Secure Credit Reporting on the Blockchain. - Amir Kafshdar Goharshady; Ali Behrouz; Krishnendu Chatterjee (iThings/GreenCom/CPSCom/SmartData, 2018)

Green Space and Happiness of Developed Countries. - Seyedeh Farnoosh Hashemi Fesharaki; Ali Behrouz; Jeasurk Yang; Donghee Yvette Wohn; Meeyoung Cha (BigComp, 2020)

CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks. - Ali Behrouz; Farnoosh Hashemi (CIKM, 2022)

Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design. - Ali Behrouz; Mathias Lécuyer; Cynthia Rudin; Mango I. Seltzer (CIKM Workshops, 2022)

FirmCore Decomposition of Multilayer Networks. - Farnoosh Hashemi; Ali Behrouz; Laks V. S. Lakshmanan (WWW, 2022)

Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design. - Ali Behrouz; Mathias Lécuyer; Cynthia Rudin; Margo I. Seltzer (CoRR, 2022)

Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction. - Ali Behrouz; Margo I. Seltzer (CoRR, 2022)

FirmTruss Community Search in Multilayer Networks. - Ali Behrouz; Farnoosh Hashemi; Laks V. S. Lakshmanan (Proc. VLDB Endow., 2022)

Generalized Densest Subgraph in Multiplex Networks. - Ali Behrouz; Farnoosh Hashemi (COMPLEX NETWORKS (3), 2023)

Learning Temporal Higher-order Patterns to Detect Anomalous Brain Activity. - Ali Behrouz; Farnoosh Hashemi (ML4H@NeurIPS, 2023)

Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks. - Ali Behrouz; Margo I. Seltzer (MLHC, 2023)

CAT-Walk: Inductive Hypergraph Learning via Set Walks. - Ali Behrouz; Farnoosh Hashemi; Sadaf Sadeghian; Margo I. Seltzer (NeurIPS, 2023)

CS-TGN: Community Search via Temporal Graph Neural Networks. - Farnoosh Hashemi; Ali Behrouz; Milad Rezaei Hajidehi (WWW (Companion Volume), 2023)

Brain-Mamba: Encoding Brain Activity via Selective State Space Models. - Ali Behrouz; Farnoosh Hashemi (CHIL, 2024)

Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity. - Ali Behrouz; Parsa Delavari; Farnoosh Hashemi (ICML, 2024)

Graph Mamba: Towards Learning on Graphs with State Space Models. - Ali Behrouz; Farnoosh Hashemi (KDD, 2024)

A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement. - Farnoosh Hashemi; Ali Behrouz (KDD, 2024)

Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. - Ali Behrouz; Michele Santacatterina; Ramin Zabih (NeurIPS, 2024)

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection. - Ali Behrouz; Michele Santacatterina; Ramin Zabih (CoRR, 2024)

Best of Both Worlds: Advantages of Hybrid Graph Sequence Models. - Ali Behrouz; Ali Parviz; Mahdi Karami; Clayton Sanford; Bryan Perozzi; Vahab Mirrokni (CoRR, 2024)

Titans: Learning to Memorize at Test Time. - Ali Behrouz; Peilin Zhong; Vahab Mirrokni (CoRR, 2025)

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization. - Ali Behrouz; Meisam Razaviyayn; Peilin Zhong; Vahab Mirrokni (CoRR, 2025)

ATLAS: Learning to Optimally Memorize the Context at Test Time. - Ali Behrouz; Zeman Li; Praneeth Kacham; Majid Daliri; Yuan Deng; Peilin Zhong; Meisam Razaviyayn; Vahab Mirrokni (CoRR, 2025)