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20242026
most citedAdvancing Depression Detection on Social Media Platforms Through Fine-Tuned Large Language Models

2 citations · 2 across the 5 of their papers we have counts for

collaborators

7 papers

quant-ph2026

How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection

Syeda Anshrah Gillani, Mirza Samad Ahmed Baig, Shahid Munir Shah +2

Quantum machine learning (QML) for network intrusion detection (NIDS) is routinely reported to reach near-perfect accuracy, yet the most rigorous studies find that well-tuned class…

cs.CV2026

SISA-Rec: A Semantically Integrated Sequential Recommender with Contrastive Alignment

Soohan Abbasi, Shahid Munir Shah, Rafia Shaikh +1

Recommendation systems help users recommend relevant items from a large collection of choices. Present work on transformer-based sequential recommendation learns user preferences f…

cs.CV2025

TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision

Syeda Anshrah Gillani, Mirza Samad Ahmed Baig, Osama Ahmed Khan +3

The modern text-to-image diffusion models boom has opened a new era in digital content production as it has proven the previously unseen ability to produce photorealistic and styli…

cs.CV2025

AttentionDrop: A Novel Regularization Method for Transformer Models

Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Abdul Akbar Khan +2

Transformer-based architectures achieve state-of-the-art performance across a wide range of tasks in natural language processing, computer vision, and speech processing. However, t…

cs.CV2024

AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models

Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Shahid Munir Shah +3

Visual impairment affects the ability of people to live a life like normal people. Such people face challenges in performing activities of daily living, such as reading, writing, t…

eess.IV2024

A Hybrid Approach for COVID-19 Detection: Combining Wasserstein GAN with Transfer Learning

Sumera Rounaq, Shahid Munir Shah, Mahmoud Aljawarneh

COVID-19 is extremely contagious and its rapid growth has drawn attention towards its early diagnosis. Early diagnosis of COVID-19 enables healthcare professionals and government a…