Yali Lyu, Yaping Sun, Xiaoxi Zhang, Jingpu Duan, Xiong Li, Xu Chen, "Cost-Driven Auction Mechanism for SFC Allocation in Space-Air-Ground Integrated Network", In Proceedings of IEEE HPCC, 2024
Ziwei Zhan, Wenkuan Zhao, Yuanqing Li, Weijie Liu, Xiaoxi Zhang#, Chee Wei Tan, Chuan Wu, Deke Guo, and Xu Chen, "FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation", In Proceedings of IEEE MSN, 2024
Yupeng Xiao, Yaxuan Chen, Xin Zhao, Jingpu Duan#, Xiaoxi Zhang#, Weichao Li, and Xiaofeng Tao, "rpkt: A Generic, Safe and Efficient Userspace Packet Processing Library in Rust", In Proceedings of IFIP NPC, 2024
Haoran Xu, Xiaoxi Zhang#, Jingpu Duan#, Chuan Wu, Jinhang Zuo, Xuan Zeng, Chen Chen, Yubing Qiu, and Xu Chen, "Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks", In Proceedings of IEEE NAS, 2024
Yufei You, Xiaoxi Zhang#, Tianxiang Zhu, Bo Rao, Yihong Li, Jingpu Duan, Lei Xue, Ennan Zhai, and Xu Chen, "RACCOON: Online Content Recommendation and Edge-assisted Caching for In-Vehicle Infotainment", In Proceedings of IEEE Bigcom, 2024 (Best Paper Award)
Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang#, Chee Wei Tan, and Xu Chen, "FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients", In Proceedings of ECAI, 2024
Bo Rao, Xiaoxi Zhang#, Tianxiang Zhu, Yufei You, Yihong Li, Jingpu Duan, Zhi Zhou, and Xu Chen, "Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles", In Proceedings of IEEE/ACM IWQoS, 2024
Sisi Chen, Weijie Liu, Xiaoxi Zhang#, Hong Xu, Wanyu Lin, and Xu Chen, "Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift", In Proceedings of IEEE/ACM IWQoS, 2024
Dacheng Wen, Yupeng Li, Xiaoxi Zhang, and Francis C.M. Lau, "Robust Decentralized Online Optimization Against Malicious Agents", In Proceedings of IEEE ICDCS, 2024
Chenyu Wang, Zhi Zhou, Xiaoxi Zhang, and Xu Chen, "Bridging the Data Gap in Federated Preference Learning with AIGC", In Proceedings of IEEE ICDCS, 2024
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
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
Yuanming Wang, Kongyange Zhao, Xiaoxi Zhang, and Xu Chen, "Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing", In Proceedings of IEEE INFOCOM WKSHPS: ICCN 2024.
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
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
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
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)
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
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
Tao Ouyang, Kongyange Zhao, Xiaoxi Zhang, Zhi Zhou, and Xu Chen, "Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location", In Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2023
Jiajie Xie, Zhi Zhou, Tao Ouyang, Xiaoxi Zhang, and Xu Chen, "Fair DNN Model Selection in Edge AI via A Cooperative Game Approach", IEEE ICDCS 2023
Ziwei Zhan and Xiaoxi Zhang, "Computation-Effective Personalized Federated Learning: A Meta Learning Approach", IEEE ICDCS-poster, 2023
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
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
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
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
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
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%)
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%)
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
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
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
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%)
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%)
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%)
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%)
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
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
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
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
Xiaoxi Zhang and Jiaqing Huang, "Superiority of Network Coding in Space for Irregular Polygons", In Proceedings of International Conference on Communication Technology, 2012
Ke Luo, Kongyange Zhao, Tao Ouyang, Xiaoxi Zhang, Zhi Zhou, Hao Wang and Xu Chen, "Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm", to apear in TMC 2024
Shaohui Lin, Xiaoxi Zhang#, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Dongxiao Yu, Yu Wu, and Xu Chen, "Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-timescale Approach", to appear in TMC 2024
Yichen Ruan, Xiaoxi Zhang#, and Carlee Joe-Wong, "How Valuable Is Your Data? Optimizing Client Recruitment in Federated Learning", to appear in IEEE/ACM Transactions on Networking (ToN), 2024
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", IEEE Transactions on Mobile Computing (TMC), 23(7), 7664 - 7679, July 2024
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", IEEE Transactions on Parrallel and Distributed Systems (TPDS), 35(5), 720 - 731, May 2024
Zhiying Feng, Xu Chen, Qiong Wu, Wen Wu, Xiaoxi Zhang, and Qianyi Huang "FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout", IEEE Transactions on Mobile Computing (TMC), 23(5), 5366 - 5348, May 2024
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", IEEE Journal on Selected Areas in Communications (JSAC), 42(2), 295 - 309, February 2024
Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, and Zhi Zhou, "Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services", IEEE/ACM Transactions on Networking (ToN), 32(1), 550-565, February 2024
Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, and Xu Chen, "A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones", IEEE/ACM Transactions on Networking (ToN), 32(1), 713 - 728, February 2024
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), 34(12): 3073 - 3089, 2023
Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang, "HiFlash: Communication-efficient hierarchical federated learning with adaptive staleness control and heterogeneity-aware client-edge association", IEEE Transactions on Parallel and Distributed Systems 34 (5), 1560-1579, 2023
Huirong Ma, Zhi Zhou, Xiaoxi Zhang, and Xu Chen, "Toward Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets", IEEE Internet of Things Journal (IoTJ), 10(18), 16637-16649, September 2023
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
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
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
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
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)
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
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
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
Huirong Ma, Peng Huang, Zhi Zhou, Xiaoxi Zhang, and Xu Chen, "GreenEdge: Joint Green Energy Scheduling and Dynamic Task Offloading in Multi-Tier Edge Computing Systems", IEEE Transactions on Vehicular Technology, 71(4), 4322-4355, 2022
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
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
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
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
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