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Zechao Shang
Zechao Shang
Postdoctoral Scholar, The University of Chicago
Geverifieerd e-mailadres voor uchicago.edu - Homepage
Titel
Geciteerd door
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Jaar
Catch the wind: Graph workload balancing on cloud
Z Shang, JX Yu
2013 IEEE 29th International Conference on Data Engineering (ICDE), 553-564, 2013
1102013
K-reach: Who is in your small world
J Cheng, Z Shang, H Cheng, H Wang, JX Yu
arXiv preprint arXiv:1208.0090, 2012
612012
Keyword-centric community search
Z Zhang, X Huang, J Xu, B Choi, Z Shang
2019 IEEE 35th international conference on data engineering (ICDE), 422-433, 2019
452019
Measuring robustness of complex networks under MVC attack
RH Li, JX Yu, X Huang, H Cheng, Z Shang
Proceedings of the 21st ACM international conference on Information and …, 2012
402012
Auto-approximation of graph computing
Z Shang, JX Yu
Proceedings of the VLDB Endowment 7 (14), 1833-1844, 2014
332014
Graph analytics through fine-grained parallelism
Z Shang, F Li, JX Yu, Z Zhang, H Cheng
Proceedings of the 2016 International Conference on Management of Data, 463-478, 2016
272016
Measuring the impact of MVC attack in large complex networks
RH Li, JX Yu, X Huang, H Cheng, Z Shang
Information Sciences 278, 685-702, 2014
262014
Divide & conquer: I/O efficient depth-first search
Z Zhang, JX Yu, L Qin, Z Shang
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
242015
Efficient processing of -hop reachability queries
J Cheng, Z Shang, H Cheng, H Wang, JX Yu
The VLDB journal 23 (2), 227-252, 2014
242014
Intermittent query processing
D Tang, Z Shang, AJ Elmore, S Krishnan, MJ Franklin
Proceedings of the VLDB Endowment 12 (11), 1427-1441, 2019
232019
Combining aggregation and sampling (nearly) optimally for approximate query processing
X Liang, S Sintos, Z Shang, S Krishnan
Proceedings of the 2021 International Conference on Management of Data, 1129 …, 2021
212021
Thrifty query execution via incrementability
D Tang, Z Shang, AJ Elmore, S Krishnan, MJ Franklin
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
162020
CrocodileDB: Efficient Database Execution through Intelligent Deferment.
Z Shang, X Liang, D Tang, C Ding, AJ Elmore, S Krishnan, MJ Franklin
CIDR, 2020
142020
Fast and reliable missing data contingency analysis with predicate-constraints
X Liang, Z Shang, S Krishnan, AJ Elmore, MJ Franklin
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
132020
Artificial intelligence in resource-constrained and shared environments
S Krishnan, AJ Elmore, M Franklin, J Paparrizos, Z Shang, A Dziedzic, ...
ACM SIGOPS Operating Systems Review 53 (1), 1-6, 2019
122019
Resource-efficient shared query execution via exploiting time slackness
D Tang, Z Shang, WW Ma, AJ Elmore, S Krishnan
Proceedings of the 2021 International Conference on Management of Data, 1797 …, 2021
92021
Rushmon: Real-time isolation anomalies monitoring
Z Shang, JX Yu, AJ Elmore
Proceedings of the 2018 International Conference on Management of Data, 647-662, 2018
92018
To meet or not to meet: Finding the shortest paths in road networks
W Huang, Y Zhang, Z Shang, JX Yu
IEEE Transactions on Knowledge and Data Engineering 30 (4), 772-785, 2017
92017
Tufast: A lightweight parallelization library for graph analytics
Z Shang, JX Yu, Z Zhang
2019 IEEE 35th International Conference on Data Engineering (ICDE), 710-721, 2019
82019
Crocodiledb in action: Resource-efficient query execution by exploiting time slackness
D Tang, Z Shang, AJ Elmore, S Krishnan, MJ Franklin
Proceedings of the VLDB Endowment 13 (12), 2937-2940, 2020
62020
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Artikelen 1–20