20 citations · 27 across the 10 of their papers we have counts for
11 papers
A Multi-Source Ensemble Approach to Candidate Generation for Alternative Vacation Rental Property Recommendations
Syed Mohammed Arshad Zaidi, Eric Rincon, Shayan Hassantabar
Alternative property recommendations play a critical role in vacation rental marketplaces, helping users discover relevant options when viewing a specific listing. However, generat…
HALLELUAI: A Hallucination-Aware AI System for Ultra-Realistic Image-to-Video Generation at Scale
Aniket Sakpal, Yang Jiang, Rouzbeh Davoudi +2
AI-generated video is increasingly used across marketing, product storytelling, and creative workflows, yet automated; high-precision quality control remains a major constraint to…
Serving the Long Tail: Training-Free LLM Candidate Generation for Vacation Rental Marketplaces
Syed Mohammed Arshad Zaidi, Eric Rincon, Shayan Hassantabar
Vacation rental marketplaces face a structural imbalance on the supply side: a small fraction of properties receive most user interactions, while the long tail of new, niche, and s…
Travel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs
Vignesh Ram Nithin Kappagantula, Shayan Hassantabar, Samuel Simpson +1
Large language models (LLMs) demonstrate broad reasoning abilities but struggle with accuracy and reliability in specialized domains such as travel, where reasoning depends on prec…
SweetDeep: A Wearable AI Solution for Real-Time Non-Invasive Diabetes Screening
Ian Henriques, Lynda Elhassar, Sarvesh Relekar +11
The global rise in type 2 diabetes underscores the need for scalable and cost-effective screening methods. Current diagnosis requires biochemical assays, which are invasive and cos…
Room Scene Discovery and Grouping in Unstructured Vacation Rental Image Collections
Vignesh Ram Nithin Kappagantula, Shayan Hassantabar
The rapid growth of vacation rental (VR) platforms has led to an increasing volume of property images, often uploaded without structured categorization. This lack of organization p…
MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks
Shayan Hassantabar, Joe Zhang, Hongxu Yin +1
Mental health problems impact quality of life of millions of people around the world. However, diagnosis of mental health disorders is a challenging problem that often relies on se…
TUTOR: Training Neural Networks Using Decision Rules as Model Priors
Shayan Hassantabar, Prerit Terway, Niraj K. Jha
The human brain has the ability to carry out new tasks with limited experience. It utilizes prior learning experiences to adapt the solution strategy to new domains. On the other h…
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks
Shayan Hassantabar, Novati Stefano, Vishweshwar Ghanakota +6
The novel coronavirus (SARS-CoV-2) has led to a pandemic. The current testing regime based on Reverse Transcription-Polymerase Chain Reaction for SARS-CoV-2 has been unable to keep…
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods
Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha
Neural networks (NNs) have been successfully deployed in many applications. However, architectural design of these models is still a challenging problem. Moreover, neural networks…
SCANN: Synthesis of Compact and Accurate Neural Networks
Shayan Hassantabar, Zeyu Wang, Niraj K. Jha
Deep neural networks (DNNs) have become the driving force behind recent artificial intelligence (AI) research. An important problem with implementing a neural network is the design…