Below you can find a selected list; for a full list of my publications, please visit My Google Scholar.
Below you can find a selected list; for a full list of my publications, please visit My Google Scholar.
Anuj Singh, Sayak Mukherjee, Ahmad Beirami, Hadi Jamali-Rad, "CoDe: Blockwise Control for Denoising Diffusion Models", submitted to TMLR 2025. [arxiv][code]
Soroush Abbasi Koohpayegani*, Anuj Singh*, Navaneet Kadur, Hamed Pirsiavash, Hadi Jamali-Rad, "GeNIe: Generative Hard Negative Images Through Diffusion", submitted to TMLR 2025, 2024. [arxiv][code] (*: equal contributions)
Alin Dondera*, Anuj Singh*, H Jamali-Rad, "MAGMA: Manifold Regularization for MAEs" , to appear in WACV, 2025 [paper][code] (*: equal contributions)
Stylianous Poulkakis-Daktylidis, Hadi Jamali-Rad, "BECLR: Batch Enhanced Contrastive Unsupervised Few-Shot Learning", to appear in ICLR 2024 (Spotlight - top 5%). [paper][code]
Aritifical Intelligence System for Remote Sensing, US Patent, filed 2023.
Anuj Singh, Hadi Jamali-Rad, "Transductive Decoupled Variational Inference for Few-Shot Classification", accepted to appear in Transactions on ML Research (TMLR), 2023. [paper][code]
Ojas Shirekar, Anuj Singh, Hadi Jamali-Rad, "Self-Attention Message Passing for Contrastive Few-Shot Learning", WACV, 2023. (Finalist for the Best Paper Award ~top 1%) [Announcement][paper][code]
Sieger Falkena, Hadi Jamali-Rad, Jan van Gemert, "LAB: Learnable Activation Binarizer for Binary Neural Networks", WACV, 2023. [paper][code]
Ojas Shirekar, Hadi Jamali-Rad, "Self-Supervised Class-Cognizant Few-Shot Classification", IEEE ICIP, 2022. [arxiv][code][online]
Hadi Jamali-Rad, Mohammad Abdizadeh, Anuj Singh, "Federated Learning with Taskonomy for Non-IID Data", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [paper][supplementary][code]
H. Jamali-Rad, and X. Campman, “Method, Sensor and System for Wireless Seismic Networking”, EU and US Patent, Oct. 2021 (application in 2019). [Patent]
H. Jamali-Rad and A. Szabó “Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation”, Computer Vision and Image Understanding (CVIU), Elsevier, 2021. [Paper]
A. Szabó*, H. Jamali-Rad*, Siva-Datta Mannava, “Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation” accepted at CVPR workshop of responsible computer vision (RCV), June 2021. (*equal contributions) [Archival Paper][paper]
Hadi Jamali-Rad*, Mohammad Abdizadeh*, Attila Szabó "Federated Learning with Taskonomy", ICLR workshop on Distributed and Private Machine Learning (DPML), May 2021. (*equal contributions) (Best Paper Award) [paper] [slides] [award certificate]
H. Jamali-Rad, A. Szabó, M. Presutto, “Lookahead Adversarial Semantic Segmentation”, presented at ICML workshop on uncertainty and robustness in deep learning (UDL), July 2020. [Paper][Slides]
H. Jamali-Rad, V. van Beveren, X. Campman, J. van den Brand, and D. Hohl “Continuous Subsurface Tomography over the Cellular Internet of Things”, vol. 20, no. 17, pp. 10079-10091, 2020. [Paper]
H. Jamali-Rad, and X. Campman, “IoT-Based Wireless Networking for Seismic Applications”, Geophysical Prospecting (GP), vol. 66, 2018. [Paper]
H. Jamali-Rad, and X. Campman, “IoT-Based Wireless Seismic Quality Control”, The Leading Edge: Society of Exploration Geophysicists, vol. 37, no. 3, 2018. [Paper]
T. Park, H. Jamali-Rad, W. Oosterbosch, J. Limbeck, F. Lanz, C. Harris, E. Barbaro, K. Bisdom, and K. Nevenzeel, “Seasonality Analysis for Induced Seismicity Event Rate Time Series”, NAM/Shell Technical Report, Oct. 2018. [Paper]
J. Limbeck, F. Lanz, E. Barbaro, C. Harris, K. Bisdom, T. Park, W. Oosterbosch, H. Jamali-Rad, and K. Nevenzeel, “Evaluation of a Machine Learning methodology to forecast induced seismicity event rates”, NAM/Shell Technical Report, Aug. 2018. [Paper]
X. Campman, Z. Tang, H. Jamali-Rad, B. Kuvshinov, M. Danilouchkine, Y. Ji, W. Walk, and D. Smit, “Sparse Seismic Wavefield Sampling”, The Leading Edge: Society of Exploration Geophysicists, vol. 36, no. 8, pp. 654-660, 2017. [Paper]
A. Simonetto, H. Jamali-Rad, “Primal recovery from consensus-based dual decomposition for distributed convex optimization”, Journal of Optimization Theory and Applications (JOTA), vol. 168, no. 1, pp. 172-197, 2016. [Paper]
H. Jamali-Rad, B. Kuvshinov, Z. Tang, X. Campman, “Deterministically Subsampled Acquisition Geometries for Optimal Reconstruction” in Proc. of European Association of Geoscientists and Engineers (EAGE), May 2016. [Paper]
D. Ariananda, H. Jamali-Rad, Z. Tang, G. Leus, X. Campman, “Deterministic Fourier-based dictionary design for sparse reconstruction”, in Proc. of IEEE Sensor Array and Multichan. Sig. Proc. (SAM), 2016. [Paper]
H. Jamali-Rad, A. Simonetto, X. Ma, G. Leus, “Distributed Sparsity-Aware Sensor Selection”, IEEE Transactions on Signal Processing (TSP), vol, 63, no. 22, pp. 5951-5964, 2015. [Paper]
H. Jamali-Rad, Z. Tang, X. Campman, A. Droujinine, and G. Leus, “Sparsity-Aware Multiple Microseismic Event Localization Blind to the Source Time-Function”, Geophysical Prospecting (GP), vol. 63, no. 1, pp. 70-77, 2015. [Paper]
H. Jamali-Rad, H. Ramezani, and G. Leus, “Sparsity-Aware Multi-Source RSS Localization”, Elsevier Signal Processing (ESP), vol. 101, pp. 174-191, 2014. [Paper]
H. Jamali-Rad, A. Simonetto, and G. Leus, “Sparsity-Aware Sensor Selection: Centralized and Distributed Algorithms”, IEEE Signal Processing Letters (SPL), vol. 21, no. 2, pp. 217-220, 2014. [Paper]
H. Jamali-Rad and G. Leus, “Sparsity-Aware Multi-Source TDOA Localization”, IEEE Transactions on Signal Processing (TSP), vol. 61, no. 19, 2013. [Paper]
H. Ramezani, H. Jamali-Rad, and G. Leus, “Target Localization and Tracking for an Isogradient Sound Speed Profile”, IEEE Transactions on Signal Processing (TSP), vol. 61, no. 6, 2013. [Paper]
M. Abdizadeh, H. Jamali-Rad, and B. Abolhassani, “Optimal Power-Aware Relay Placement for Cooperative Wireless Sensor Networks”, in International Journal of Communication Systems (IJCS), vol. 26, no. 5, 2013. [Paper]
H. Jamali-Rad and G. Leus, “Dynamic Multidimensional Scaling for Low-Complexity Mobile Network Tracking”, IEEE Transactions on Signal Processing (TSP), vol. 60, no. 8, pp. 4485-4491, 2012. [Paper]
H. Jamali-Rad, H. Ramezani, and G. Leus, “Cooperative Localization in Partially Connected Mobile Wireless Sensor Networks Using Geometric Link Reconstruction”, in Proc. of IEEE Conf. on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012. [Paper]
H. Jamali-Rad, A. Amar, and G. Leus, “Cooperative Mobile Network Localization via Subspace Tracking”, to appear in Proc. of IEEE Conf. on Acoustics, Speech and Signal Processing (ICASSP), pp. 2612 - 2615, Prague, Czech Republic, May 2011. [Paper]
M. Abdizadeh, H. Jamali-Rad, and B. Abolhassani, “Joint Optimization of Power Allocation and Relay Deployment in Wireless Sensor Networks”, in Proc. of IEEE Wireless Communications and Networking Conference (WCNC), Sydney, 2010. [Paper]