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2020 – today
- 2023
[c15]Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang:
Accelerating k-Core Decomposition by a GPU. ICDE 2023: 1818-1831- 2022
- [j5]Da Yan
, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou:
PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns. VLDB J. 31(2): 253-286 (2022) - [j4]Da Yan, Guimu Guo, Jalal Khalil, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui:
G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing. VLDB J. 31(2): 287-320 (2022) - [j3]Jalal Khalil, Da Yan, Guimu Guo, Lyuheng Yuan:
Parallel mining of large maximal quasi-cliques. VLDB J. 31(4): 649-674 (2022) - [c14]Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou:
Maximal Directed Quasi -Clique Mining. ICDE 2022: 1900-1913 - [c13]Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil K. Prasad:
Distributed Task-Based Training of Tree Models. ICDE 2022: 2237-2249 - 2021
- [j2]Guimu Guo, Hongzhi Chen, Da Yan, James Cheng, Jake Y. Chen, Zechen Chong:
Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 731-744 (2021) - [c12]Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku:
Traffic Study of Shared Micromobility Services by Transportation Simulation. IEEE BigData 2021: 3691-3699 - [c11]Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku:
Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services. IEEE BigData 2021: 5935-5937 - [c10]Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang:
Drone-Based Tower Survey by Multi-Task Learning. IEEE BigData 2021: 6011-6013 - 2020
- [j1]Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Khalil:
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. Proc. VLDB Endow. 14(4): 573-585 (2020) - [c9]Ramin Goudarzi Karim, Guimu Guo, Da Yan, Carmeliza Navasca:
Accurate Tensor Decomposition with Simultaneous Rank Approximation for Surveillance Videos. ACSSC 2020: 842-846 - [c8]Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui:
G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph. ICDE 2020: 1369-1380 - [c7]Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang:
PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining. ICDE 2020: 1938-1941 - [c6]Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou:
Parallel Mining of Frequent Subtree Patterns. SFDI/LSGDA@VLDB 2020: 18-32 - [i1]Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang:
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. CoRR abs/2005.00081 (2020)
2010 – 2019
- 2019
- [c5]Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku:
Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data. IEEE BigData 2019: 4512-4519 - [c4]Ji Cheng, Guimu Guo, Da Yan, Xiaotian Hao, Wilfred Ng:
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models. IEEE BigData 2019: 6019-6021 - [c3]Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku:
Realistic Transport Simulation with Open Data. IEEE BigData 2019: 6066-6068 - [c2]Yi Yang, Da Yan, Shuigeng Zhou, Guimu Guo:
Parallel Clique-Like Subgraph Counting and Listing. ER 2019: 484-497 - [c1]Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, John C. S. Lui, Weida Tan:
T-thinker: a task-centric distributed framework for compute-intensive divide-and-conquer algorithms. PPoPP 2019: 411-412
Coauthor Index
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