Xiaoxi Zhang

104 papers A* 12A 10B 11C 1Misc 1Journal 53Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning.
IEEE Trans. Mob. Comput.
Bokeng Zheng, Bo Rao, Tianxiang Zhu, Chee-Wei Tan, Jingpu Duan, Zhi Zhou, Xu Chen, Xiaoxi Zhang
2025 J jnl
Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement.
CoRR
Tian Wu, Liming Wang, Zijian Wen, Xiaoxi Zhang, Jingpu Duan, Xianwei Zhang, Jinhang Zuo
2025 J jnl
Accelerating personalized federated learning via dynamic gradient substitution and client selection.
Comput. Networks
Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Lei Xue, Haisheng Tan, Xu Chen
2025 J jnl
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning.
CoRR
Yu Jiang, Xindi Tong, Ziyao Liu, Xiaoxi Zhang, Kwok-Yan Lam, Chee-Wei Tan
2025 J jnl
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Yu Jiang, Xindi Tong, Ziyao Liu, Xiaoxi Zhang, Kwok-Yan Lam, Chee-Wei Tan
2025 J jnl
Dynamic Edge-Centric Resource Provisioning for Online and Offline Services Co-Location via Reactive and Predictive Approaches.
IEEE Trans. Netw.
Tao Ouyang, Kongyange Zhao, Guihang Hong, Xiaoxi Zhang, Zhi Zhou, Xu Chen
2025 J jnl
Edge Graph Intelligence: Reciprocally Empowering Edge Networks With Graph Intelligence.
IEEE Commun. Surv. Tutorials
Liekang Zeng, Shengyuan Ye, Xu Chen, Xiaoxi Zhang, Ju Ren, Jian Tang, Yang Yang, Xuemin Shen
2025 J jnl
Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm.
IEEE Trans. Mob. Comput.
Ke Luo, Kongyange Zhao, Tao Ouyang, Xiaoxi Zhang, Zhi Zhou, Hao Wang, Xu Chen
2025 — conf
INCAS'25 - Chairs Workshop Summary.
CoNEXT (Short Papers)
Wenfei Wu, Xiaoxi Zhang, Yiran Zhang, Qingkai Meng
2025 Misc conf
Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN.
NSDI
Xuan Zeng, Haoran Xu, Chen Chen, Xumiao Zhang, Xiaoxi Zhang, Xu Chen, Guihai Chen, Yubing Qiu, Yiping Zhang, Chong Hao, Ennan Zhai
2025 J jnl
Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning.
CoRR
Bokeng Zheng, Bo Rao, Tianxiang Zhu, Chee Wei Tan, Jingpu Duan, Zhi Zhou, Xu Chen, Xiaoxi Zhang
2025 J jnl
Online Resource Provisioning and Batch Scheduling for AIoT Inference Serving in an XPU Edge Cloud.
IEEE Trans. Emerg. Top. Comput.
Rongkai Liu, Yuting Wu, Kongyange Zhao, Zhi Zhou, Xiang Gao, Xiancheng Lin, Xiaoxi Zhang, Xu Chen, Gang Lu
2025 B conf
PASTA: Training Acceleration for Vertical Federated Learning via Adaptive Pipeline Parallelism.
IWQoS
Tian Wu, Weijie Liu, Han Liang, Ziwei Zhan, Jingpu Duan, Chuan Wu, Jinhang Zuo, Xu Chen, Xiaoxi Zhang
2025 J jnl
Resource allocation and pricing for SFC deployment in Space-Air-Ground-Integrated Networks: An innovative auction-based strategy.
Comput. Networks
Yali Lv, Xiaoxi Zhang, Yingsheng Peng, Jingpu Duan, Xiong Li, Bo Yi, Qing Li
2025 J jnl
SP-MoE: Speculative Decoding and Prefetching for Accelerating MoE-based Model Inference.
CoRR
Liangkun Chen, Zijian Wen, Tian Wu, Xiaoxi Zhang, Chuan Wu
2025 A conf
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction.
ICDCS
Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C. H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, Xiaoxi Zhang
2025 J jnl
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction.
CoRR
Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C. H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, Xiaoxi Zhang
2024 J jnl
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones.
IEEE/ACM Trans. Netw.
Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, Xu Chen
2024 B conf
Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift.
IWQoS
Sisi Chen, Weijie Liu, Xiaoxi Zhang, Hong Xu, Wanyu Lin, Xu Chen
2024 — conf
Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference.
ICPP Workshops
Songjun Huang, Yihong Li, Liangkun Chen, Xiaoxi Zhang, Shuo Liu, Jingpu Duan, Wenfei Wu, Xu Chen
2024 J jnl
An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst.
Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chao Yu, Chuan Wu, Xu Chen
2024 A conf
Bridging the Data Gap in Federated Preference Learning with AIGC.
ICDCS
Chenyu Wang, Zhi Zhou, Xiaoxi Zhang, Xu Chen
2024 B conf
Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles.
IWQoS
Bo Rao, Xiaoxi Zhang, Tianxiang Zhu, Yufei You, Yihong Li, Jingpu Duan, Zhi Zhou, Xu Chen
2024 J jnl
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets.
IEEE Trans. Mob. Comput.
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2024 J jnl
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence.
CoRR
Liekang Zeng, Shengyuan Ye, Xu Chen, Xiaoxi Zhang, Ju Ren, Jian Tang, Yang Yang, Xuemin Shen
2024 A* conf
Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits.
INFOCOM
Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2024 J jnl
FedDD: Toward Communication-Efficient Federated Learning With Differential Parameter Dropout.
IEEE Trans. Mob. Comput.
Zhiying Feng, Xu Chen, Qiong Wu, Wen Wu, Xiaoxi Zhang, Qianyi Huang
2024 — conf
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-Grained Aggregation.
MSN
Ziwei Zhan, Wenkuan Zhao, Yuanqing Li, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Chuan Wu, Deke Guo, Xu Chen
2024 J jnl
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation.
CoRR
Ziwei Zhan, Wenkuan Zhao, Yuanqing Li, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Chuan Wu, Deke Guo, Xu Chen
2024 A conf
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients.
ECAI
Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen
2024 J jnl
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients.
CoRR
Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen
2024 J jnl
How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning.
IEEE/ACM Trans. Netw.
Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong
2024 J jnl
Learning With Side Information: Elastic Multi-Resource Control for the Open RAN.
IEEE J. Sel. Areas Commun.
Xiaoxi Zhang, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, Carlee Joe-Wong
2024 — conf
MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks.
NAS
Haoran Xu, Xiaoxi Zhang, Jingpu Duan, Chuan Wu, Jinhang Zuo, Xuan Zeng, Chen Chen, Yubing Qiu, Xu Chen
2024 J jnl
Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach.
IEEE Trans. Mob. Comput.
Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Dongxiao Yu, Yu Wu, Xu Chen
2024 — conf
POSTER: In-network Model Inference for Distributed Systems via Programmable Switches.
SIGCOMM (Posters and Demos)
Jianqiang Zhong, Yihong Li, Shuo Liu, Jingpu Duan, Xiaoxi Zhang, Xu Chen
2024 — conf
RACCOON: Online Content Recommendation and Edge-Assisted Caching for In-Vehicle Infotainment.
BigCom
Yufei You, Xiaoxi Zhang, Tianxiang Zhu, Bo Rao, Yihong Li, Jingpu Duan, Lei Xue, Ennan Zhai, Xu Chen
2024 A conf
Robust Decentralized Online Optimization Against Malicious Agents.
ICDCS
Dacheng Wen, Yupeng Li, Xiaoxi Zhang, Francis C. M. Lau
2024 A* conf
Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming.
INFOCOM
Xiaoxi Zhang, Haoran Xu, Longhao Zou, Jingpu Duan, Chuan Wu, Yali Xue, Zuozhou Chen, Xu Chen
2024 J jnl
Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services.
IEEE/ACM Trans. Netw.
Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou
2024 — conf
Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing.
INFOCOM (Workshops)
Yuanming Wang, Kongyange Zhao, Xiaoxi Zhang, Xu Chen
2024 J jnl
VFL-Cafe: Communication-Efficient Vertical Federated Learning via Dynamic Caching and Feature Selection.
Entropy
Jiahui Zhou, Han Liang, Tian Wu, Xiaoxi Zhang, Yu Jiang, Chee-Wei Tan
2024 — conf
rpkt: A Generic, Safe, and Efficient Userspace Packet Processing Library in Rust.
NPC (2)
Yupeng Xiao, Yaxuan Chen, Xin Zhao, Jingpu Duan, Xiaoxi Zhang, Weichao Li, Xiaofeng Tao
2023 B conf
A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning.
IWQoS
Tianxiang Zhu, Xiaoxi Zhang, Jingpu Duan, Zhi Zhou, Xu Chen
2023 J jnl
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones.
CoRR
Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, Xu Chen
2023 B conf
AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning.
IWQoS
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023 — conf
An Online Control Approach of Collaborative Federated Learning with Constrained Resources.
APNet
Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen
2023 A conf
Computation-Effective Personalized Federated Learning: A Meta Learning Approach.
ICDCS
Ziwei Zhan, Xiaoxi Zhang
2023 B conf
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances.
WiOpt
Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong
2023 J jnl
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset.
CoRR
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023 A* conf
Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location.
INFOCOM
Tao Ouyang, Kongyange Zhao, Xiaoxi Zhang, Zhi Zhou, Xu Chen
2023 J jnl
EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale.
IEEE Trans. Mob. Comput.
Kongyange Zhao, Zhi Zhou, Xu Chen, Ruiting Zhou, Xiaoxi Zhang, Shuai Yu, Di Wu
2023 B conf
EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning.
SECON
Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen
2023 — conf
Emulating High-performance Networks with CNNet.
ICDCS Workshops
Yang Peng, Yupeng Xiao, Jingpu Duan, Xiaoxi Zhang, Weichao Li
2023 A conf
Fair DNN Model Selection in Edge AI via A Cooperative Game Approach.
ICDCS
Jiajie Xie, Zhi Zhou, Tao Ouyang, Xiaoxi Zhang, Xu Chen
2023 J jnl
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout.
CoRR
Zhiying Feng, Xu Chen, Qiong Wu, Wen Wu, Xiaoxi Zhang, Qianyi Huang
2023 — conf
Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency.
INFOCOM Workshops
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023 J jnl
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association.
IEEE Trans. Parallel Distributed Syst.
Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang
2023 J jnl
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association.
CoRR
Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang
2023 J jnl
MoDEMS: Optimizing Edge Computing Migrations for User Mobility.
IEEE J. Sel. Areas Commun.
Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
2023 J jnl
Optimal Network Protocol Selection for Competing Flows via Online Learning.
IEEE Trans. Mob. Comput.
Xiaoxi Zhang, Siqi Chen, Yunfan Zhang, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong
2023 — conf
RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge.
MSN
Tianyu Zeng, Xiaoxi Zhang, Daipeng Feng, Jingpu Duan, Zhi Zhou, Xu Chen
2023 J jnl
Reliability-Aware Online Scheduling for DNN Inference Tasks in Mobile-Edge Computing.
IEEE Internet Things J.
Huirong Ma, Rui Li, Xiaoxi Zhang, Zhi Zhou, Xu Chen
2023 J jnl
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services.
CoRR
Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou
2023 A* conf
TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning.
INFOCOM
Yihong Li, Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chuan Wu
2023 J jnl
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm.
IEEE Trans. Parallel Distributed Syst.
Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, Xu Chen
2023 J jnl
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm.
CoRR
Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, Xu Chen
2023 J jnl
Toward Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets.
IEEE Internet Things J.
Huirong Ma, Zhi Zhou, Xiaoxi Zhang, Xu Chen
2023 J jnl
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets.
CoRR
Huirong Ma, Zhi Zhou, Xiaoxi Zhang, Xu Chen
2022 A conf
AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones.
ICDCS
Haowei Chen, Liekang Zeng, Xiaoxi Zhang, Xu Chen
2022 J jnl
AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights.
IEEE Trans. Netw. Sci. Eng.
Lei Tan, Xiaoxi Zhang, Yipeng Zhou, Xinkai Che, Miao Hu, Xu Chen, Di Wu
2022 J jnl
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances.
SIGMETRICS Perform. Evaluation Rev.
Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong
2022 A* conf
Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing.
WWW
Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen
2022 J jnl
GreenEdge: Joint Green Energy Scheduling and Dynamic Task Offloading in Multi-Tier Edge Computing Systems.
IEEE Trans. Veh. Technol.
Huirong Ma, Peng Huang, Zhi Zhou, Xiaoxi Zhang, Xu Chen
2022 J jnl
Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management.
IEEE Trans. Parallel Distributed Syst.
Rui Li, Zhi Zhou, Xiaoxi Zhang, Xu Chen
2022 J jnl
Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs.
IEEE/ACM Trans. Netw.
Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, Carlee Joe-Wong
2022 A* conf
MoDEMS: Optimizing Edge Computing Migrations for User Mobility.
INFOCOM
Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
2021 J jnl
Dynamic VM Scaling: Provisioning and Pricing through an Online Auction.
IEEE Trans. Cloud Comput.
Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2021 B conf
How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning.
WiOpt
Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong
2021 B conf
MoDEMS: Optimizing Edge Computing Migrations For User Mobility.
IWQoS
Taejin Kim, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
2021 A conf
Towards Flexible Device Participation in Federated Learning.
AISTATS
Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong
2020 J jnl
A Truthful $(1-\epsilon)$(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning.
IEEE Trans. Cloud Comput.
Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2020 — conf
A generative simulation platform for multi-agent systems with incentives.
UbiComp/ISWC Adjunct
Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Noh, Carlee Joe-Wong
2020 A* conf
Machine Learning on Volatile Instances.
INFOCOM
Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong
2020 J jnl
Machine Learning on Volatile Instances.
CoRR
Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong
2020 A* conf
Observe Before Play: Multi-Armed Bandit with Pre-Observations.
AAAI
Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2020 J jnl
Towards Flexible Device Participation in Federated Learning for Non-IID Data.
CoRR
Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong
2019 A conf
CASTLE over the Air - Distributed Scheduling for Cellular Data Transmissions.
MobiSys
Sandesh Dhawaskar Sathyanarayana, Jihoon Lee, Jinsung Lee, Youngbin Im, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha
2019 A conf
CASTLE over the Air: Distributed Scheduling for Cellular Data Transmissions.
MobiSys
Jihoon Lee, Jinsung Lee, Youngbin Im, Sandesh Dhawaskar Sathyanarayana, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha
2019 J jnl
Observe Before Play: Multi-armed Bandit with Pre-observations.
CoRR
Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2019 B conf
Towards Automated Network Management: Learning the Optimal Protocol Selection.
ICNP
Xiaoxi Zhang, Siqi Chen, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong
2018 J jnl
Observe Before Play: Multi-armed Bandit with Pre-Observations.
SIGMETRICS Perform. Evaluation Rev.
Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2018 A* conf
Occupation-Oblivious Pricing of Cloud Jobs via Online Learning.
INFOCOM
Xiaoxi Zhang, Chuan Wu, Zhiyi Huang, Zongpeng Li
2017 — —
Dynamic cloud resource provisioning and pricing.
Xiaoxi Zhang
2017 J jnl
Online Auctions in IaaS Clouds: Welfare and Profit Maximization With Server Costs.
IEEE/ACM Trans. Netw.
Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2017 J jnl
Online Stochastic Buy-Sell Mechanism for VNF Chains in the NFV Market.
IEEE J. Sel. Areas Commun.
Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2017 A* conf
Proactive VNF provisioning with multi-timescale cloud resources: Fusing online learning and online optimization.
INFOCOM
Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2016 J jnl
A Truthful $(1-ε)$-Optimal Mechanism for On-demand Cloud Resource Provisioning.
CoRR
Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2015 A* conf
A truthful (1-ε)-optimal mechanism for on-demand cloud resource provisioning.
INFOCOM
Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2015 A* conf
Online Auctions in IaaS Clouds: Welfare and Profit Maximization with Server Costs.
SIGMETRICS
Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2015 B conf
Online cost minimization for operating geo-distributed cloud CDNs.
IWQoS
Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
2013 C conf
Cost Advantage of Network Coding in Space for Irregular (5 + 1) Model.
DASC
Ting Wen, Xiaoxi Zhang, Xin Huang, Jiaqing Huang
2013 — conf
Min-cost wireless multihop networks in Euclidean space.
NetCod
Zijun Zhang, Zhenkun Jin, Xiaoxi Zhang
2013 — conf
On Space Information Flow: Single multicast.
NetCod
Jiaqing Huang, Xunrui Yin, Xiaoxi Zhang, Xu Du, Zongpeng Li