183 citations · 364 across the 22 of their papers we have counts for
24 papers
ChemCLIR-Bench: Benchmarking Cross-Lingual Information Retrieval in Multilingual Chemical Patents
Mahdi Astaraki, Mohammad Khodadad, Reza Namazi +4
Cross-lingual information retrieval (CLIR) is increasingly important in multi-national industries, where critical technical evidence may exist in a different language than the quer…
GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation
Taraneh Ghandi, Hamidreza Mahyar, Shachar Klaiman
The use of knowledge graphs for grounding agents in real-world Q&A applications has become increasingly common. Answering complex queries often requires multi-hop reasoning and the…
When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering
Mahdi Astaraki, Mohammad Arshi Saloot, Ali Shiraee Kasmaee +2
Retrieval-Augmented Generation (RAG) extends large language models (LLMs) beyond parametric knowledge, yet it is unclear when iterative retrieval-reasoning loops meaningfully outpe…
Towards Domain Specification of Embedding Models in Medicine
Mohammad Khodadad, Ali Shiraee Kasmaee, Mahdi Astaraki +1
Medical text embedding models are foundational to a wide array of healthcare applications, ranging from clinical decision support and biomedical information retrieval to medical qu…
ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings
Ali Shiraee Kasmaee, Mohammad Khodadad, Mehdi Astaraki +5
Retrieval-Augmented Generation (RAG) systems in chemistry heavily depend on accurate and relevant retrieval of chemical literature. However, general-purpose text embedding models f…
Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case Study
Mohammad Khodadad, Ali Shiraee Kasmaee, Mahdi Astaraki +3
In this study, we introduced a new benchmark consisting of a curated dataset and a defined evaluation process to assess the compositional reasoning capabilities of large language m…
ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain
Ali Shiraee Kasmaee, Mohammad Khodadad, Mohammad Arshi Saloot +4
Recent advancements in language models have started a new era of superior information retrieval and content generation, with embedding models playing an important role in optimizin…
Deep Learning Approaches in Pavement Distress Identification: A Review
Sizhe Guan, Haolan Liu, Hamid R. Pourreza +1
This paper presents a comprehensive review of recent advancements in image processing and deep learning techniques for pavement distress detection and classification, a critical as…
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis
Mohammad Khodadad, Morteza Rezanejad, Ali Shiraee Kasmaee +3
The analysis of 3D point clouds has diverse applications in robotics, vision and graphics. Processing them presents specific challenges since they are naturally sparse, can vary in…
A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval
Saeideh Yousefzadeh, Hamidreza Pourreza, Hamidreza Mahyar
Content-based image retrieval is the process of retrieving a subset of images from an extensive image gallery based on visual contents, such as color, shape or spatial relations, a…
Contour Completion using Deep Structural Priors
Ali Shiraee, Morteza Rezanejad, Mohammad Khodadad +2
Humans can easily perceive illusory contours and complete missing forms in fragmented shapes. This work investigates whether such capability can arise in convolutional neural netwo…
D-CryptO: Deep learning-based analysis of colon organoid morphology from brightfield images
Lyan Abdul, Jocelyn Xu, Alexander Sotra +6
Stem cell-derived organoids are a promising tool to model native human tissues as they resemble human organs functionally and structurally compared to traditional monolayer cell-ba…
Autonomous Vehicles: Open-Source Technologies, Considerations, and Development
Oussama Saoudi, Ishwar Singh, Hamidreza Mahyar
Autonomous vehicles are the culmination of advances in many areas such as sensor technologies, artificial intelligence (AI), networking, and more. This paper will introduce the rea…
Multiple Sclerosis Lesions Segmentation using Attention-Based CNNs in FLAIR Images
Mehdi SadeghiBakhi, Hamidreza Pourreza, Hamidreza Mahyar
Objective: Multiple Sclerosis (MS) is an autoimmune, and demyelinating disease that leads to lesions in the central nervous system. This disease can be tracked and diagnosed using…
Deep Learning Approaches on Image Captioning: A Review
Taraneh Ghandi, Hamidreza Pourreza, Hamidreza Mahyar
Image captioning is a research area of immense importance, aiming to generate natural language descriptions for visual content in the form of still images. The advent of deep learn…
SMGRL: Scalable Multi-resolution Graph Representation Learning
Reza Namazi, Elahe Ghalebi, Sinead Williamson +1
Graph convolutional networks (GCNs) allow us to learn topologically-aware node embeddings, which can be useful for classification or link prediction. However, they are unable to ca…
Medial Spectral Coordinates for 3D Shape Analysis
Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar +4
In recent years there has been a resurgence of interest in our community in the shape analysis of 3D objects represented by surface meshes, their voxelized interiors, or surface po…
A Nonparametric Bayesian Model for Sparse Dynamic Multigraphs
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu +2
As the availability and importance of temporal interaction data--such as email communication--increases, it becomes increasingly important to understand the underlying structure th…
A Matrix Factorization Model for Hellinger-based Trust Management in Social Internet of Things
Soroush Aalibagi, Hamidreza Mahyar, Ali Movaghar +1
The Social Internet of Things (SIoT), integration of the Internet of Things and Social Networks paradigms, has been introduced to build a network of smart nodes that are capable of…
Compressive Closeness in Networks
Hamidreza Mahyar, Rouzbeh Hasheminezhad, H Eugene Stanley
Distributed algorithms for network science applications are of great importance due to today's large real-world networks. In such algorithms, a node is allowed only to have local i…
Sequential Edge Clustering in Temporal Multigraphs
Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu +2
Interaction graphs, such as those recording emails between individuals or transactions between institutions, tend to be sparse yet structured, and often grow in an unbounded manner…
HellRank: A Hellinger-based Centrality Measure for Bipartite Social Networks
Seyed Mohammad Taheri, Hamidreza Mahyar, Mohammad Firouzi +3
Measuring centrality in a social network, especially in bipartite mode, poses several challenges such as requirement of full knowledge of the network topology and lack of properly…
Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction
Seyed Mohammad Taheri, Hamidreza Mahyar, Mohammad Firouzi +3
Recommendation plays an increasingly important role in our daily lives. Recommender systems automatically suggest items to users that might be interesting for them. Recent studies…
Reverse triangle inequality in Hilbert -modules
M. Khosravi, H. Mahyar, M. S. Moslehian
We prove several versions of reverse triangle inequality in Hilbert -modules. We show that if are vectors in a Hilbert module over a -alge…