You can also find my papers on Google Scholar or Semantic Scholar.

2024

[19] Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. [Paper]
A. Behrouz, Michele Santacatterina, Ramin Zabih.
Neural Information Processing Systems, NeurIPS 2024.

[18] Brain-mamba: Encoding Brain Activity via Selective State Space Models. [Paper] [Code]
A. Behrouz, F. Hashemi.
Conference on Health, Inference, and Learning, CHIL 2024. [Best Paper Award]

[17] Graph Mamba: Towards Learning on Graphs with State Space Models. [Paper] [Code]
A. Behrouz, F. Hashemi.
ACM Knowledge Discovery and Data Mining Conference, KDD 2024. [Featured by Hugging Face]

[16] A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement. [Paper] [Code]
F. Hashemi, A. Behrouz.
ACM Knowledge Discovery and Data Mining Conference, KDD 2024.

[15] Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity. [Paper]
A. Behrouz, P. Delavari, F. Hashemi.
International Conference on Machine Learning, ICML 2024. Also, presented in AI4Science NeurIPS Workshop 2023.

[14] MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection. [Paper]
A. Behrouz, Michele Santacatterina, Ramin Zabih.
Under Review, 2024.

2023

[13] CAT-Walk: Inductive Hypergraph Learning via Set Walks. [Paper] [Code]
A. Behrouz, F. Hashemi, S. Sadeghian, M. Seltzer.
Neural Information Processing Systems, NeurIPS 2023.

[12] Learning Temporal Higher-order Patterns to Detect Anomalous Brain Activity.
A. Behrouz, F. Hashemi.
Machine Learning for Health Conference, ML4H 2023. [Oral Talk]

[11] Generalized Densest Subgraph in Multiplex Networks. [Paper] [Code]
A. Behrouz, F. Hashemi.
Conference on Complex Networks & Their Applications, CNA 2023. [Oral Talk]

[10] ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks. [Paper] [Code]
A. Behrouz, M. Seltzer.
ICML Interpretable Machine Learning in Healthcare Workshop, IMLH 2023. [Best Paper Award]

[9] Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks. [Paper] [Code] [Video]
A. Behrouz, M. Seltzer.
Machine Learning for Healthcare, MLHC 2023. [Spotlight Talk]

[8] CS-TGN: Community Search via Temporal Graph Neural Networks. [Paper] [Code]
F. Hashemi, A. Behrouz, M. Rezaei Hajidehi.
Companion Proceedings of the Web Conference, WWW 2023.

[7] FirmTruss Community Search in Multilayer Networks. [Paper] [Code]
A. Behrouz, F. Hashemi, L. V.S. Lakshmanan.
International Conference on Very Large Databases, VLDB 2023.

2022

[6] Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction. [Paper] [Code]
A. Behrouz, M. Seltzer.
NeurIPS 2022 Temporal Graph Learning Workshop. [Spotlight Talk]

[5] Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design. [Paper]
A. Behrouz, M. L'ecuyer, C. Rudin, M. Seltzer.
Advances in Interpretable Machine Learning Workshop in CIKM 2022.

[4] CS-MLGCN: Multiplex Graph Convolutional Neural Network for Community Search in Multiplex Networks. [Paper]
A. Behrouz, F. Hashemi.
Conference on Information and Knowledge Management, CIKM 2022. [Best Paper Honorable Mention Award]

[3] FirmCore Decomposition of Multilayer Networks. [Paper] [Code]
F. Hashemi, Ali Behrouz, L. V.S. Lakshmanan.
The ACM Web Conference, WWW 2022.

2020

[2] Green Space and Happiness of Developed Countries. [Paper]
F Hashemi, Ali Behrouz, J. Yang, D.Y. Wohn, M. Cha.
IEEE International Conference on Big Data and Smart Computing 2020.

2018

[1] Secure Credit Reporting on the Blockchain. [Paper]
A. K. Goharshady, Ali Behrouz, K. Chatterjee.
IEEE Blockchain 2018.