Adaptive Noise Variance Estimation in BayesShrink. - Masoud Hashemi; Soosan Beheshti (IEEE Signal Process. Lett., 2010)

Noise Invalidation Denoising. - Soosan Beheshti; Masoud Hashemi; Xiao-Ping (Steven) Zhang; Nima Nikvand (IEEE Trans. Signal Process., 2010)

Mean Square Error Estimation in Thresholding. - Soosan Beheshti; Masoud Hashemi; Ervin Sejdic; Tom Chau (IEEE Signal Process. Lett., 2011)

BM3D mridenoising equipped with noise invalidation technique. - Pegah Elahi; Soosan Beheshti; Masoud Hashemi (ICASSP, 2014)

Adaptive Bayesian Denoising for General Gaussian Distributed Signals. - Masoud Hashemi; Soosan Beheshti (IEEE Trans. Signal Process., 2014)

Similarity Validation Based Nonlocal Means Image Denoising. - Mina Sharifymoghaddam; Soosan Beheshti; Pegah Elahi; Masoud Hashemi (IEEE Signal Process. Lett., 2015)

Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds. - Greg Kirczenow; Masoud Hashemi; Ali Fathi; Matt Davison 001 (CoRR, 2018)

PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards. - Masoud Hashemi; Ali Fathi (CoRR, 2020)

A multi-objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm. - Masoud Hashemi; Danial Javaheri; Parisa Sabbagh; Behdad Arandian; Karlo Abnoosian (IET Commun., 2021)

PUMA: Performance Unchanged Model Augmentation for Training Data Removal. - Ga Wu; Masoud Hashemi; Christopher Srinivasa (AAAI, 2022)

Scalable Whitebox Attacks on Tree-based Models. - Giuseppe Castiglione; Gavin Ding; Masoud Hashemi; Christopher Srinivasa; Ga Wu (CoRR, 2022)

Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages. - Hoang Nguyen; Khyati Mahajan; Vikas Yadav; Philip S. Yu; Masoud Hashemi; Rishabh Maheshwary (CoRR, 2024)

SynthCypher: A Fully Synthetic Data Generation Framework for Text-to-Cypher Querying in Knowledge Graphs. - Aman Tiwari; Shiva Krishna Reddy Malay; Vikas Yadav; Masoud Hashemi; Sathwik Tejaswi Madhusudhan (CoRR, 2024)

Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. - Nishanth Madhusudhan; Sathwik Tejaswi Madhusudhan; Vikas Yadav; Masoud Hashemi (COLING, 2025)

Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages. - Hoang Nguyen; Khyati Mahajan; Vikas Yadav; Julian Salazar; Philip S. Yu; Masoud Hashemi; Rishabh Maheshwary (NAACL (Long Papers), 2025)

Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework. - Aman Tiwari; Shiva Krishna Reddy Malay; Vikas Yadav; Masoud Hashemi; Sathwik Tejaswi Madhusudhan (NAACL (Short Papers), 2025)

Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance. - Bryan Etzine; Masoud Hashemi; Nishanth Madhusudhan; Sagar Davasam; Roshnee Sharma; Sathwik Tejaswi Madhusudhan; Vikas Yadav (CoRR, 2025)

DNA Bench: When Silence is Smarter - Benchmarking Over-Reasoning in Reasoning LLMs. - Masoud Hashemi; Oluwanifemi Bamgbose; Sathwik Tejaswi Madhusudhan; Jishnu Sethumadhavan Nair; Aman Tiwari; Vikas Yadav (CoRR, 2025)

Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA. - Rishabh Maheshwary; Masoud Hashemi; Khyati Mahajan; Shiva Krishna Reddy Malay; Sai Rajeswar; Sathwik Tejaswi Madhusudhan; Spandana Gella; Vikas Yadav (CoRR, 2025)

BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. - Ahmed Masry; Abhay Puri; Masoud Hashemi; Juan A. Rodríguez; Megh Thakkar; Khyati Mahajan; Vikas Yadav; Sathwik Tejaswi Madhusudhan; Alexandre Piché; Dzmitry Bahdanau; Christopher Pal; David Vázquez 001; et al. (CoRR, 2025)

Apriel-Nemotron-15B-Thinker. - Shruthan Radhakrishna; Soham Parikh; Gopal Sarda; Anil Turkkan; Quaizar Vohra; Raymond Li; Dhruv Jhamb; Kelechi Ogueji; Aanjaneya Shukla; Oluwanifemi Bamgbose; Toby Liang; Luke Kumar; et al. (CoRR, 2025)