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ORCIDZhi Yang 0001
杨智
Person information
- unicode name: 杨智
- affiliation (PhD 2010): Peking University, Beijing, China
Other persons with the same name
- Zhi Yang — disambiguation page
- Zhi Yang 0002
![[0009-0004-8396-2666]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0004-8396-2666")
— University of Minnesota, Minneapolis, USA (and 2 more) - Zhi Yang 0003 — China Electric Power Research Institute, Beijing, China (and 1 more)
- Zhi Yang 0004 — Sun Yat-sen University, Guangzhou, China
- Zhi Yang 0005 — Tsinghua University, Beijing, China
- Zhi Yang 0006 — Hubei University of Technology Wuhan, School of Computer Science, State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, China
- Zhi Yang 0007 — Shantou University, Guangdong, China
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2020 – today
- 2024
[c63]Ao Zhou, Jianlei Yang, Tong Qiao, Yingjie Qi, Zhi Yang, Weisheng Zhao, Chunming Hu:
Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems. DAC 2024: 187:1-187:6- [c62]Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui:
NC-ALG: Graph-Based Active Learning Under Noisy Crowd. ICDE 2024: 2681-2694 - [c61]Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui:
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling. IJCAI 2024: 8179-8187 - [i26]Ao Zhou, Jianlei Yang, Tong Qiao, Yingjie Qi, Zhi Yang, Weisheng Zhao, Chunming Hu:
Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems. CoRR abs/2404.05605 (2024) - 2023
- [j20]Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui:
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization. Proc. ACM Manag. Data 1(2): 146:1-146:21 (2023) - [j19]Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin:
GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning. Proc. ACM Manag. Data 1(2): 193:1-193:25 (2023) - [j18]Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, Zhihao Jia:
SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training. Proc. VLDB Endow. 16(9): 2354-2363 (2023) - [c60]Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Graph-Enforced Neural Network for Attributed Graph Clustering. APWeb-WAIM (1) 2023: 111-126 - [c59]Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou:
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters. EuroSys 2023: 883-898 - [c58]Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang:
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. OSDI 2023: 681-699 - [c57]Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou:
Welder: Scheduling Deep Learning Memory Access via Tile-graph. OSDI 2023: 701-718 - 2022
- [j17]Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs. IEEE Trans. Knowl. Data Eng. 34(9): 4119-4132 (2022) - [c56]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. ICDE 2022: 2224-2236 - [c55]Xiaonan Nie, Xupeng Miao, Zhi Yang, Bin Cui:
TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting. ICDE 2022: 2615-2628 - [c54]Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng:
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. ICDE 2022: 3439-3452 - [c53]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels. ICLR 2022 - [c52]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
Deep and Flexible Graph Neural Architecture Search. ICML 2022: 26362-26374 - [c51]Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. ICML 2022: 26467-26483 - [c50]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. KDD 2022: 956-966 - [c49]Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Model Degradation Hinders Deep Graph Neural Networks. KDD 2022: 2493-2503 - [c48]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. KDD 2022: 4560-4570 - [c47]Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui:
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training. SIGMOD Conference 2022: 470-480 - [c46]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. WWW 2022: 1817-1828 - [i25]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm. CoRR abs/2203.00638 (2022) - [i24]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels. CoRR abs/2203.01093 (2022) - [i23]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest. CoRR abs/2203.12596 (2022) - [i22]Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng:
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. CoRR abs/2203.14683 (2022) - [i21]Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui:
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR abs/2206.01958 (2022) - [i20]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. CoRR abs/2206.02663 (2022) - [i19]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2206.04355 (2022) - [i18]Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Model Degradation Hinders Deep Graph Neural Networks. CoRR abs/2206.04361 (2022) - [i17]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
DFG-NAS: Deep and Flexible Graph Neural Architecture Search. CoRR abs/2206.08582 (2022) - [i16]Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. CoRR abs/2206.08583 (2022) - 2021
- [j16]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. 14(11): 2167-2176 (2021) - [j15]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. Proc. VLDB Endow. 14(11): 2473-2482 (2021) - [j14]Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. Proc. VLDB Endow. 15(2): 312-320 (2021) - [c45]Shiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng:
SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. CIKM 2021: 3543-3547 - [c44]Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract). ICDE 2021: 2330-2331 - [c43]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. KDD 2021: 2232-2242 - [c42]Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. KDD 2021: 3209-3219 - [c41]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. NeurIPS 2021: 20321-20332 - [c40]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
RIM: Reliable Influence-based Active Learning on Graphs. NeurIPS 2021: 27978-27990 - [c39]Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui:
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. SIGMOD Conference 2021: 2262-2270 - [c38]Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui:
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. SIGMOD Conference 2021: 2366-2374 - [i15]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. CoRR abs/2104.09880 (2021) - [i14]Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. CoRR abs/2106.00421 (2021) - [i13]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2107.08861 (2021) - [i12]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. CoRR abs/2107.11789 (2021) - [i11]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. CoRR abs/2108.00219 (2021) - [i10]Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Evaluating Deep Graph Neural Networks. CoRR abs/2108.00955 (2021) - [i9]Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2108.10097 (2021) - [i8]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. CoRR abs/2110.14377 (2021) - [i7]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
RIM: Reliable Influence-based Active Learning on Graphs. CoRR abs/2110.14854 (2021) - [i6]Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. CoRR abs/2112.07221 (2021) - [i5]Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui:
Dense-to-Sparse Gate for Mixture-of-Experts. CoRR abs/2112.14397 (2021) - 2020
- [c37]Yue Sun, Zhi Yang, Yafei Dai:
TrustGCN: Enabling Graph Convolutional Network for Robust Sybil Detection in OSNs. ASONAM 2020: 1-7 - [c36]Zheyu Lin, Xukun Chen, Hanyu Zhao, Yunteng Luan, Zhi Yang, Yafei Dai:
A Topology-Aware Performance Prediction Model for Distributed Deep Learning on GPU Clusters. IEEE BigData 2020: 2795-2801 - [c35]Chao Tian, Lingxiao Ma, Zhi Yang, Yafei Dai:
PCGCN: Partition-Centric Processing for Accelerating Graph Convolutional Network. IPDPS 2020: 936-945 - [c34]Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Francis C. M. Lau, Yuqi Wang, Yifan Xiong, Bin Wang:
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees. OSDI 2020: 515-532 - [c33]Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou:
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. OSDI 2020: 881-897
2010 – 2019
- 2019
- [c32]Yusi Zhang, Zhi Yang, Liang Wang, Li He:
Autor3: Automated Real-time Ranking with Reinforcement Learning in E-commerce Sponsored Search Advertising. CIKM 2019: 2499-2507 - [c31]Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang:
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. CVPR 2019: 11216-11225 - [c30]Yunteng Luan, Xukun Chen, Hanyu Zhao, Zhi Yang, Yafei Dai:
SCHED²: Scheduling Deep Learning Training via Deep Reinforcement Learning. GLOBECOM 2019: 1-7 - [c29]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX ATC 2019: 443-458 - [i4]Yunteng Luan, Hanyu Zhao, Zhi Yang, Yafei Dai:
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks. CoRR abs/1911.09418 (2019) - 2018
- [j13]Zhi Yang, Wei Chen:
A Game Theoretic Model for the Formation of Navigable Small-World Networks - The Tradeoff between Distance and Reciprocity. ACM Trans. Internet Techn. 18(4): 56:1-56:38 (2018) - [c28]Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai:
SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines. SoCC 2018: 68-81 - [c27]Zhi Yang, Yusi Zhang, Yafei Dai:
Defending against Social Network Sybils with Interaction Graph Embedding. CNS 2018: 1-9 - [c26]Yangze Guo, Yuanxing Zhang, Zhi Yang, Kaigui Bian, Hu Tuo, Yafei Dai:
ATDPS: An Adaptive Time-Dependent Push Strategy in Hybrid CDN-P2P VoD System. ICC 2018: 1-6 - [c25]Zhi Yang, Yusi Zhang, Binghui Guo, Ben Y. Zhao, Yafei Dai:
DeepCredit: Exploiting User Cickstream for Loan Risk Prediction in P2P Lending. ICWSM 2018: 444-453 - [c24]Shenglong Li, Quanlu Zhang, Zhi Yang, Hanyu Zhao, Yafei Dai:
Building efficient and available distributed transaction with Paxos-based coding consensus. INFOCOM Workshops 2018: 373-378 - [c23]Yuanxing Zhang, Chengliang Gao, Yangze Guo, Kaigui Bian, Xin Jin, Zhi Yang, Lingyang Song, Jiangang Cheng, Hu Tuo, Xiaoming Li:
Proactive Video Push for Optimizing Bandwidth Consumption in Hybrid CDN-P2P VoD Systems. INFOCOM 2018: 2555-2563 - [i3]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
Towards Efficient Large-Scale Graph Neural Network Computing. CoRR abs/1810.08403 (2018) - 2017
- [j12]Yuanxing Zhang, Zhuqi Li, Kaigui Bian, Yichong Bai, Zhi Yang, Xiaoming Li:
Modeling geo-homopholy in online social networks for population distribution projection. Int. J. Crowd Sci. 1(3): 249-269 (2017) - [j11]Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai:
Processing Concurrent Graph Analytics with Decoupled Computation Model. IEEE Trans. Computers 66(5): 876-890 (2017) - [c22]Zhenhui Zhu, Zhi Yang, Yafei Dai:
Understanding the Gift-Sending Interaction on Live-Streaming Video Websites. HCI (12) 2017: 274-285 - [c21]Yuanxing Zhang, Zhuqi Li, Kaigui Bian, Yichong Bai, Zhi Yang, Xiaoming Li:
Population Distribution Projection by Modeling Geo Homophily in Online Social Networks. ICCSE 2017: 1-8 - [c20]Quanlu Zhang, Zhenhua Li, Zhi Yang, Shenglong Li, Shouyang Li, Yangze Guo, Yafei Dai:
DeltaCFS: Boosting Delta Sync for Cloud Storage Services by Learning from NFS. ICDCS 2017: 264-275 - [c19]Lingxiao Ma, Zhi Yang, Han Chen, Jilong Xue, Yafei Dai:
Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. USENIX ATC 2017: 195-207 - 2016
- [j10]Zhi Yang, Jilong Xue, Xiaoyong Yang, Xiao Wang, Yafei Dai:
VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils. IEEE Trans. Dependable Secur. Comput. 13(4): 488-501 (2016) - [c18]Shenglong Li, Jilong Xue, Zhi Yang, Yafei Dai:
Efficient Distributed Machine Learning with Trigger Driven Parallel Training. GLOBECOM 2016: 1-6 - 2015
- [j9]Zhi Yang, Yuanjian Xing, Chi Chen, Jilong Xue, Yafei Dai:
Understanding the performance of offline download in real p2p networks. Peer-to-Peer Netw. Appl. 8(6): 992-1007 (2015) - [j8]Quanlu Zhang, Shenglong Li, Zhenhua Li, Yuanjian Xing, Zhi Yang, Yafei Dai:
CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability. IEEE Trans. Cloud Comput. 3(3): 372-386 (2015) - [c17]Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai:
When computing meets heterogeneous cluster: Workload assignment in graph computation. IEEE BigData 2015: 154-163 - [c16]Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai:
Process-driven Analysis of Dynamics in Online Social Interactions. COSN 2015: 139-149 - [c15]Shenglong Li, Quanlu Zhang, Zhi Yang, Yafei Dai:
Understanding and Surpassing Dropbox: Efficient Incremental Synchronization in Cloud Storage Services. GLOBECOM 2015: 1-7 - [c14]Zhi Yang, Jilong Xue, Christo Wilson, Ben Y. Zhao, Yafei Dai:
Uncovering User Interaction Dynamics in Online Social Networks. ICWSM 2015: 698-701 - [c13]Zhi Yang, Wei Chen:
A Game Theoretic Model for the Formation of Navigable Small-World Networks. WWW 2015: 1329-1339 - 2014
- [j7]Zhi Yang, Christo Wilson, Xiao Wang, Tingting Gao, Ben Y. Zhao, Yafei Dai:
Uncovering social network Sybils in the wild. ACM Trans. Knowl. Discov. Data 8(1): 2:1-2:29 (2014) - [c12]Jilong Xue, Zhi Yang, Zhi Qu, Shian Hou, Yafei Dai:
Seraph: an efficient, low-cost system for concurrent graph processing. HPDC 2014: 227-238 - [i2]Zhi Yang, Wei Chen:
A Game Theoretic Model for the Formation of Navigable Small-World Networks. CoRR abs/1411.4097 (2014) - 2013
- [j6]Yuanjian Xing, Zhi Yang, Chi Chen, Yafei Dai:
Beehive: low-cost content subscription service using cloudlets. Sci. China Inf. Sci. 56(7): 1-16 (2013) - [c11]Jilong Xue, Zhi Yang, Xiaoyong Yang, Xiao Wang, Lijiang Chen, Yafei Dai:
VoteTrust: Leveraging friend invitation graph to defend against social network Sybils. INFOCOM 2013: 2400-2408 - [c10]Zhi Yang, Yafei Dai:
PROB: A lightweight approach for fast content propagation in P2P networks. P2P 2013: 1-10 - [c9]Zhi Yang, Jilong Xue, Han Xiao Zhao, Xiao Wang, Ben Y. Zhao, Yafei Dai:
Unfolding dynamics in a social network: co-evolution oflink formation and user interaction. WWW (Companion Volume) 2013: 67-68 - 2011
- [j5]Zhi Yang, Yafei Dai:
Autoproc: An automatic proactive replication scheme for P2P storage. Sci. China Inf. Sci. 54(6): 1151-1160 (2011) - [j4]Yu Wu, Zhi Yang, Zhi Qu, Zhen Xiao, Yafei Dai:
User-experience-based availability analysis model and its application in P2P storage systems. Sci. China Inf. Sci. 54(8): 1585-1595 (2011) - [j3]Zhi Yang, Jing Tian, Ben Y. Zhao, Wei Chen, Yafei Dai:
Protector: A Probabilistic Failure Detector for Cost-Effective Peer-to-Peer Storage. IEEE Trans. Parallel Distributed Syst. 22(9): 1514-1527 (2011) - [c8]Yuanjian Xing, Zhi Yang, Chi Chen, Jilong Xue, Yafei Dai:
On the QoS of Offline Download in Retrieving Peer-Side File Resource. ICPP 2011: 783-792 - [c7]Zhi Yang, Christo Wilson, Xiao Wang, Tingting Gao, Ben Y. Zhao, Yafei Dai:
Uncovering social network sybils in the wild. Internet Measurement Conference 2011: 259-268 - [c6]Zhi Yang, Yuanjian Xing, Feng Xiao, Zhi Qu, Xiaoming Li, Yafei Dai:
Exploring peer heterogeneity: Towards understanding and application. Peer-to-Peer Computing 2011: 20-29 - [i1]Zhi Yang, Christo Wilson, Xiao Wang, Tingting Gao, Ben Y. Zhao, Yafei Dai:
Uncovering Social Network Sybils in the Wild. CoRR abs/1106.5321 (2011) - 2010
- [j2]Zhi Yang, Jing Tian, Yafei Dai:
Towards a more accurate availability evaluation in peer-to-peer storage systems. Int. J. High Perform. Comput. Netw. 6(3/4): 213-219 (2010) - [c5]Zhi Yang, Ben Y. Zhao, Yuanjian Xing, Song Ding, Feng Xiao, Yafei Dai:
AmazingStore: available, low-cost online storage service using cloudlets. IPTPS 2010: 2
2000 – 2009
- 2009
- [j1]Zhi Yang, Yafei Dai, Xiaoming Li:
The Neutralizer: a self-configurable failure detector for minimizing distributed storage maintenance cost. Concurr. Comput. Pract. Exp. 21(2): 185-204 (2009) - [c4]Zhi Yang, Yafei Dai, Zhen Xiao:
Exploring the Cost-Availability Tradeoff in P2P Storage Systems. ICPP 2009: 429-436 - 2008
- [c3]Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei Dai:
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance. SRDS 2008: 147-156 - 2007
- [c2]Jing Tian, Zhi Yang, Yafei Dai:
A Data Placement Scheme with Time-Related Model for P2P Storages. Peer-to-Peer Computing 2007: 151-158 - 2006
- [c1]