Mehrdad Fazli

According to our database, Mehrdad Fazli authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

VeriSim: A Configurable Framework for Evaluating Medical AI Under Realistic Patient Noise.

Sina Mansouri, Mohit Marvania, Vibhavari Ashok Shihorkar, Han Ngoc Tran, Kazhal Shafiei, Mehrdad Fazli, Yikuan Li, Ziwei Zhu

CoRR, April, 2026

Context-Aware Decoding for Faithful Vision-Language Generation.

Mehrdad Fazli, Bowen Wei, Ziwei Zhu

CoRR, January, 2026

CAAC: Confidence-Aware Attention Calibration to Reduce Hallucinations in Large Vision-Language Models.

Mehrdad Fazli, Bowen Wei, Ahmet Sari, Ziwei Zhu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification.

Bowen Wei, Mehrdad Fazli, Ziwei Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration.

Mehrdad Fazli, Bowen Wei, Ziwei Zhu

CoRR, May, 2025

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification.

Bowen Wei, Mehrdad Fazli, Ziwei Zhu

CoRR, May, 2025

2023

Competitive pricing under local network effects.

Ali Tavasoli, Mehrdad Fazli, Ehsan Ardjmand, William A. Young II, Heman Shakeri

Eur. J. Oper. Res., December, 2023

Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models.

Ezequiel Juarez Garcia, Victoria R. Rodrigues, Mehrdad Fazli, Laura E. Barnes, Nicholas J. Napoli

Proceedings of the 26th International Conference on Information Fusion, 2023

Leveraging Deep Learning to Improve COVID-19 Forecasting Using Wastewater Viral Load.

Mehrdad Fazli, Heman Shakeri

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study.

Mehrdad Fazli, Heman Shakeri

CoRR, 2022

2021

Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak.

Mehrdad Fazli, Samuel Sklar, Michael D. Porter, Brent A. French, Heman Shakeri

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

HHAR-net: Hierarchical Human Activity Recognition using Neural Networks.

Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab

Proceedings of the Intelligent Human Computer Interaction, 2020