publications

full list of publications

2026

  1. npjCM
    Vision language models for scientific image analysis: an evaluation highlighting opportunities and challenges
    Prateek Verma, Minh-Hao Van, and Xintao Wu
    npj Computational Materials, 2026

2025

  1. NAACL’25
    Soft prompting for unlearning in large language models
    Karuna Bhaila, Minh-Hao Van, and Xintao Wu
    2025
  2. BigData’25
    Fair in-context learning via latent concept variables
    Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, and 3 more authors
    In 2025 IEEE International Conference on Big Data (BigData), 2025
  3. arXiv
    Detecting and mitigating hateful content in multimodal memes with vision-language models
    Minh-Hao Van, and Xintao Wu
    arXiv preprint arXiv:2505.00150, 2025
  4. 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
  5. PhDThesis
    Adversarial Machine Learning: Methods for Attacks and Defenses
    Minh Hao Van
    University of Arkansas, 2025
  6. 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
  7. arXiv
    Cross-Modal Attention Guided Unlearning in Vision-Language Models
    Karuna Bhaila, Aneesh Komanduri, Minh-Hao Van, and 1 more author
    arXiv preprint arXiv:2510.07567, 2025
  8. BigData’25
    A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
    Prateek Verma, Minh-Hao Van, Christopher McEnaney, and 3 more authors
    In 2025 IEEE International Conference on Big Data (BigData), 2025
  9. arXiv
    Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction
    An Vuong, Minh-Hao Van, Prateek Verma, and 2 more authors
    arXiv preprint arXiv:2511.05577, 2025

2024

  1. arXiv
    In-Context Learning Demonstration Selection via Influence Analysis
    S Vinay M, Minh-Hao Van, and Xintao Wu
    arXiv e-prints, 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. 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
  4. BigData’24
    Beyond human vision: The role of large vision language models in microscope image analysis
    Prateek Verma, Minh-Hao Van, and Xintao Wu
    In 2024 IEEE International Conference on Big Data (BigData), 2024
  5. CHASE’24
    On large visual language models for medical imaging analysis: An empirical study
    Minh-Hao Van, Prateek Verma, and Xintao Wu
    In 2024 IEEE/ACM conference on connected health: applications, systems and engineering technologies (CHASE), 2024

2023

  1. 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
  2. arXiv
    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

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

2020

  1. AIIT’20
    Deepvix: Explaining long short-term memory network with high dimensional time series data
    Tommy Dang, Hao Van, Huyen Nguyen, and 2 more authors
    In Proceedings of the 11th international conference on advances in information technology, 2020

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
  2. BigData’19
    Hackernets: Visualizing media conversations on internet of things, big data, and cybersecurity
    Hao Van, Huyen N Nguyen, Rattikorn Hewett, and 1 more author
    In 2019 IEEE International Conference on Big Data (Big Data), 2019

  1. ICLR’26
    Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
    An Vuong, Minh-Hao Van, Chen Zhao, and 1 more author
    In AI for Accelerated Materials Design-ICLR 2026, 2019
  2. SSRN
    Selecting In-Context Learning Demonstrations Via Influence Analysis
    Vinay MS, Minh-Hao Van, and Xintao Wu
    Available at SSRN 5133763, 2019