Full List of Publications

Conference

  1. Xiaoxi Zhang, Haoran Xu, Longhao Zou, Jingpu Duan, Chuan Wu, Yali Xue, Zuozhou Chen, and Xu Chen, "Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming", In Proceedings of International Conference on Computer Communications (INFOCOM), 2024

  2. Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, and Carlee Joe-Wong, "Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits", In Proceedings of International Conference on Computer Communications (INFOCOM), 2024

  3. Harry Jiang, Xiaoxi Zhang, and Carlee Joe-Wong, "DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances", In Proceedings of International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2023

  4. Tianyu Zeng, Xiaoxi Zhang, Daipeng Feng, Jingpu Duan, Zhi Zhou, and Xu Chen, "RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge", IEEE International Conference on Mobility, Sensing and Networking (MSN), 2023

  5. Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, and Xu Chen, "EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning", In Proceedings of the 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2023

  6. Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, and Xu Chen, "AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning", In Proceedings of IEEE/ACM International Symposium on Quality of Service (IWQoS), 2023 (Best paper candidate, top 6 in 264 submissions)

  7. Tianxiang Zhu, Xiaoxi Zhang, Jingpu Duan, Zhi Zhou, and Xu Chen, "A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning ", In Proceedings of IEEE/ACM International Symposium on Quality of Service (IWQoS), 2023

  8. Yihong Li, Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, and Chuan Wu, "TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning", In Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2023

  9. Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, and Carlee Joe-Wong, "MoDEMS: Optimizing Edge Computing Migrations for User Mobility", In Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2022

  10. Haowei Chen, Liekang Zeng, Xiaoxi Zhang, and Xu Chen "AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones", In Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS), 2022

  11. Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, and Xu Chen, "Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing", In Proceedings of the ACM Web Conference (WWW), 2022

  12. Yichen Ruan, Xiaoxi Zhang, and Carlee Joe-Wong, "How Valuable Is Your Data? Optimizing Client Recruitment in Federated Learning", In Proceedings of International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2021

  13. Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, and Carlee Joe-Wong, "Towards Flexible Device Participation in Federated Learning", In Proceedings ofInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021

  14. Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, and Carlee Joe-Wong, "Machine Learning on Volatile Instances", In Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Beijing, China, April 27-30, 2020 (acceptance rate: 19.8%)

  15. Jinhang Zuo, Xiaoxi Zhang, and Carlee Joe-Wong, "Observe Before Play: Multi-armed Bandit with Pre-observations", In Proceedings of AAAI Conference on Artificial Intelligence, 2020 (acceptance rate: 20.6%)

  16. Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Hoh, and Carlee Joe-Wong, "A generative simulation platform for multi-agent systems with incentives", In Proceedings of UbiComp-ISWC’20: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers

  17. Xiaoxi Zhang, Siqi Chen, Youngbin Im, Maria Gorlatova, Sangtae Ha, and Carlee Joe-Wong, "Towards Automated Network Management: Learning the Optimal Protocol Selection ", In Proceedings of IEEE ICNP (shortpaper, (short papers + long papers) / submissions = 19.3%), 2019

  18. Sandesh Dhawaskar Sathyanarayana, Jihoon Lee, Jinsung Lee, Youngbin Im, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, and Sangtae Ha, "CASTLE over the Air–Distributed Scheduling for Cellular Data Transmissions", In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), 2019

  19. Xiaoxi Zhang, Chuan Wu, Zhiyi Huang, and Zongpeng Li, "Occupation-Oblivious Pricing of Cloud Jobs via Online Learning", In Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2018 (acceptance rate: 19.2%)

  20. Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Proactive VNF Provisioning with Multi-timescale Cloud Resources: Fusing Online Learning and Online Optimization", In Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2017 (acceptance rate: 20.9%)

  21. Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Online Auctions in IaaS Clouds: Welfare and Profit Maximization with Server Costs", In Proceedings of ACM SIGMETRICS, 2015 (acceptance rate: 13.4%)

  22. Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "A Truthful (1 - ε)-Optimal Mechanism for On-demand Cloud Resource Provisioning", In Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2015 (acceptance rate: 19.3%)

  23. Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Online Cost Minimization for Operating Geo-distributed Cloud CDNs", In Proceedings of International Symposium on Quality of Service (IWQoS), 2015

  24. Ting Wen, Xiaoxi Zhang, Xin Huang, and Jiaqing Huang, "Cost Advantage of Network Coding in Space for Irregular (5+1) Model", In Proceedings of International Conference on Dependable, Autonomic, and Secure Computing, 2013

  25. Zijun Zhang, Zhenkun Jin, and Xiaoxi Zhang, "Min-cost wireless multihop networks in Euclidean space", In Proceedings of International Symposium on Network Coding (NetCod), 2013

  26. Jiaqing Huang, Xurui Yin, Xiaoxi Zhang, Xu Du, and Zongpeng Li, "On Space Information Flow: Single Multicast", In Proceedings of International Symposium on Network Coding (NetCod), 2013

  27. Xiaoxi Zhang and Jiaqing Huang, "Superiority of Network Coding in Space for Irregular Polygons", In Proceedings of International Conference on Communication Technology, 2012

Journal

  1. Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chao Yu, Chuan Wu, and Xu Chen, "An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning", to appear in IEEE Transactions on Parrallel and Distributed Systems (TPDS)

  2. Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, and Xu Chen, "DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset", to appear in IEEE Transactions on Mobile Computing (TMC), early access

  3. Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, and Xu Chen, "Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm", to apprear in IEEE Transactions on Parrallel and Distributed Systems (TPDS)

  4. Xiaoxi Zhang, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, and Carlee Joe-Wong, "Learning with Side Information: Elastic Multi-resource Control for the Open RAN", to appear in IEEE Journal on Selected Areas in Communications (JSAC)

  5. Zhiying Feng, Xu Chen, Qiong Wu, Wen Wu, Xiaoxi Zhang, and Qianyi Huang "FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout", to appear in IEEE Transactions on Mobile Computing (TMC)

  6. Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, and Xu Chen, "A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones", to appear in IEEE/ACM Transactions on Networking (ToN)

  7. Huirong Ma, Rui Li, Xiaoxi Zhang, Zhi Zhou, and Xu Chen, "Reliability-Aware Online Scheduling for DNN Inference Tasks in Mobile-Edge Computing", IEEE Internet of Things Journal, 10(13): 11453-11464, 2023

  8. Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, and Carlee Joe-Wong, "MoDEMS: Optimizing Edge Computing Migrations for User Mobility", IEEE Journals on Selected Areas in Communications, 41(3): 675-689, 2023

  9. Xiaoxi Zhang, Siqi Chen, Yunfan Zhang, Youngbin Im, Maria Gorlatova, Sangtae Ha, and Carlee Joe-Wong, "Optimal Network Protocol Selection for Competing Flows via Online Learning", IEEE Transactions on Mobile Computing (TMC), 22(8):4822-4836, 2022

  10. Rui Li, Zhi Zhou, Xiaoxi Zhang, and Xu Chen, "Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management", IEEE Transactions on Parrallel and Distributed Systems, 33(12): 4581-4596, 2022

  11. Kongyange Zhao, Zhi Zhou, Xu Chen, Ruiting Zhou, Xiaoxi Zhang, Shuai Yu, and Di Wu, "EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale", to appear in IEEE Transactions on Mobile Computing (TMC)

  12. Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, and Carlee Joe-Wong, "Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs", IEEE/ACM Transactions on Networking (ToN), 30(1): 215–228, 2022

  13. Lei Tan, Xiaoxi Zhang, Yipeng Zhou, Xinkai Che, Miao Hu, Xu Chen, Di Wu "AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights", IEEE Transactions on Network Science and Engineering (TNSE), 9(4): 2708-2720, 2022

  14. Harry Jiang, Xiaoxi Zhang, and Carlee Joe-Wong, "DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances", ACM SIGMETRICS Performance Evaluation Review, 50(2): 21-23, 2022

  15. Huirong Ma, Peng Huang, Zhi Zhou, Xiaoxi Zhang, and Xu Chen, "GreeEdge: Joint Green Energy Scheduling and Dynamic Task Offloading in Multi-Tier Edge Computing Systems", IEEE Transactions on Vehicular Technology, 71(4), 4322-4355, 2022

  16. Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Dynamic VM Scaling: Provisioning and Pricing through an Online Auction", IEEE Transactions on Cloud Computing (TCC), 9(1): 131–144, Jan.-Mar. 1, 2021

  17. Xiaoxi Zhang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "A Truthful (1−ϵ)(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning", IEEE Transactions on Cloud Computing, 8(3), 2020

  18. Jinhang Zuo, Xiaoxi Zhang, and Carlee Joe-Wong, "Observe Before Play: Multi-armed Bandit with Pre-observations", ACM SIGMETRICS Performance Review 46(2), 80-90, 2019

  19. Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Online Auctions in IaaS Clouds: Welfare and Profit Maximization with Server Costs", IEEE/ACM Transactions on Networking (ToN), 25(2):1034-1047, 2017

  20. Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, and Francis C.M. Lau, "Online Stochastic Buy-Sell Mechanism for VNF chains in the NFV market", IEEE Journal on Selected Areas in Communications (JSAC) Special Issue on Game Theory for Networks 35(2): 392-406, 2017