Fardin Akhlaghian Tab

VLDB 2026 Research / reviewers in the wild / expert

dblp:59/3317 · DBLP profile ↗

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31ranked-venue papers

2as first author

22since 2021 · last 2026

0000-0002-0300-9233ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 22 · 1 first-author · 17 since 2021Databases, data management, data science and information retrieval · 4 · 4 since 2021Graphics, computer vision, multimedia, augmented reality and games · 4 · 1 first-author · 1 since 2021Security and privacy · 1

Year	Publication	Venue	Position
2026	A secure deep image watermarking model using patch-based embedding and conditional mechanism Ako Bartani, Sahar Karimi, Hoshang Qasim Awla, Fardin Akhlaghian Tab	Eng. Appl. Artif. Intell.	4
2026	Robust asymmetric encoder-decoder nonnegative matrix factorization for hyperspectral anomaly detection Shirin Moradi, Seyed Amjad Seyedi, Wafa Barkhoda, Fardin Akhlaghian Tab	Neurocomputing	4
2026	Distributionally robust nonnegative matrix factorization with self-paced adaptive multi-loss fusion Wafa Barkhoda, Seyed Amjad Seyedi, Nicolas Gillis, Fardin Akhlaghian Tab	Inf. Sci.	4
2026	Robust log-based multi-label feature selection with dynamic label correlation and relevance-redundancy optimization Mohammad Faraji, Seyed Amjad Seyedi, Fardin Akhlaghian Tab	Knowl. Based Syst.	3
2026	Hierarchical anchor-guided contrastive learning with heterogeneous GNN for multi-view clustering Ali Takrar, Fardin Akhlaghian Tab, Alireza Abdollahpouri	Knowl. Based Syst.	2
2026	Instance-wise distributionally robust nonnegative matrix factorization Wafa Barkhoda, Seyed Amjad Seyedi, Nicolas Gillis, Fardin Akhlaghian Tab	Pattern Recognit.	4
2026	Contrastive calibration on consensus and complementary multi-view representations Negin Jabari, Seyed Amjad Seyedi, Reza Mahmoodi, Fardin Akhlaghian Tab	Pattern Recognit.	4
2026	Encoder-Decoder nonnegative matrix factorization with β-divergence for data clustering Sayvan Soleymanbaigi, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Fatemeh Daneshfar	Pattern Recognit.	3
2025	Mediating between filter and wrapper via probabilistic models, A hybrid feature selection framework for multi-label data Barzan Saeedpour, Fardin Akhlaghian Tab, Mohsen Ramezani, Eghbal Hosseini	Eng. Appl. Artif. Intell.	2
2025	A new bi-level deep human action representation structure based on the sequence of sub-actions Fardin Akhlaghian Tab, Mohsen Ramezani, Hadi Afshoon, Seyed Amjad Seyedi, Atefeh Moradyani	Neural Comput. Appl.	1
2024	Enhancing link prediction through adversarial training in deep Nonnegative Matrix Factorization Reza Mahmoodi, Seyed Amjad Seyedi, Alireza Abdollahpouri, Fardin Akhlaghian Tab	Eng. Appl. Artif. Intell.	4
2024	Multi-label feature selection with global and local label correlation Mohammad Faraji, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Reza Mahmoodi	Expert Syst. Appl.	3
2024	Unsupervised feature selection using orthogonal encoder-decoder factorization Maryam Mozafari, Seyed Amjad Seyedi, Rojiar Pir Mohammadiani, Fardin Akhlaghian Tab	Inf. Sci.	4
2024	Robust deep image-watermarking method by a modified Siamese network Ako Bartani, Fardin Akhlaghian Tab, Alireza Abdollahpouri, Mohsen Ramezani	Neural Comput. Appl.	2
2024	Deep asymmetric nonnegative matrix factorization for graph clustering Akram Hajiveiseh, Seyed Amjad Seyedi, Fardin Akhlaghian Tab	Pattern Recognit.	3
2023	Deep Autoencoder-like NMF with Contrastive Regularization and Feature Relationship Preservation Navid Salahian, Fardin Akhlaghian Tab, Seyed Amjad Seyedi, Jovan Chavoshinejad	Expert Syst. Appl.	2
2023	Elastic adversarial deep nonnegative matrix factorization for matrix completion Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Abdulrahman Lotfi, Navid Salahian, Jovan Chavoshinejad	Inf. Sci.	2
2023	Link prediction by adversarial Nonnegative Matrix Factorization Reza Mahmoodi, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Alireza Abdollahpouri	Knowl. Based Syst.	3
2023	Self-supervised semi-supervised nonnegative matrix factorization for data clustering Jovan Chavoshinejad, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Navid Salahian	Pattern Recognit.	3
2022	An adaptive optic-physic based dust removal method using optimized air-light and transfer function Ako Bartani, Alireza Abdollahpouri, Mohsen Ramezani, Fardin Akhlaghian Tab	Multim. Tools Appl.	4
2021	A novel extreme learning machine based kNN classification method for dealing with big data Amin Shokrzade, Mohsen Ramezani, Fardin Akhlaghian Tab, Mahmud Abdulla Mohammad	Expert Syst. Appl.	3
2021	A new generalized collaborative filtering approach on sparse data by extracting high confidence relations between users Mohsen Ramezani, Fardin Akhlaghian Tab, Alireza Abdollahpouri, Mahmud Abdulla Mohammad	Inf. Sci.	2
2019	Self-Paced Multi-Label Learning with Diversity abstract The major challenge of learning from multi-label data has arisen from the overwhelming size of label space which makes this problem NP-hard. This problem can be alleviated by gradually involving easy to hard tags into the learning process. Besides, the utilization of a diversity maintenance approach avoids overfitting on a subset of easy labels. In this paper, we propose a self-paced multi-label learning with diversity (SPMLD) which aims to cover diverse labels with respect to its learning pace. In addition, the proposed framework is applied to an efficient correlation-based multi-label method. The non-convex objective function is optimized by an extension of the block coordinate descent algorithm. Empirical evaluations on real-world datasets with different dimensions of features and labels imply the effectiveness of the proposed predictive model. Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian Tab, Mahdi Jalili, Parham Moradi	ACML	3
2019	Hybrid fast unsupervised feature selection for high-dimensional data Zhaleh Manbari, Fardin Akhlaghian Tab, Chiman Salavati	Expert Syst. Appl.	2
2019	A highly robust and secure image watermarking based on classification and visual cryptography Ali Fatahbeygi, Fardin Akhlaghian Tab	J. Inf. Secur. Appl.	2
2019	Fast unsupervised feature selection based on the improved binary ant system and mutation strategy Zhaleh Manbari, Fardin Akhlaghian Tab, Chiman Salavati	Neural Comput. Appl.	2
2018	A new robust video watermarking algorithm based on SURF features and block classification Zhila Bahrami, Fardin Akhlaghian Tab	Multim. Tools Appl.	2
2015	Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm Fardin Ahmadizar, Khabat Soltanian, Fardin Akhlaghian Tab, Ioannis G. Tsoulos	Eng. Appl. Artif. Intell.	3
2014	An unsupervised feature selection algorithm based on ant colony optimization Sina Tabakhi, Parham Moradi, Fardin Akhlaghian Tab	Eng. Appl. Artif. Intell.	3
2009	Retina Identification Based on the Pattern of Blood Vessels Using Angular and Radial Partitioning Mehran Deljavan Amiri, Fardin Akhlaghian Tab, Wafa Barkhoda	ACIVS	2
2006	Scalable multiresolution color image segmentation Fardin Akhlaghian Tab, Golshah Naghdy, Alfred Mertins	Signal Process.	1