Performance of Lossy Compression Algorithms from Statistical and Perceptual metrics. - Shuyu Yang; Xiaoxi Zhang; Sunanda Mitra (CBMS, 1999)

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

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

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

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

Online cost minimization for operating geo-distributed cloud CDNs. - Xiaoxi Zhang; 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; Chuan Wu 001; Zongpeng Li; Francis C. M. Lau 001 (INFOCOM, 2017)

A Path Planning Algorithm Based on Fluid Simulation. - Wei You; Yong Yin; Xiaobin Qian; Xiaoxi Zhang (ISCID (1), 2017)

Online Stochastic Buy-Sell Mechanism for VNF Chains in the NFV Market. - Xiaoxi Zhang; 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; 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 (2017)

Design of Training Platform for Manned Submersible Vehicle Based on Virtual Reality Technology. - Xiaoxi Zhang; Yong Yin (CASA, 2018)

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

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

Towards Automated Network Management: Learning the Optimal Protocol Selection. - Xiaoxi Zhang; 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; Max Hollingsworth; Carlee Joe-Wong; Dirk Grunwald; Sangtae Ha (MobiSys, 2019)

Real-Time Simulation of Deep-Sea Hydrothermal Fluid. - Feifei Wan; Yong Yin; Xiaoxi Zhang (VR, 2019)

Underwater Manipulation Training Simulation System for Manned DeepSubmarine Vehicle. - Xiaoxi Zhang; Yong Yin; Feifei Wan (VR, 2019)

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

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

Personalized tourism route recommendation based on user's active interests*. - Zhizhou Duan; Yuan Gao; Jun Feng 003; Xiaoxi Zhang; Jie Wang (MDM, 2020)

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

PGG.Han: the Han Chinese genome database and analysis platform. - Yang Gao; Chao Zhang; Liyun Yuan; Yunchao Ling; Xiaoji Wang; Chang Liu; Yuwen Pan; Xiaoxi Zhang; Xixian Ma; Yuchen Wang; Yan Lu; Kai Yuan; et al. (Nucleic Acids Res., 2020)

A Truthful $(1- epsilon)$(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning. - Xiaoxi Zhang; 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; Shu-Che Liang; Carlee Joe-Wong (AISTATS, 2021)

Mapping World Scientific Collaboration on the Research of COVID-19: Authors, Journals, Institutions, and Countries. - Rongying Zhao; Zhuozhu Liu; Xiaoxi Zhang; Junling Wang; Zhaoyang Zhang (HICSS, 2021)

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

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

Research on Intelligent Target Recognition Integrated With Knowledge. - Feng Zhang; Huibing Fan; Keju Wang; Yongjin Zhao; Xiaoxi Zhang; Yang Ma (IEEE Access, 2021)

Performance Improvement of Spaceborne Carbon Dioxide Detection IPDA LIDAR Using Linearty Optimized Amplifier of Photo-Detector. - Yadan Zhu; Juxin Yang; Xiaoxi Zhang; Jiqiao Liu; Xiaopeng Zhu; Huaguo Zang; Tengteng Xia; Chuncan Fan; Xiao Chen; Yanguang Sun; Xia Hou; Weibiao Chen (Remote. Sens., 2021)

Dynamic VM Scaling: Provisioning and Pricing through an Online Auction. - Xiaoxi Zhang; 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; Xu Chen 004 (ICDCS, 2022)

Dynamic Community Detection Algorithm based on Allocating and Splitting. - Wanchang Jiang; Xiaoxi Zhang (ICTAI, 2022)

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

GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification. - Xiaoxi Zhang; Yuan Gao; Xin Wang 004; Jun Feng 003; Yan Shi (ISPRS Int. J. Geo Inf., 2022)

Community Detection using Closeness Similarity based on Common Neighbor Node Clustering Entropy. - Wanchang Jiang; Xiaoxi Zhang; Weihua Zhu (KSII Trans. Internet Inf. Syst., 2022)

Traffic volume prediction for scenic spots based on multi-source and heterogeneous data. - Yuan Gao; Yao-Yi Chiang; Xiaoxi Zhang; Min Zhang (Trans. GIS, 2022)

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

Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs. - Xiaoxi Zhang; 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; 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; Xu Chen 004 (IEEE Trans. Veh. Technol., 2022)

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

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

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

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

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

TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning. - Yihong Li; Tianyu Zeng; Xiaoxi Zhang; 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; 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; 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; 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; 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; 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; Yupeng Li; 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; 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; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (CoRR, 2023)

Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications. - Hao He; Hongrui Duo; Youjin Hao; Xiaoxi Zhang; Xinyi Zhou 014; Yujie Zeng; Yinghong Li 002; Bo Li 097 (Comput. Biol. Medicine, 2023)

MoDEMS: Optimizing Edge Computing Migrations for User Mobility. - Taejin Kim; Sandesh Dhawaskar Sathyanarayana; Siqi Chen; Youngbin Im; Xiaoxi Zhang; 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; 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; Zhi Zhou 006; Xu Chen 004 (IEEE Internet Things J., 2023)

Optimal Network Protocol Selection for Competing Flows via Online Learning. - Xiaoxi Zhang; 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; Xu Chen 004 (IEEE Internet Things J., 2023)

Deep-learning-based inverse structural design of a battery-pack system. - Xiaoxi Zhang; Yue Xiong; Yongjun Pan; Dongxin Xu; Ibna Kawsar; Binghe Liu; Liang Hou (Reliab. Eng. Syst. Saf., 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; 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; Tianyu Zeng; Jingpu Duan; Chuan Wu 001; Di Wu 001; Xu Chen 004 (IEEE Trans. Parallel Distributed Syst., 2023)

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

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

Robust Decentralized Online Optimization Against Malicious Agents. - Dacheng Wen; Yupeng Li; Xiaoxi Zhang; 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; 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; 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; Xu Chen 004 (INFOCOM (Workshops), 2024)

Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming. - Xiaoxi Zhang; 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; Hong Xu; Wanyu Lin; Xu Chen 004 (IWQoS, 2024)

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

POSTER: In-network Model Inference for Distributed Systems via Programmable Switches. - Jianqiang Zhong; Yihong Li; Shuo Liu 002; Jingpu Duan; Xiaoxi Zhang; 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; Ju Ren 001; Jian Tang; Yang Yang 001; Xuemin Shen (CoRR, 2024)

Forward and reverse design of adhesive in batteries via dynamics and machine learning algorithms for enhanced mechanical safety. - Xiaoxi Zhang; Yongjun Pan; Junxiao Zhou; Zhixiong Li 001; Tianjun Liao; Jie Li (Reliab. Eng. Syst. Saf., 2024)

Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. - Xiaoxi Zhang; 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; 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; 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; Qianyi Huang (IEEE Trans. Mob. Comput., 2024)

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

Full-Duplex-Enhanced Wireless-Powered Backscatter Communication Networks: Radio Resource Allocation and Beamforming Joint Optimization. - Xiaoxi Zhang; Yongjun Xu; Haibo Zhang 011; Gongpu Wang; Xingwang Li 001; Chau Yuen (IEEE Trans. Green Commun. Netw., 2024)

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

Peer-to-Peer Ultra-Wideband Localization for Hands-Free Control of a Human-Guided Smart Stroller. - Xiaoxi Zhang; Yang Chen 026; Modar Hassan; Kenji Suzuki 002 (Sensors, 2024)

Using Multi-Level Consistency Learning for Partial-to-Partial Point Cloud Registration. - Boyuan Tan; Hongxing Qin; Xiaoxi Zhang; Yiqun Wang 001; Tao Xiang 001; Baoquan Chen (IEEE Trans. Vis. Comput. Graph., 2024)

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