Ashkan Panahi

Jiang, B., Huang, Y., Panahi, A., Yu, Y., Krim, H., & Smith, S. L. (2021). Dynamic Graph Learning: A Structure-Driven Approach. MATHEMATICS, 9(2). https://doi.org/10.3390/math9020168

Huang, Y., Panahi, A., Krim, H., & Dai, L. (2020). Community Detection and Improved Detectability in Multiplex Networks. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 7(3), 1697–1709. https://doi.org/10.1109/TNSE.2019.2949036

Ghanem, S., Panahi, A., Krim, H., & Kerekes, R. A. (2020). Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion. IEEE SENSORS JOURNAL, 20(20), 12307–12316. https://doi.org/10.1109/JSEN.2020.2999461

Tang, W., Panahi, A., Krim, H., & Dai, L. (2019). Analysis Dictionary Learning Based Classification: Structure for Robustness. IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(12), 6035–6046. https://doi.org/10.1109/TIP.2019.2919409

Mahdizadehaghdam, S., Panahi, A., Krim, H., & Dai, L. (2019). Deep Dictionary Learning: A PARametric NETwork Approach. IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(10), 4790–4802. https://doi.org/10.1109/TIP.2019.2914376

Mahdizadehaghdam, S., Panahi, A., & Krim, H. (2019). Sparse Generative Adversarial Network. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), pp. 3063–3071. https://doi.org/10.1109/ICCVW.2019.00369

Panahi, A., Bian, X., Krim, L., & Dai, L. (2018). Robust Subspace Clustering by Bi-sparsity Pursuit: Guarantees and Sequential Algorithm. 2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018), pp. 1302–1311. https://doi.org/10.1109/wacv.2018.00147

Panahi, A., & Viberg, M. (2017). Performance Analysis of Sparsity-Based Parameter Estimation. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 65(24), 6478–6488. https://doi.org/10.1109/tsp.2017.2755602