Publications

Accelerating k-Core Decomposition by a GPU.
Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang.
The IEEE International Conference on Data Engineering (ICDE 2023)

Maximal Directed Quasi-Clique Mining
Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
The IEEE International Conference on Data Engineering (ICDE 2022)

Distributed Task-Based Training of Tree Models
Da Yan, Md Mashiur Rahma Chowdhury, Guimu Guo, Jalal Kahlil, Zhe Jiang, Sushil Prasad
The IEEE International Conference on Data Engineering (ICDE 2022)

Parallel Graph Processing
Da YAN, Yang Zhou, Guimu Guo
Encyclopedia of Big Data Technologies

Think Like a Task Programming Model
Da YAN, Guimu Guo
Encyclopedia of Big Data Technologies

G-thinker: A General Distributed Framework for Finding Qualified Subgraphs in a Big Graph with Load Balancing
Da YAN, Guimu Guo, Jalal Khalil, M. Tamer Ozsu, Wei-Shinn Ku, John C.S. Lui
VLDB Journal 2022

PrefixFPM: A Parallel Framework for General-Purpose Mining of Frequent and Closed Patterns
Da YAN, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou
VLDB Journal 2022

Parallel Mining of Large Maximal Quasi-Cliques
Jalal Khalil, Da Yan, Guimu Guo, Lyuheng Yuan
VLDB Journal 2022

Traffic Study of Shared Micromobility Services by Transportation Simulation
Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia Sisiopiku
BTSD@IEEE BigData 2021

Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services
Jalal Khalil, Da YAN, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku
IEEE BigData 2021

Drone-Based Tower Survey by Multi-Task Learning
Mirza Tanzim Sami, Da YAN, Huang Huang, Xinyu Liang, Guimu Guo, and Zhe Jiang
IEEE BigData 2021

Biological Network Mining
Zongliang Yue, Da Yan, Guimu Guo, Jake Yue Chen
Modelling transcriptional Regulation, Methods in Molecular Biology, Springer, 2021

Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Majed Khalil
Proceedings of the VLDB Endowment (PVLDB 2020)

G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph
Da YAN, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, Wei-Shinn Ku, John C.S. Lui
The IEEE International Conference on Data Engineering (ICDE 2020)

PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining
Da YAN, Wenwen Qu, Guimu Guo, Xiaoling Wang
The IEEE International Conference on Data Engineering (ICDE 2020)

Systems and Algorithms for Massively Parallel Graph Mining (Tutorial)
Da Yan and Guimu Guo
2020 IEEE International Conference on Big Data (IEEE BigData 2020)

Parallel Mining of Frequent Subtree Patterns
Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou
International Workshop on Large Scale Graph Data Analytics (LSGDA@VLDB 2020)

Accurate Tensor Decomposition with Simultaneous Rank Approximation for Surveillance Videos
Ramin Goudarzi Karim, Guimu Guo, Da Yan, Carmeliza Navasca
The 54th Asilomar Conference on Signals, Systems and Computers

T-thinker: A Task-Centric Distributed Framework for Compute-Intensive Divide-and-Conquer Algorithms
Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M Tamer Özsu, John Lui, Weida Tan
Proceedings of the 24th Symposium on Principles and Practice of Parallel Programmin (PPOPP)
[PDF]

Scalable De Novo Genome Assembly Using a Pregel-Like Graph-Parallel System.
Guimu Guo, Hongzhi Chen, Da Yan, James Cheng, Jake Y. Chen, Zechen Chong
IEEE/ACM transactions on computational biology and bioinformatics (TCBB 2019)
[PDF]

Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data
Guimu Guo, Jalal Majed Khalil, Da Yan, and Virginia Sisiopiku
2019 IEEE International Conference on Big Data (BTSD @ IEEE BigData 2019)

EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models
Ji Cheng, Guimu Guo, Da Yan, Xiaotian Hao, and Wilfred Ng
2019 IEEE International Conference on Big Data (IEEE BigData 2019)

Realistic Transport Simulation with Open Data
Guimu Guo, Jalal Majed Khalil, Da Yan, and Virginia Sisiopiku
2019 IEEE International Conference on Big Data (IEEE BigData 2019)

Parallel Clique-like Subgraph Counting and Listing
Yi Yang, Da Yan, Shuigeng Zhou and Guimu Guo
ER 2019 – 38th International Conference on Conceptual Modeling (ER 2019)
[PDF]

Traffic crash prediction based on incremental learning algorithm
Ping Sun, Guimu Guo, Rongjie Yu
2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)
[PDF]