publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Task-aware Data Augmentation using Generative AI for Group-distributional Robustness
    Mahdi Erfanian, Boris Glavic, and Abolfazl Asudeh
    arXiv preprint arXiv:TBD, 2025
    Manuscript submitted for publication in SIGMOD 2026
  2. Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries
    Mahdi Erfanian, Mohsen Dehghankar, and Abolfazl Asudeh
    arXiv preprint arXiv:2412.00639, 2025
    Manuscript submitted for publication in ICLR 2025

2024

  1. An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks
    Mohsen Dehghankar, Mahdi Erfanian, and Abolfazl Asudeh
    In The 2025 International Conference on Machine Learning, 2024
    arXiv preprint arXiv:2411.06360
  2. Chameleon: Foundation Models for Fairness-Aware Multi-Modal Data Augmentation to Enhance Coverage of Minorities
    Mahdi Erfanian, H. V. Jagadish, and Abolfazl Asudeh
    Proceedings of the VLDB Endowment, 2024
    DOI
  3. FairEM360: A Suite for Responsible Entity Matching
    Nima Shahbazi, Mahdi Erfanian, Abolfazl Asudeh, and 2 more authors
    Proceedings of the VLDB Endowment, 2024
    DOI
  4. Coverage-based Data-centric Approaches for Responsible and Trustworthy AI
    Nima Shahbazi, Mahdi Erfanian, and Abolfazl Asudeh
    Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2024

2023

  1. Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing
    Vinicius Dias, Samuel Ferraz, Aditya Vadlamani, and 5 more authors
    In 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2023
    DOI