All publications: Google Scholar
DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph [Link] [GitHub] [YouTube] [Poster]
Jalal Khalil, Ahmad Akhlaque, Da Yan, Lyuheng Yuan, Saugat Adhikari, Yang Zhou, Zhe Jiang
ACM International Conference on Information and Knowledge Management (CIKM 2024)
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery
Mirza Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining from a Big Graph (Best Demo Runner Up! 🌟) [Link] [GitHub] [YouTube][Poster]
Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
The IEEE International Conference on Data Engineering (ICDE 2024)
T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph [Link]
Lyuheng Yuan, Da Yan, wenwen qu, Saugat Adhikari, Jalal Khalil, Cheng Long, Xiaoling Wang
International Conference on Management of Data (ACM SIGMOD 2023)
Center-Based iPSC Colony Counting with Multi-Task Learning [Link]
Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md Emon Hossain, Kejin Hu, Yang Zhou
IEEE International Conference on Data Mining (ICDM 2022)
Realistic Urban Traffic Simulation with Ride-Hailing Services: A Revisit to Network Kernel Density Estimation (Systems Paper) (Best Paper candidate 
) [GitHub] [Link] [YouTube]
Jalal Khalil, Da Yan, Lyuheng Yuan, Saugat Adhikari, Mostafa Jafarzadehfadaki, Virginia Sisiopiku and Zhe Jiang
International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022)
An Elevation-Guided Annotation Tool for Flood Extent Mapping on Earth Imagery (Demo Paper) [Link]
Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang and Arpan Man Sainju
International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022)
Maximal Directed Quasi-Clique Mining [GitHub] [Link]
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 [Link]
Da Yan, Md Mashiur Rahma Chowdhury, Guimu Guo, Jalal Kahlil, Zhe Jiang, Sushil Prasad
The IEEE International Conference on Data Engineering (ICDE 2022)
Parallel Mining of Large Maximal Quasi-Cliques [GitHub] [Link]
Jalal Khalil, Da Yan, Guimu Guo, Lyuheng Yuan
VLDB Journal 2022
G-thinker: A General Distributed Framework for Finding Qualified Subgraphs in a Big Graph with Load Balancing [Link]
Da YAN, Guimu Guo, Jalal Khalil, M. Tamer Ozsu, Wei-Shinn Ku, John C.S. Lui
VLDB Journal 2022
Potential Benefits of Increased Public Transit Ridership in Medium Sized Cities: A Case Study [Link]
Taniya Sultana, Virginia P. Sisiopiku, Jalal Khalil, Da YAN
Journal of Transportation Technologies 2021
Traffic Study of Shared Micromobility Services by Transportation Simulation [Link] [YouTube]
Jalal Khalil, Da YAN, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku.
IEEE BigData 2021
[Poster] Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services [YouTube]
Jalal Khalil, Da YAN, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku.
2021 IEEE International Conference on Big Data (BTSD @ IEEE BigData 2021)
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach [Link]
Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang, Jalal Khalil
Proceedings of the VLDB Endowment (PVLDB 2020)
Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data [Link]
Guimu Guo, Jalal Khalil, Da Yan, and Virginia Sisiopiku
2019 IEEE International Conference on Big Data (BTSD @ IEEE BigData 2019)
[Poster] Realistic Transport Simulation with Open Data [Link] [Poster]
Guimu Guo, Jalal Khalil, Da Yan, and Virginia Sisiopiku
2019 IEEE International Conference on Big Data (IEEE BigData 2019)