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2020 – today
- 2025
[j38]Ke Luo, Kongyange Zhao, Tao Ouyang, Xiaoxi Zhang, Zhi Zhou, Hao Wang, Xu Chen:
Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm. IEEE Trans. Mob. Comput. 24(1): 407-421 (2025)- 2024
- [j37]Xiaoxi Zhang
, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, Carlee Joe-Wong:
Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. IEEE J. Sel. Areas Commun. 42(2): 295-309 (2024) - [j36]Xiaoxi Zhang, Yongjun Pan, Junxiao Zhou, Zhixiong Li, Tianjun Liao, Jie Li:
Forward and reverse design of adhesive in batteries via dynamics and machine learning algorithms for enhanced mechanical safety. Reliab. Eng. Syst. Saf. 247: 110141 (2024) - [j35]Xiaoxi Zhang, Yang Chen, Modar Hassan, Kenji Suzuki:
Peer-to-Peer Ultra-Wideband Localization for Hands-Free Control of a Human-Guided Smart Stroller. Sensors 24(15): 4828 (2024) - [j34]Xiaoxi Zhang, Yongjun Xu, Haibo Zhang, Gongpu Wang, Xingwang Li, Chau Yuen:
Full-Duplex-Enhanced Wireless-Powered Backscatter Communication Networks: Radio Resource Allocation and Beamforming Joint Optimization. IEEE Trans. Green Commun. Netw. 8(2): 730-740 (2024) - [j33]Zhiying Feng, Xu Chen, Qiong Wu, Wen Wu, Xiaoxi Zhang, Qianyi Huang:
FedDD: Toward Communication-Efficient Federated Learning With Differential Parameter Dropout. IEEE Trans. Mob. Comput. 23(5): 5366-5384 (2024) - [j32]Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen:
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets. IEEE Trans. Mob. Comput. 23(7): 7664-7679 (2024) - [j31]Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Dongxiao Yu, Yu Wu, Xu Chen:
Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach. IEEE Trans. Mob. Comput. 23(12): 14561-14574 (2024) - [j30]Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou:
Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services. IEEE/ACM Trans. Netw. 32(1): 550-565 (2024) - [j29]Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, Xu Chen:
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones. IEEE/ACM Trans. Netw. 32(1): 713-728 (2024) - [j28]Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong:
How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning. IEEE/ACM Trans. Netw. 32(5): 4207-4221 (2024) - [j27]Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chao Yu, Chuan Wu, Xu Chen:
An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 35(5): 720-731 (2024) - [j26]Boyuan Tan, Hongxing Qin, Xiaoxi Zhang, Yiqun Wang, Tao Xiang, Baoquan Chen:
Using Multi-Level Consistency Learning for Partial-to-Partial Point Cloud Registration. IEEE Trans. Vis. Comput. Graph. 30(8): 4881-4894 (2024) - [c50]Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen:
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients. ECAI 2024: 2090-2097 - [c49]Chenyu Wang, Zhi Zhou, Xiaoxi Zhang, Xu Chen:
Bridging the Data Gap in Federated Preference Learning with AIGC. ICDCS 2024: 105-116 - [c48]Dacheng Wen, Yupeng Li, Xiaoxi Zhang, Francis C. M. Lau:
Robust Decentralized Online Optimization Against Malicious Agents. ICDCS 2024: 117-127 - [c47]Songjun Huang, Yihong Li, Liangkun Chen, Xiaoxi Zhang, Shuo Liu, Jingpu Duan, Wenfei Wu, Xu Chen:
Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference. ICPP Workshops 2024: 104-105 - [c46]Yuanming Wang, Kongyange Zhao, Xiaoxi Zhang, Xu Chen:
Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing. INFOCOM (Workshops) 2024: 1-6 - [c45]Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits. INFOCOM 2024: 391-400 - [c44]Xiaoxi Zhang, Haoran Xu, Longhao Zou, Jingpu Duan, Chuan Wu, Yali Xue, Zuozhou Chen, Xu Chen:
Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming. INFOCOM 2024: 491-500 - [c43]Sisi Chen, Weijie Liu, Xiaoxi Zhang, Hong Xu, Wanyu Lin, Xu Chen:
Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift. IWQoS 2024: 1-6 - [c42]Bo Rao, Xiaoxi Zhang, Tianxiang Zhu, Yufei You, Yihong Li, Jingpu Duan, Zhi Zhou, Xu Chen:
Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles. IWQoS 2024: 1-6 - [c41]Jianqiang Zhong, Yihong Li, Shuo Liu, Jingpu Duan, Xiaoxi Zhang, Xu Chen:
POSTER: In-network Model Inference for Distributed Systems via Programmable Switches. SIGCOMM (Posters and Demos) 2024: 75-77 - [i13]Liekang Zeng, Shengyuan Ye, Xu Chen, Xiaoxi Zhang, Ju Ren, Jian Tang, Yang Yang, Xuemin Shen:
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence. CoRR abs/2407.15320 (2024) - [i12]Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen:
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients. CoRR abs/2411.01825 (2024) - 2023
- [j25]Hao He, Hongrui Duo, Youjin Hao, Xiaoxi Zhang, Xinyi Zhou, Yujie Zeng, Yinghong Li, Bo Li:
Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications. Comput. Biol. Medicine 155: 106671 (2023) - [j24]Huirong Ma, Rui Li, Xiaoxi Zhang, Zhi Zhou, Xu Chen:
Reliability-Aware Online Scheduling for DNN Inference Tasks in Mobile-Edge Computing. IEEE Internet Things J. 10(13): 11453-11464 (2023) - [j23]Huirong Ma, Zhi Zhou, Xiaoxi Zhang, Xu Chen:
Toward Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets. IEEE Internet Things J. 10(18): 16637-16649 (2023) - [j22]Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong:
MoDEMS: Optimizing Edge Computing Migrations for User Mobility. IEEE J. Sel. Areas Commun. 41(3): 675-689 (2023) - [j21]Xiaoxi Zhang, Yue Xiong, Yongjun Pan, Dongxin Xu, Ibna Kawsar, Binghe Liu, Liang Hou:
Deep-learning-based inverse structural design of a battery-pack system. Reliab. Eng. Syst. Saf. 238: 109464 (2023) - [j20]Xiaoxi Zhang, Siqi Chen, Yunfan Zhang, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong:
Optimal Network Protocol Selection for Competing Flows via Online Learning. IEEE Trans. Mob. Comput. 22(8): 4822-4836 (2023) - [j19]Kongyange Zhao, Zhi Zhou, Xu Chen, Ruiting Zhou, Xiaoxi Zhang, Shuai Yu, Di Wu:
EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale. IEEE Trans. Mob. Comput. 22(10): 5870-5886 (2023) - [j18]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 Trans. Parallel Distributed Syst. 34(5): 1560-1579 (2023) - [j17]Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, Xu Chen:
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm. IEEE Trans. Parallel Distributed Syst. 34(12): 3073-3089 (2023) - [c40]Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen:
An Online Control Approach of Collaborative Federated Learning with Constrained Resources. APNet 2023: 211-212 - [c39]Yang Peng, Yupeng Xiao, Jingpu Duan, Xiaoxi Zhang, Weichao Li:
Emulating High-performance Networks with CNNet. ICDCS Workshops 2023: 91-96 - [c38]Jiajie Xie, Zhi Zhou, Tao Ouyang, Xiaoxi Zhang, Xu Chen:
Fair DNN Model Selection in Edge AI via A Cooperative Game Approach. ICDCS 2023: 383-394 - [c37]Ziwei Zhan, Xiaoxi Zhang:
Computation-Effective Personalized Federated Learning: A Meta Learning Approach. ICDCS 2023: 957-958 - [c36]Yihong Li, Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chuan Wu:
TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning. INFOCOM 2023: 1-10 - [c35]Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen:
Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency. INFOCOM Workshops 2023: 1-6 - [c34]Tao Ouyang, Kongyange Zhao, Xiaoxi Zhang, Zhi Zhou, Xu Chen:
Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location. INFOCOM 2023: 1-10 - [c33]Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen:
AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. IWQoS 2023: 1-10 - [c32]Tianxiang Zhu, Xiaoxi Zhang, Jingpu Duan, Zhi Zhou, Xu Chen:
A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning. IWQoS 2023: 1-10 - [c31]Tianyu Zeng, Xiaoxi Zhang, Daipeng Feng, Jingpu Duan, Zhi Zhou, Xu Chen:
RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge. MSN 2023: 628-635 - [c30]Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen:
EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. SECON 2023: 411-419 - [c29]Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong:
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. WiOpt 2023: 175-182 - [i11]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. CoRR abs/2301.06447 (2023) - [i10]Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, Xu Chen:
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm. CoRR abs/2302.00571 (2023) - [i9]Huirong Ma, Zhi Zhou, Xiaoxi Zhang, Xu Chen:
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets. CoRR abs/2304.11374 (2023) - [i8]Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou:
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services. CoRR abs/2307.01684 (2023) - [i7]Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, Xu Chen:
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones. CoRR abs/2307.09880 (2023) - [i6]Zhiying Feng, Xu Chen, Qiong Wu, Wen Wu, Xiaoxi Zhang, Qianyi Huang:
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout. CoRR abs/2308.16835 (2023) - [i5]Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen:
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset. CoRR abs/2310.14906 (2023) - 2022
- [j16]Xiaoxi Zhang, Yuan Gao, Xin Wang, Jun Feng, Yan Shi:
GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification. ISPRS Int. J. Geo Inf. 11(5): 290 (2022) - [j15]Wanchang Jiang, Xiaoxi Zhang, Weihua Zhu:
Community Detection using Closeness Similarity based on Common Neighbor Node Clustering Entropy. KSII Trans. Internet Inf. Syst. 16(8): 2587-2605 (2022) - [j14]Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong:
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. SIGMETRICS Perform. Evaluation Rev. 50(2): 21-23 (2022) - [j13]Yuan Gao, Yao-Yi Chiang, Xiaoxi Zhang, Min Zhang:
Traffic volume prediction for scenic spots based on multi-source and heterogeneous data. Trans. GIS 26(6): 2415-2439 (2022) - [j12]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 Trans. Netw. Sci. Eng. 9(4): 2708-2720 (2022) - [j11]Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, Carlee Joe-Wong:
Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs. IEEE/ACM Trans. Netw. 30(1): 215-228 (2022) - [j10]Rui Li, Zhi Zhou, Xiaoxi Zhang, Xu Chen:
Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management. IEEE Trans. Parallel Distributed Syst. 33(12): 4581-4596 (2022) - [j9]Huirong Ma, Peng Huang, Zhi Zhou, Xiaoxi Zhang, Xu Chen:
GreenEdge: Joint Green Energy Scheduling and Dynamic Task Offloading in Multi-Tier Edge Computing Systems. IEEE Trans. Veh. Technol. 71(4): 4322-4335 (2022) - [c28]Haowei Chen, Liekang Zeng, Xiaoxi Zhang, Xu Chen:
AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones. ICDCS 2022: 548-558 - [c27]Wanchang Jiang, Xiaoxi Zhang:
Dynamic Community Detection Algorithm based on Allocating and Splitting. ICTAI 2022: 1132-1137 - [c26]Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong:
MoDEMS: Optimizing Edge Computing Migrations for User Mobility. INFOCOM 2022: 1159-1168 - [c25]Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen:
Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing. WWW 2022: 1774-1784 - 2021
- [j8]Feng Zhang, Huibing Fan, Keju Wang, Yongjin Zhao, Xiaoxi Zhang, Yang Ma:
Research on Intelligent Target Recognition Integrated With Knowledge. IEEE Access 9: 137107-137115 (2021) - [j7]Yadan Zhu, Juxin Yang, Xiaoxi Zhang, Jiqiao Liu, Xiaopeng Zhu, Huaguo Zang, Tengteng Xia, Chuncan Fan, Xiao Chen, Yanguang Sun, Xia Hou, Weibiao Chen:
Performance Improvement of Spaceborne Carbon Dioxide Detection IPDA LIDAR Using Linearty Optimized Amplifier of Photo-Detector. Remote. Sens. 13(10): 2007 (2021) - [j6]Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
Dynamic VM Scaling: Provisioning and Pricing through an Online Auction. IEEE Trans. Cloud Comput. 9(1): 131-144 (2021) - [c24]Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong:
Towards Flexible Device Participation in Federated Learning. AISTATS 2021: 3403-3411 - [c23]Rongying Zhao, Zhuozhu Liu, Xiaoxi Zhang, Junling Wang, Zhaoyang Zhang:
Mapping World Scientific Collaboration on the Research of COVID-19: Authors, Journals, Institutions, and Countries. HICSS 2021: 1-10 - [c22]Taejin Kim, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong:
MoDEMS: Optimizing Edge Computing Migrations For User Mobility. IWQoS 2021: 1-2 - [c21]Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong:
How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. WiOpt 2021: 97-104 - 2020
- [j5]Yang Gao, Chao Zhang, Liyun Yuan, Yunchao Ling, Xiaoji Wang, Chang Liu, Yuwen Pan, Xiaoxi Zhang, Xixian Ma, Yuchen Wang, Yan Lu, Kai Yuan, Wei Ye, Jiaqiang Qian, Huidan Chang, Ruifang Cao, Xiao Yang, Ling Ma, Yuanhu Ju, Long Dai, Yuanyuan Tang, Guoqing Zhang, Shuhua Xu:
PGG.Han: the Han Chinese genome database and analysis platform. Nucleic Acids Res. 48(Database-Issue): D971-D976 (2020) - [j4]Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
A Truthful $(1-\epsilon)$(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning. IEEE Trans. Cloud Comput. 8(3): 735-748 (2020) - [c20]Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Observe Before Play: Multi-Armed Bandit with Pre-Observations. AAAI 2020: 7023-7030 - [c19]Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Noh, Carlee Joe-Wong:
A generative simulation platform for multi-agent systems with incentives. UbiComp/ISWC Adjunct 2020: 580-587 - [c18]Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong:
Machine Learning on Volatile Instances. INFOCOM 2020: 139-148 - [c17]Zhizhou Duan, Yuan Gao, Jun Feng, Xiaoxi Zhang, Jie Wang:
Personalized tourism route recommendation based on user's active interests*. MDM 2020: 729-734 - [i4]Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong:
Machine Learning on Volatile Instances. CoRR abs/2003.05649 (2020) - [i3]Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong:
Towards Flexible Device Participation in Federated Learning for Non-IID Data. CoRR abs/2006.06954 (2020)
2010 – 2019
- 2019
- [c16]Xiaoxi Zhang, Siqi Chen, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong:
Towards Automated Network Management: Learning the Optimal Protocol Selection. ICNP 2019: 1-4 - [c15]Jihoon Lee, Jinsung Lee, Youngbin Im, Sandesh Dhawaskar Sathyanarayana, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha:
CASTLE over the Air: Distributed Scheduling for Cellular Data Transmissions. MobiSys 2019: 417-429 - [c14]Sandesh Dhawaskar Sathyanarayana, Jihoon Lee, Jinsung Lee, Youngbin Im, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha:
CASTLE over the Air - Distributed Scheduling for Cellular Data Transmissions. MobiSys 2019: 673-674 - [c13]Feifei Wan, Yong Yin, Xiaoxi Zhang:
Real-Time Simulation of Deep-Sea Hydrothermal Fluid. VR 2019: 1213-1214 - [c12]Xiaoxi Zhang, Yong Yin, Feifei Wan:
Underwater Manipulation Training Simulation System for Manned DeepSubmarine Vehicle. VR 2019: 1271-1272 - [i2]Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Observe Before Play: Multi-armed Bandit with Pre-observations. CoRR abs/1911.09458 (2019) - 2018
- [j3]Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Observe Before Play: Multi-armed Bandit with Pre-Observations. SIGMETRICS Perform. Evaluation Rev. 46(2): 89-90 (2018) - [c11]Xiaoxi Zhang, Yong Yin:
Design of Training Platform for Manned Submersible Vehicle Based on Virtual Reality Technology. CASA 2018: 90-94 - [c10]Xiaoxi Zhang, Chuan Wu, Zhiyi Huang, Zongpeng Li:
Occupation-Oblivious Pricing of Cloud Jobs via Online Learning. INFOCOM 2018: 2456-2464 - 2017
- [b1]Xiaoxi Zhang:
Dynamic cloud resource provisioning and pricing. University of Hong Kong, Pokfulam, Hong Kong, 2017 - [j2]Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
Online Stochastic Buy-Sell Mechanism for VNF Chains in the NFV Market. IEEE J. Sel. Areas Commun. 35(2): 392-406 (2017) - [j1]Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
Online Auctions in IaaS Clouds: Welfare and Profit Maximization With Server Costs. IEEE/ACM Trans. Netw. 25(2): 1034-1047 (2017) - [c9]Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
Proactive VNF provisioning with multi-timescale cloud resources: Fusing online learning and online optimization. INFOCOM 2017: 1-9 - [c8]Wei You, Yong Yin, Xiaobin Qian, Xiaoxi Zhang:
A Path Planning Algorithm Based on Fluid Simulation. ISCID (1) 2017: 502-506 - 2016
- [i1]Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
A Truthful $(1-ε)$-Optimal Mechanism for On-demand Cloud Resource Provisioning. CoRR abs/1611.07619 (2016) - 2015
- [c7]Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
A truthful (1-ε)-optimal mechanism for on-demand cloud resource provisioning. INFOCOM 2015: 1053-1061 - [c6]Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
Online cost minimization for operating geo-distributed cloud CDNs. IWQoS 2015: 21-30 - [c5]Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau:
Online Auctions in IaaS Clouds: Welfare and Profit Maximization with Server Costs. SIGMETRICS 2015: 3-15 - 2013
- [c4]Ting Wen, Xiaoxi Zhang, Xin Huang, Jiaqing Huang:
Cost Advantage of Network Coding in Space for Irregular (5 + 1) Model. DASC 2013: 642-647 - [c3]Jiaqing Huang, Xunrui Yin, Xiaoxi Zhang, Xu Du, Zongpeng Li:
On Space Information Flow: Single multicast. NetCod 2013: 1-6 - [c2]Zijun Zhang, Zhenkun Jin, Xiaoxi Zhang:
Min-cost wireless multihop networks in Euclidean space. NetCod 2013: 1-6
1990 – 1999
- 1999
- [c1]Shuyu Yang, Xiaoxi Zhang, Sunanda Mitra:
Performance of Lossy Compression Algorithms from Statistical and Perceptual metrics. CBMS 1999: 242-247
Coauthor Index
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