Zhi Yang

According to our database, Zhi Yang authored at least 90 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling.

Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

NC-ALG: Graph-Based Active Learning Under Noisy Crowd.

Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems.

Ao Zhou, Jianlei Yang, Tong Qiao, Yingjie Qi, Zhi Yang, Weisheng Zhao, Chunming Hu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training.

Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, Zhihao Jia

Proc. VLDB Endow., 2023

GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning.

Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin

Proc. ACM Manag. Data, 2023

Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization.

Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui

Proc. ACM Manag. Data, 2023

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.

Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Welder: Scheduling Deep Learning Memory Access via Tile-graph.

Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters.

Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Graph-Enforced Neural Network for Attributed Graph Clustering.

Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs.

Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang

IEEE Trans. Knowl. Data Eng., 2022

DFG-NAS: Deep and Flexible Graph Neural Architecture Search.

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

CoRR, 2022

Instance-wise Prompt Tuning for Pretrained Language Models.

Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui

CoRR, 2022

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training.

Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Model Degradation Hinders Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.

Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

Deep and Flexible Graph Neural Architecture Search.

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels.

Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

Proceedings of the Tenth International Conference on Learning Representations, 2022

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System.

Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting.

Xiaonan Nie, Xupeng Miao, Zhi Yang, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest.

Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.

Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui

Proc. VLDB Endow., 2021

HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework.

Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui

Proc. VLDB Endow., 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2021

Dense-to-Sparse Gate for Mixture-of-Experts.

Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui

CoRR, 2021

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

CoRR, 2021

Evaluating Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

CoRR, 2021

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

CoRR, 2021

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks.

Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce.

Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Node Dependent Local Smoothing for Scalable Graph Learning.

Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RIM: Reliable Influence-based Active Learning on Graphs.

Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ROD: Reception-aware Online Distillation for Sparse Graphs.

Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

OpenBox: A Generalized Black-box Optimization Service.

Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).

Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search.

Shiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees.

Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Francis C. M. Lau, Yuqi Wang, Yifan Xiong, Bin Wang

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks.

Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

PCGCN: Partition-Centric Processing for Accelerating Graph Convolutional Network.

Chao Tian, Lingxiao Ma, Zhi Yang, Yafei Dai

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Topology-Aware Performance Prediction Model for Distributed Deep Learning on GPU Clusters.

Zheyu Lin, Xukun Chen, Hanyu Zhao, Yunteng Luan, Zhi Yang, Yafei Dai

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

TrustGCN: Enabling Graph Convolutional Network for Robust Sybil Detection in OSNs.

Yue Sun, Zhi Yang, Yafei Dai

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks.

Yunteng Luan, Hanyu Zhao, Zhi Yang, Yafei Dai

CoRR, 2019

NeuGraph: Parallel Deep Neural Network Computation on Large Graphs.

Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

SCHED²: Scheduling Deep Learning Training via Deep Reinforcement Learning.

Yunteng Luan, Xukun Chen, Hanyu Zhao, Zhi Yang, Yafei Dai

Proceedings of the 2019 IEEE Global Communications Conference, 2019

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization.

Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Autor3: <i>Au</i>tomated <i>R</i>eal-time <i>R</i>anking with <i>R</i>einforcement Learning in E-commerce Sponsored Search Advertising.

Yusi Zhang, Zhi Yang, Liang Wang, Li He

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Game Theoretic Model for the Formation of Navigable Small-World Networks - The Tradeoff between Distance and Reciprocity.

Zhi Yang, Wei Chen

ACM Trans. Internet Techn., 2018

Towards Efficient Large-Scale Graph Neural Network Computing.

Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai

CoRR, 2018

Proactive Video Push for Optimizing Bandwidth Consumption in Hybrid CDN-P2P VoD Systems.

Yuanxing Zhang, Chengliang Gao, Yangze Guo, Kaigui Bian, Xin Jin, Zhi Yang, Lingyang Song, Jiangang Cheng, Hu Tuo, Xiaoming Li

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Building efficient and available distributed transaction with Paxos-based coding consensus.

Shenglong Li, Quanlu Zhang, Zhi Yang, Hanyu Zhao, Yafei Dai

Proceedings of the IEEE INFOCOM 2018, 2018

DeepCredit: Exploiting User Cickstream for Loan Risk Prediction in P2P Lending.

Zhi Yang, Yusi Zhang, Binghui Guo, Ben Y. Zhao, Yafei Dai

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

ATDPS: An Adaptive Time-Dependent Push Strategy in Hybrid CDN-P2P VoD System.

Yangze Guo, Yuanxing Zhang, Zhi Yang, Kaigui Bian, Hu Tuo, Yafei Dai

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Defending against Social Network Sybils with Interaction Graph Embedding.

Zhi Yang, Yusi Zhang, Yafei Dai

Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines.

Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Processing Concurrent Graph Analytics with Decoupled Computation Model.

Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai

IEEE Trans. Computers, 2017

Modeling geo-homopholy in online social networks for population distribution projection.

Yuanxing Zhang, Zhuqi Li, Kaigui Bian, Yichong Bai, Zhi Yang, Xiaoming Li

Int. J. Crowd Sci., 2017

Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication.

Lingxiao Ma, Zhi Yang, Han Chen, Jilong Xue, Yafei Dai

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

DeltaCFS: Boosting Delta Sync for Cloud Storage Services by Learning from NFS.

Quanlu Zhang, Zhenhua Li, Zhi Yang, Shenglong Li, Shouyang Li, Yangze Guo, Yafei Dai

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Population Distribution Projection by Modeling Geo Homophily in Online Social Networks.

Yuanxing Zhang, Zhuqi Li, Kaigui Bian, Yichong Bai, Zhi Yang, Xiaoming Li

Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Understanding the Gift-Sending Interaction on Live-Streaming Video Websites.

Zhenhui Zhu, Zhi Yang, Yafei Dai

Proceedings of the Social Computing and Social Media. Human Behavior, 2017

2016

VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils.

Zhi Yang, Jilong Xue, Xiaoyong Yang, Xiao Wang, Yafei Dai

IEEE Trans. Dependable Secur. Comput., 2016

Efficient Distributed Machine Learning with Trigger Driven Parallel Training.

Shenglong Li, Jilong Xue, Zhi Yang, Yafei Dai

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015

CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability.

Quanlu Zhang, Shenglong Li, Zhenhua Li, Yuanjian Xing, Zhi Yang, Yafei Dai

IEEE Trans. Cloud Comput., 2015

Understanding the performance of offline download in real p2p networks.

Zhi Yang, Yuanjian Xing, Chi Chen, Jilong Xue, Yafei Dai

Peer-to-Peer Netw. Appl., 2015

A Game Theoretic Model for the Formation of Navigable Small-World Networks.

Zhi Yang, Wei Chen

Proceedings of the 24th International Conference on World Wide Web, 2015

Uncovering User Interaction Dynamics in Online Social Networks.

Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Understanding and Surpassing Dropbox: Efficient Incremental Synchronization in Cloud Storage Services.

Shenglong Li, Quanlu Zhang, Zhi Yang, Yafei Dai

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Process-driven Analysis of Dynamics in Online Social Interactions.

Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai

Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

When computing meets heterogeneous cluster: Workload assignment in graph computation.

Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Uncovering social network Sybils in the wild.

Zhi Yang, Christo Wilson, Xiao Wang, Tingting Gao, Ben Y. Zhao, Yafei Dai

ACM Trans. Knowl. Discov. Data, 2014

Seraph: an efficient, low-cost system for concurrent graph processing.

Jilong Xue, Zhi Yang, Zhi Qu, Shian Hou, Yafei Dai

Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

2013

Beehive: low-cost content subscription service using cloudlets.

Yuanjian Xing, Zhi Yang, Chi Chen, Yafei Dai

Sci. China Inf. Sci., 2013

Unfolding dynamics in a social network: co-evolution oflink formation and user interaction.

Zhi Yang, Jilong Xue, Han Xiao Zhao, Xiao Wang, Ben Y. Zhao, Yafei Dai

Proceedings of the 22nd International World Wide Web Conference, 2013

PROB: A lightweight approach for fast content propagation in P2P networks.

Zhi Yang, Yafei Dai

Proceedings of the 13th IEEE International Conference on Peer-to-Peer Computing, 2013

VoteTrust: Leveraging friend invitation graph to defend against social network Sybils.

Jilong Xue, Zhi Yang, Xiaoyong Yang, Xiao Wang, Lijiang Chen, Yafei Dai

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2011

Protector: A Probabilistic Failure Detector for Cost-Effective Peer-to-Peer Storage.

Zhi Yang, Jing Tian, Ben Y. Zhao, Wei Chen, Yafei Dai

IEEE Trans. Parallel Distributed Syst., 2011

Autoproc: An automatic proactive replication scheme for P2P storage.

Zhi Yang, Yafei Dai

Sci. China Inf. Sci., 2011

User-experience-based availability analysis model and its application in P2P storage systems.

Yu Wu, Zhi Yang, Zhi Qu, Zhen Xiao, Yafei Dai

Sci. China Inf. Sci., 2011

Exploring peer heterogeneity: Towards understanding and application.

Zhi Yang, Yuanjian Xing, Feng Xiao, Zhi Qu, Xiaoming Li, Yafei Dai

Proceedings of the 2011 IEEE International Conference on Peer-to-Peer Computing, 2011

On the QoS of Offline Download in Retrieving Peer-Side File Resource.

Yuanjian Xing, Zhi Yang, Chi Chen, Jilong Xue, Yafei Dai

Proceedings of the International Conference on Parallel Processing, 2011

2010

Towards a more accurate availability evaluation in peer-to-peer storage systems.

Zhi Yang, Jing Tian, Yafei Dai

Int. J. High Perform. Comput. Netw., 2010

AmazingStore: available, low-cost online storage service using cloudlets.

Zhi Yang, Ben Y. Zhao, Yuanjian Xing, Song Ding, Feng Xiao, Yafei Dai

Proceedings of the 9th international conference on Peer-to-peer systems, 2010

2009

The Neutralizer: a self-configurable failure detector for minimizing distributed storage maintenance cost.

Zhi Yang, Yafei Dai, Xiaoming Li

Concurr. Comput. Pract. Exp., 2009

Exploring the Cost-Availability Tradeoff in P2P Storage Systems.

Zhi Yang, Yafei Dai, Zhen Xiao

Proceedings of the ICPP 2009, 2009

2008

Probabilistic Failure Detection for Efficient Distributed Storage Maintenance.

Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai

Proceedings of the 27th IEEE Symposium on Reliable Distributed Systems (SRDS 2008), 2008

2007

A Data Placement Scheme with Time-Related Model for P2P Storages.

Jing Tian, Zhi Yang, Yafei Dai

Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007

2006

Towards a More Accurate Availability Evaluation.

Zhi Yang, Jing Tian, Yafei Dai

Proceedings of the 2006 International Workshop on Networking, 2006