Cost Advantage of Network Coding in Space for Irregular (5 + 1) Model. - Ting Wen; Xiaoxi Zhang 001; Xin Huang; Jiaqing Huang (DASC, 2013)

On Space Information Flow: Single multicast. - Jiaqing Huang; Xunrui Yin; Xiaoxi Zhang 001; Xu Du; Zongpeng Li (NetCod, 2013)

Min-cost wireless multihop networks in Euclidean space. - Zijun Zhang; Zhenkun Jin; Xiaoxi Zhang 001 (NetCod, 2013)

A truthful (1-ε)-optimal mechanism for on-demand cloud resource provisioning. - Xiaoxi Zhang 001; Chuan Wu 001; Zongpeng Li; Francis C. M. Lau 001 (INFOCOM, 2015)

Online cost minimization for operating geo-distributed cloud CDNs. - Xiaoxi Zhang 001; Chuan Wu 001; Zongpeng Li; Francis C. M. Lau 001 (IWQoS, 2015)

Proactive VNF provisioning with multi-timescale cloud resources: Fusing online learning and online optimization. - Xiaoxi Zhang 001; Chuan Wu 001; Zongpeng Li; Francis C. M. Lau 001 (INFOCOM, 2017)

Online Stochastic Buy-Sell Mechanism for VNF Chains in the NFV Market. - Xiaoxi Zhang 001; Zhiyi Huang 002; Chuan Wu 001; Zongpeng Li; Francis C. M. Lau 001 (IEEE J. Sel. Areas Commun., 2017)

Online Auctions in IaaS Clouds: Welfare and Profit Maximization With Server Costs. - Xiaoxi Zhang 001; Zhiyi Huang 002; Chuan Wu 001; Zongpeng Li; Francis C. M. Lau 001 (IEEE/ACM Trans. Netw., 2017)

Dynamic cloud resource provisioning and pricing. - Xiaoxi Zhang 001 (2017)

Occupation-Oblivious Pricing of Cloud Jobs via Online Learning. - Xiaoxi Zhang 001; Chuan Wu 001; Zhiyi Huang 002; Zongpeng Li (INFOCOM, 2018)

Observe Before Play: Multi-armed Bandit with Pre-Observations. - Jinhang Zuo; Xiaoxi Zhang 001; Carlee Joe-Wong (SIGMETRICS Perform. Evaluation Rev., 2018)

Towards Automated Network Management: Learning the Optimal Protocol Selection. - Xiaoxi Zhang 001; Siqi Chen; Youngbin Im; Maria Gorlatova; Sangtae Ha; Carlee Joe-Wong (ICNP, 2019)

CASTLE over the Air: Distributed Scheduling for Cellular Data Transmissions. - Jihoon Lee; Jinsung Lee; Youngbin Im; Sandesh Dhawaskar Sathyanarayana; Parisa Rahimzadeh; Xiaoxi Zhang 001; Max Hollingsworth; Carlee Joe-Wong; Dirk Grunwald; Sangtae Ha (MobiSys, 2019)

A generative simulation platform for multi-agent systems with incentives. - Zhengwei Wu; Xiaoxi Zhang 001; Susu Xu; Xinlei Chen; Pei Zhang 001; Hae Young Noh; Carlee Joe-Wong (UbiComp/ISWC Adjunct, 2020)

Machine Learning on Volatile Instances. - Xiaoxi Zhang 001; Jianyu Wang; Gauri Joshi; Carlee Joe-Wong (INFOCOM, 2020)

Towards Flexible Device Participation in Federated Learning for Non-IID Data. - Yichen Ruan; Xiaoxi Zhang 001; Shu-Che Liang; Carlee Joe-Wong (CoRR, 2020)

A Truthful $(1- epsilon)$(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning. - Xiaoxi Zhang 001; Chuan Wu 001; Zongpeng Li; Francis C. M. Lau 001 (IEEE Trans. Cloud Comput., 2020)

Towards Flexible Device Participation in Federated Learning. - Yichen Ruan; Xiaoxi Zhang 001; Shu-Che Liang; Carlee Joe-Wong (AISTATS, 2021)

MoDEMS: Optimizing Edge Computing Migrations For User Mobility. - Taejin Kim; Siqi Chen; Youngbin Im; Xiaoxi Zhang 001; Sangtae Ha; Carlee Joe-Wong (IWQoS, 2021)

How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. - Yichen Ruan; Xiaoxi Zhang 001; Carlee Joe-Wong (WiOpt, 2021)

Dynamic VM Scaling: Provisioning and Pricing through an Online Auction. - Xiaoxi Zhang 001; Zhiyi Huang 002; Chuan Wu 001; Zongpeng Li; Francis C. M. Lau 001 (IEEE Trans. Cloud Comput., 2021)

AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones. - Haowei Chen; Liekang Zeng; Xiaoxi Zhang 001; Xu Chen 004 (ICDCS, 2022)

Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing. - Liekang Zeng; Peng Huang; Ke Luo; Xiaoxi Zhang 001; Zhi Zhou 006; Xu Chen 004 (WWW, 2022)

AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights. - Lei Tan; Xiaoxi Zhang 001; Yipeng Zhou; Xinkai Che; Miao Hu 001; Xu Chen 004; Di Wu 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs. - Xiaoxi Zhang 001; Jianyu Wang; Li-Feng Lee; Tom Yang; Akansha Kalra; Gauri Joshi; Carlee Joe-Wong (IEEE/ACM Trans. Netw., 2022)

Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management. - Rui Li 062; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (IEEE Trans. Parallel Distributed Syst., 2022)

GreenEdge: Joint Green Energy Scheduling and Dynamic Task Offloading in Multi-Tier Edge Computing Systems. - Huirong Ma; Peng Huang; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (IEEE Trans. Veh. Technol., 2022)

DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. - Harry H. Jiang; Xiaoxi Zhang 001; Carlee Joe-Wong (SIGMETRICS Perform. Evaluation Rev., 2022)

An Online Control Approach of Collaborative Federated Learning with Constrained Resources. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Xu Chen 004 (APNet, 2023)

Emulating High-performance Networks with CNNet. - Yang Peng; Yupeng Xiao; Jingpu Duan; Xiaoxi Zhang 001; Weichao Li 001 (ICDCS Workshops, 2023)

Fair DNN Model Selection in Edge AI via A Cooperative Game Approach. - Jiajie Xie; Zhi Zhou 006; Tao Ouyang; Xiaoxi Zhang 001; Xu Chen 004 (ICDCS, 2023)

Computation-Effective Personalized Federated Learning: A Meta Learning Approach. - Ziwei Zhan; Xiaoxi Zhang 001 (ICDCS, 2023)

TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning. - Yihong Li; Tianyu Zeng; Xiaoxi Zhang 001; Jingpu Duan; Chuan Wu 001 (INFOCOM, 2023)

Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (INFOCOM Workshops, 2023)

Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location. - Tao Ouyang; Kongyange Zhao; Xiaoxi Zhang 001; Zhi Zhou 006; Xu Chen 004 (INFOCOM, 2023)

AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2023)

A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning. - Tianxiang Zhu; Xiaoxi Zhang 001; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2023)

RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge. - Tianyu Zeng; Xiaoxi Zhang 001; Daipeng Feng; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (MSN, 2023)

EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Xu Chen 004 (SECON, 2023)

Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets. - Huirong Ma; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (CoRR, 2023)

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (CoRR, 2023)

MoDEMS: Optimizing Edge Computing Migrations for User Mobility. - Taejin Kim; Sandesh Dhawaskar Sathyanarayana; Siqi Chen; Youngbin Im; Xiaoxi Zhang 001; Sangtae Ha; Carlee Joe-Wong (IEEE J. Sel. Areas Commun., 2023)

HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association. - Qiong Wu 009; Xu Chen 004; Tao Ouyang; Zhi Zhou 006; Xiaoxi Zhang 001; Shusen Yang; Junshan Zhang (IEEE Trans. Parallel Distributed Syst., 2023)

Reliability-Aware Online Scheduling for DNN Inference Tasks in Mobile-Edge Computing. - Huirong Ma; Rui Li 062; Xiaoxi Zhang 001; Zhi Zhou 006; Xu Chen 004 (IEEE Internet Things J., 2023)

Optimal Network Protocol Selection for Competing Flows via Online Learning. - Xiaoxi Zhang 001; Siqi Chen; Yunfan Zhang; Youngbin Im; Maria Gorlatova; Sangtae Ha; Carlee Joe-Wong (IEEE Trans. Mob. Comput., 2023)

Toward Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets. - Huirong Ma; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (IEEE Internet Things J., 2023)

EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale. - Kongyange Zhao; Zhi Zhou 006; Xu Chen 004; Ruiting Zhou; Xiaoxi Zhang 001; Shuai Yu 001; Di Wu 001 (IEEE Trans. Mob. Comput., 2023)

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm. - Yihong Li; Xiaoxi Zhang 001; Tianyu Zeng; Jingpu Duan; Chuan Wu 001; Di Wu 001; Xu Chen 004 (IEEE Trans. Parallel Distributed Syst., 2023)

RACCOON: Online Content Recommendation and Edge-Assisted Caching for In-Vehicle Infotainment. - Yufei You; Xiaoxi Zhang 001; Tianxiang Zhu; Bo Rao; Yihong Li; Jingpu Duan; Lei Xue; Ennan Zhai; Xu Chen 004 (BigCom, 2024)

FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients. - Han Liang; Ziwei Zhan; Weijie Liu; Xiaoxi Zhang 001; Chee Wei Tan 001; Xu Chen 004 (ECAI, 2024)

Bridging the Data Gap in Federated Preference Learning with AIGC. - Chenyu Wang 004; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (ICDCS, 2024)

Robust Decentralized Online Optimization Against Malicious Agents. - Dacheng Wen; Yupeng Li 001; Xiaoxi Zhang 001; Francis C. M. Lau 001 (ICDCS, 2024)

Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference. - Songjun Huang; Yihong Li; Liangkun Chen; Xiaoxi Zhang 001; Shuo Liu 002; Jingpu Duan; Wenfei Wu; Xu Chen 004 (ICPP Workshops, 2024)

Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits. - Taejin Kim; Jinhang Zuo; Xiaoxi Zhang 001; Carlee Joe-Wong (INFOCOM, 2024)

Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing. - Yuanming Wang; Kongyange Zhao; Xiaoxi Zhang 001; Xu Chen 004 (INFOCOM (Workshops), 2024)

Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming. - Xiaoxi Zhang 001; Haoran Xu; Longhao Zou; Jingpu Duan; Chuan Wu 001; Yali Xue; Zuozhou Chen; Xu Chen 004 (INFOCOM, 2024)

Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift. - Sisi Chen; Weijie Liu; Xiaoxi Zhang 001; Hong Xu 001; Wanyu Lin; Xu Chen 004 (IWQoS, 2024)

Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles. - Bo Rao; Xiaoxi Zhang 001; Tianxiang Zhu; Yufei You; Yihong Li; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2024)

FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-Grained Aggregation. - Ziwei Zhan; Wenkuan Zhao; Yuanqing Li; Weijie Liu; Xiaoxi Zhang 001; Chee Wei Tan 001; Chuan Wu 001; Deke Guo; Xu Chen 004 (MSN, 2024)

MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks. - Haoran Xu; Xiaoxi Zhang 001; Jingpu Duan; Chuan Wu 001; Jinhang Zuo; Xuan Zeng; Chen Chen; Yubing Qiu; Xu Chen 004 (NAS, 2024)

rpkt: A Generic, Safe, and Efficient Userspace Packet Processing Library in Rust. - Yupeng Xiao; Yaxuan Chen; Xin Zhao; Jingpu Duan; Xiaoxi Zhang 001; Weichao Li 001; Xiaofeng Tao (NPC (2), 2024)

POSTER: In-network Model Inference for Distributed Systems via Programmable Switches. - Jianqiang Zhong; Yihong Li; Shuo Liu 002; Jingpu Duan; Xiaoxi Zhang 001; Xu Chen 004 (SIGCOMM (Posters and Demos), 2024)

Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence. - Liekang Zeng; Shengyuan Ye; Xu Chen 004; Xiaoxi Zhang 001; Ju Ren 001; Jian Tang; Yang Yang 001; Xuemin Shen (CoRR, 2024)

Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. - Xiaoxi Zhang 001; Jinhang Zuo; Zhe Huang 001; Zhi Zhou 006; Xu Chen 004; Carlee Joe-Wong (IEEE J. Sel. Areas Commun., 2024)

A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones. - Liekang Zeng; Haowei Chen; Daipeng Feng; Xiaoxi Zhang 001; Xu Chen 004 (IEEE/ACM Trans. Netw., 2024)

Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services. - Liekang Zeng; Xu Chen 004; Peng Huang; Ke Luo; Xiaoxi Zhang 001; Zhi Zhou 006 (IEEE/ACM Trans. Netw., 2024)

FedDD: Toward Communication-Efficient Federated Learning With Differential Parameter Dropout. - Zhiying Feng; Xu Chen 004; Qiong Wu 009; Wen Wu 003; Xiaoxi Zhang 001; Qianyi Huang (IEEE Trans. Mob. Comput., 2024)

An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning. - Tianyu Zeng; Xiaoxi Zhang 001; Jingpu Duan; Chao Yu 004; Chuan Wu 001; Xu Chen 004 (IEEE Trans. Parallel Distributed Syst., 2024)

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning. - Yichen Ruan; Xiaoxi Zhang 001; Carlee Joe-Wong (IEEE/ACM Trans. Netw., 2024)

Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Dongxiao Yu; Yu Wu 010; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN. - Xuan Zeng; Haoran Xu; Chen Chen; Xumiao Zhang; Xiaoxi Zhang 001; Xu Chen 004; Guihai Chen; Yubing Qiu; Yiping Zhang; Chong Hao; Ennan Zhai (NSDI, 2025)

Resource allocation and pricing for SFC deployment in Space-Air-Ground-Integrated Networks: An innovative auction-based strategy. - Yali Lv; Xiaoxi Zhang 001; Yingsheng Peng; Jingpu Duan; Xiong Li; Bo Yi; Qing Li 006 (Comput. Networks, 2025)

Accelerating personalized federated learning via dynamic gradient substitution and client selection. - Ziwei Zhan; Weijie Liu; Xiaoxi Zhang 001; Chee Wei Tan 001; Lei Xue; Haisheng Tan; Xu Chen 004 (Comput. Networks, 2025)

Online Resource Provisioning and Batch Scheduling for AIoT Inference Serving in an XPU Edge Cloud. - Rongkai Liu; Yuting Wu; Kongyange Zhao; Zhi Zhou 006; Xiang Gao; Xiancheng Lin; Xiaoxi Zhang 001; Xu Chen 004; Gang Lu (IEEE Trans. Emerg. Top. Comput., 2025)

Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm. - Ke Luo; Kongyange Zhao; Tao Ouyang; Xiaoxi Zhang 001; Zhi Zhou 006; Hao Wang; Xu Chen 004 (IEEE Trans. Mob. Comput., 2025)

Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning. - Bokeng Zheng; Bo Rao; Tianxiang Zhu; Chee Wei Tan 001; Jingpu Duan; Zhi Zhou 006; Xu Chen 004; Xiaoxi Zhang 001 (CoRR, 2025)

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction. - Weijie Liu; Ziwei Zhan; Carlee Joe-Wong; Edith Ngai; Jingpu Duan; Deke Guo; Xu Chen 004; Xiaoxi Zhang 001 (CoRR, 2025)

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement. - Tian Wu; Liming Wang; Zijian Wen; Xiaoxi Zhang 001; Jingpu Duan; Xianwei Zhang; Jinhang Zuo (CoRR, 2025)