle Information for Intelligent Package Delivery“, in IEEE/ACM IWQoS, 2018
Y. Zhu, J. Liu, Z. Wang, C. Zhang. “When Cloud Meets Uncertain Crowd: An Auction Approach for Crowdsourced Livecast Transcoding“, in ACM Multimedia, 2017 (CCF-A)
S. Fu, Y. Zhu, J. Liu. “HARV: Harnessing hybrid virtualization to improve instance (re) usage in public cloud“, in IEEE/ACM IWQoS, 2017
Y. Zhu, S. Fu, J. Liu, Y. Cui. “Truthful Online Auction for Cloud Instance Subletting“, in IEEE ICDCS, 2017
Y. Zhu, J. Jiang, B. Li, B. Li. “Rado: A Randomized Auction Approach for Data Offloading via D2D Communication“, in IEEE MASS, 2015
J. Jiang, Y. Zhu, B. Li, B. Li. “Rally: Device-to-device content sharing in LTE networks as a game“, IEEE MASS, 2015
Demos and Posters
D. Song, Y. Zhu, C. Zhang, J. Liu. “Trueno: A Cross-Platform Machine Learning Model Serving Framework in Heterogeneous Edge Systems“, in IEEE INFOCOM 2022
Y. Zhu, J. Liu. “C2: Procuring uncertain freelancers for interactive live video transcoding“, in IEEE/ACM IWQoS 2017