Minh-Hao Van

According to our database, Minh-Hao Van authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools.

Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu

CoRR, June, 2025

Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models.

Minh-Hao Van, Xintao Wu

CoRR, May, 2025

Soft Prompting for Unlearning in Large Language Models.

Karuna Bhaila, Minh-Hao Van, Xintao Wu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Fair In-Context Learning via Latent Concept Variables.

Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu

CoRR, 2024

In-Context Learning Demonstration Selection via Influence Analysis.

Vinay M. S., Minh-Hao Van, Xintao Wu

CoRR, 2024

Robust Influence-Based Training Methods for Noisy Brain MRI.

Minh-Hao Van, Alycia N. Carey, Xintao Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions.

Alycia N. Carey, Minh-Hao Van, Xintao Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study.

Minh-Hao Van, Prateek Verma, Xintao Wu

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis.

Prateek Verma, Minh-Hao Van, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Detecting and Correcting Hate Speech in Multimodal Memes with Large Visual Language Model.

Minh-Hao Van, Xintao Wu

CoRR, 2023

HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks.

Minh-Hao Van, Alycia N. Carey, Xintao Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Poisoning Attacks on Fair Machine Learning.

Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu

Proceedings of the Database Systems for Advanced Applications, 2022

Defending Evasion Attacks via Adversarially Adaptive Training.

Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu

Proceedings of the IEEE International Conference on Big Data, 2022