هادی زارع

1. DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction

Rafiee Zade Hossein، Zare Hadi، Ghassemi Parsa Mohsen، Davardoost Hadi، Shariat Bagheri Meshkat (2024)., 13th International Conference on Complex Networks and Their Applications, 10-12 November, Istanbul, Turkey.

2. Uncertainty Quantification to Enhance Probabilistic-Fusion-Based User Identification Using Smartphones

Ahmadian Rouhollah، Ghatee Mehdi، Wahlstrom Johan، Zare Hadi (2024)., IEEE Internet of Things Journal, 11(20), 33450-33458.

3. Constrained Utility Driven Graph Summarization

Azizi Shadie، Zare Hadi، Hosseinalizadeh Sasan (2024)., 11-th International Symposium on Telecommunication, 9-10 October, Tehran, Iran.

4. Temporal dynamics unleashed: Elevating variational graph attention

Molaei Soheila، Niknam Shirvan Ghazaleh، Ghosheh Ghadeer، Kumar Chauhan Vinod، Zare Hadi، Zhu Tingting، Pan Shirui، Clifton David (2024)., KNOWLEDGE-BASED SYSTEMS, 299(-), 112110.

5. Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks

Molaei Soheila، Thakur Anshul، Niknam Shirvan Ghazaleh، Soltan Andrew، Zare Hadi، Clifton David (2024)., The 27th International Conference on Artificial Intelligence and Statistics, 8-10 May, Valencia, Spain.

1. DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks

Niknam Shirvan Ghazaleh، Molaei Soheila، Zare Hadi، Jalili Mahdi، Pan Shirui، Zhu Tingting، Clifton David (2023)., NEURAL NETWORKS, 165(1), 596-610.

2. BuB: a builder-booster model for link prediction on knowledge graphs

Soltanshahi Mohammad Ali، Teimourpour Babak، Zare Hadi (2023)., Applied Network Science, 8(1).

1. Graph representation learning based on deep generative gaussian mixture models

Niknam Shirvan Ghazaleh، Molaei Soheila، Zare Hadi، Clifton David، Pan Shirui (2022)., NEUROCOMPUTING, 523(1), 157-169.

2. Low-rank dictionary learning for unsupervised feature selection

Ghassemi Parsa Mohsen، Zare Hadi، Ghatee Mehdi (2022)., EXPERT SYSTEMS WITH APPLICATIONS, 202(1), 117149.

1. GrAR: A novel framework for Graph Alignment based on Relativity concept

Soltanshahi Ali، Teimourpour Babak، Khatibi Toktam، Zare Hadi (2022)., EXPERT SYSTEMS WITH APPLICATIONS, 187(1), 115908.

2. Deep node clustering based on mutual information maximization

Molaei Soheila، Ghanbari Bousejin Nima، Zare Hadi، Jalili Mahdi (2021)., NEUROCOMPUTING, 455(1), 274-282.

3. PODCD: Probabilistic overlapping dynamic community detection

Bahadori Sondos، Zare Hadi، Moradi Parham (2021)., EXPERT SYSTEMS WITH APPLICATIONS, 174(1), 114650.

4. Manifold Approximation and Projection by Maximizing Graph Information

Fatemi Bahare، Molaei Soheila، Zare Hadi، Shirui Pan (2021)., the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), 11-14 May, New Delhi, India.

1. Classification of audio codecs with variable bit-rates using deep-learning methods

Khodadadi Atieh، Molaei Soheila، Teimouri Mehdi، Zare Hadi (2021)., DIGITAL SIGNAL PROCESSING, 110(102952), 102952.

2. Collaborative Deep Forest Learning for Recommender Systems

Molaei Soheila، Havvaei Amirhossein، Zare Hadi، Jalili Mahdi (2021)., IEEE Access, 9(1), 22053-22061.

3. Learning Graph Representations With Maximal Cliques

Molaei Soheila، Ghanbari Bousejin Nima، Zare Hadi، Jalili Mahdi، Pan Shirui (2021)., IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 1(1), 1-8.

4. Similarity Preserving Unsupervised Feature Selection based on Sparse Learning

Zare Hadi، Ghassemi Parsa Mohsen، Ghatee Mehdi، Hosseinalizadeh Sasan (2020)., 2020 10th International Symposium on Telecommunications (IST), 15-17 December.

5. Relaxing Pairwise Conditional Dependency of NB Attributes using Hidden Variables

Hosseinalizadeh Sasan، Shiri Nima، Hediehloo Alireza، Zare Hadi (2020)., 2020 10th International Symposium on Telecommunications (IST), 15-17 December.

6. Unsupervised Feature Selection Based on Low Dimensional Embedding and Subspace Learning

Zare Hadi، Ghassemi Parsa Mohsen، Ghatee Mahdi، Hosseinalizadeh Sasan (2020)., International Journal of Information and Communication Technology Research (IJICTR), 12(3), 38-46.

7. An improved limited random walk approach for identification of overlapping communities in complex networks

Bahadori Sondos، Moradi Parham، Zare Hadi (2020)., APPLIED INTELLIGENCE, 1(1).

8. Deep Learning approach for text, image, and GIF multimodal sentiment analysis

Shirzad Amirhossein، Zare Hadi، Teimouri Mehdi (2020)., 10th International Conference on Computer and Knowledge Engineering (ICCKE2020), 29-30 October, Mashhad, Iran.

9. Attributed Graph Clustering via Deep Adaptive Graph Maximization

Fatemi Bahare، Molaei Soheila، Zare Hadi، Veisi Hadi (2020)., 10th International Conference on Computer and Knowledge Engineering (ICCKE2020), 29-30 October, Mashhad, Iran.

10. Unsupervised feature selection based on adaptive similarity learning and subspace clustering

Ghassemi Parsa Mohsen، Zare Hadi، Ghatee Mehdi (2020)., ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 95(9), 103855.

1. Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach

Zare Hadi، Hajiabadi Mahdi، Jalili Mahdi (2020)., IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1(1), 1-1.

2. Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications

Bijari Keyvan، Zare Hadi، Kebriaei Emad، Veisi Hadi (2019)., EXPERT SYSTEMS WITH APPLICATIONS, 1(1).