publications

full list of publications

2025

  1. arXiv
    A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
    Minh-Hao Van, Prateek Verma, Chen Zhao, and 1 more author
    arXiv preprint arXiv:2506.20743, 2025
  2. JDSA
    Influence-based approaches for tumor classification in noisy brain MRI with deep learning and vision-language models
    Minh-Hao Van, Alycia N Carey, and Xintao Wu
    International Journal of Data Science and Analytics, 2025
  3. NAACL’25
    Soft prompting for unlearning in large language models
    Karuna Bhaila, Minh-Hao Van, and Xintao Wu
    Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025

2024

  1. arXiv
    Fair In-Context Learning via Latent Concept Variables
    Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, and 3 more authors
    arXiv preprint arXiv:2411.02671, 2024
  2. IJCNN’24
    Evaluating the impact of local differential privacy on utility loss via influence functions
    Alycia N Carey, Minh-Hao Van, and Xintao Wu
    In 2024 International Joint Conference on Neural Networks (IJCNN), 2024
  3. CHASE’24
    On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
    Minh-Hao Van, Prateek Verma, and Xintao Wu
    arXiv preprint arXiv:2402.14162, 2024
  4. arXiv
    In-Context Learning Demonstration Selection via Influence Analysis
    S Vinay M, Minh-Hao Van, and Xintao Wu
    arXiv e-prints, 2024
  5. PAKDD’24
    Robust Influence-Based Training Methods for Noisy Brain MRI
    Minh-Hao Van, Alycia N Carey, and Xintao Wu
    In Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2024

2023

  1. Defactify@AAAI’24
    Detecting and correcting hate speech in multimodal memes with large visual language model
    Minh-Hao Van, and Xintao Wu
    arXiv preprint arXiv:2311.06737, 2023
  2. ICDM’23
    HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks
    Minh-Hao Van, Alycia N Carey, and Xintao Wu
    In 2023 IEEE International Conference on Data Mining (ICDM), 2023

2022

  1. BigData’22
    Defending evasion attacks via adversarially adaptive training
    Minh-Hao Van, Wei Du, Xintao Wu, and 2 more authors
    In 2022 IEEE International Conference on Big Data (Big Data), 2022
  2. DASFAA’22
    Poisoning attacks on fair machine learning
    Minh-Hao Van, Wei Du, Xintao Wu, and 1 more author
    In International Conference on Database Systems for Advanced Applications, 2022

2019

  1. ACOMP’19
    Predicting Cryptocurrency Price Movements Based on Social Media
    Van Minh Hao, Nguyen Huynh Huy, Bo Dao, and 2 more authors
    In 2019 International Conference on Advanced Computing and Applications (ACOMP), 2019