Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data. - Guimu Guo; Jalal Majed Khalil; Da Yan 001; Virginia P. Sisiopiku (IEEE BigData, 2019)

Realistic Transport Simulation with Open Data. - Guimu Guo; Jalal Majed Khalil; Da Yan 001; Virginia P. Sisiopiku (IEEE BigData, 2019)

Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. - Guimu Guo; Da Yan 001; M. Tamer Özsu; Zhe Jiang 001; Jalal Khalil (Proc. VLDB Endow., 2020)

Traffic Study of Shared Micromobility Services by Transportation Simulation. - Jalal Khalil; Da Yan 001; Guimu Guo; Mirza Tanzim Sami; Joy Bhadhan Roy; Virginia P. Sisiopiku (IEEE BigData, 2021)

Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services. - Jalal Khalil; Da Yan 001; Guimu Guo; Mirza Tanzim Sami; Joy Bhadhan Roy; Virginia P. Sisiopiku (IEEE BigData, 2021)

An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). - Saugat Adhikari; Da Yan 001; Mirza Tanzim Sami; Jalal Khalil; Lyuheng Yuan; Bhadhan Roy Joy; Zhe Jiang 001; Arpan Man Sainju (SIGSPATIAL/GIS, 2022)

Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). - Jalal Khalil; Da Yan 001; Lyuheng Yuan; Mostafa Jafarzadehfadaki; Saugat Adhikari; Virginia P. Sisiopiku; Zhe Jiang 001 (SIGSPATIAL/GIS, 2022)

Maximal Directed Quasi -Clique Mining. - Guimu Guo; Da Yan 001; Lyuheng Yuan; Jalal Khalil; Cheng Long 001; Zhe Jiang 001; Yang Zhou 001 (ICDE, 2022)

Distributed Task-Based Training of Tree Models. - Da Yan 001; Md Mashiur Rahman Chowdhury; Guimu Guo; Jalal Khalil; Zhe Jiang 001; Sushil K. Prasad (ICDE, 2022)

Center-Based iPSC Colony Counting with Multi-Task Learning. - Mirza Tanzim Sami; Da Yan 001; Bhadhan Roy Joy; Jalal Khalil; Ricardo Cevallos; Md. Emon Hossain; Kejin Hu; Yang Zhou 001 (ICDM, 2022)

Parallel mining of large maximal quasi-cliques. - Jalal Khalil; Da Yan 001; Guimu Guo; Lyuheng Yuan (VLDB J., 2022)

G-thinker: a general distributed framework for finding qualified subgraphs in a big graph with load balancing. - Da Yan 001; Guimu Guo; Jalal Khalil; M. Tamer Özsu; Wei-Shinn Ku; John C. S. Lui (VLDB J., 2022)

T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph. - Lyuheng Yuan; Da Yan 001; Wenwen Qu; Saugat Adhikari; Jalal Khalil; Cheng Long 001; Xiaoling Wang 004 (Proc. ACM Manag. Data, 2023)

DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph. - Jalal Khalil; Akhlaque Ahmad; Da Yan 001; Lyuheng Yuan; Saugat Adhikari; Yang Zhou 001; Zhe Jiang 001 (CIKM, 2024)

FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. - Jalal Khalil; Da Yan 001; Lyuheng Yuan; Jiao Han; Saugat Adhikari; Cheng Long 001; Yang Zhou 001 (ICDE, 2024)

EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. - Mirza Tanzim Sami; Da Yan 001; Saugat Adhikari; Lyuheng Yuan; Jiao Han; Zhe Jiang 001; Jalal Khalil; Yang Zhou 001 (IJCAI, 2024)

G-Thinkerq: A General Subgraph Querying System With a Unified Task-Based Programming Model. - Lyuheng Yuan; Guimu Guo; Danshu Yan; Saugat Adhikari; Jalal Khalil; Cheng Long 001; Lei Zou 001 (IEEE Trans. Knowl. Data Eng., 2025)