Generating Time-Varying Road Network Data Using Sparse Trajectories. - Elif Eser; Furkan Kocayusufoglu; Bahaeddin Eravci; Hakan Ferhatosmanoglu; Josep Lluís Larriba-Pey (ICDM Workshops, 2016)

Summarizing Network Processes with Network-Constrained Boolean Matrix Factorization. - Furkan Kocayusufoglu; Minh X. Hoang; Ambuj K. Singh (ICDM, 2018)

RiSER: Learning Better Representations for Richly Structured Emails. - Furkan Kocayusufoglu; Ying Sheng 002; Nguyen Vo; James B. Wendt; Qi Zhao; Sandeep Tata; Marc Najork (WWW, 2019)

DANR: Discrepancy-aware Network Regularization. - Hongyuan You; Furkan Kocayusufoglu; Ambuj K. Singh (SDM, 2020)

Combining Physics and Machine Learning for Network Flow Estimation. - Arlei Lopes da Silva; Furkan Kocayusufoglu; Saber Jafarpour; Francesco Bullo; Ananthram Swami; Ambuj K. Singh (ICLR, 2021)

Learning with Richly Structured Data - Furkan Kocayusufoglu (2021)

FlowGEN: A Generative Model for Flow Graphs. - Furkan Kocayusufoglu; Arlei Silva; Ambuj K. Singh (KDD, 2022)

Multi-Resolution Attention for Personalized Item Search. - Furkan Kocayusufoglu; Tao Wu; Anima Singh; Georgios Roumpos; Heng-Tze Cheng; Sagar Jain; Ed H. Chi; Ambuj K. Singh (WSDM, 2022)