Minh-Hao Van

26 papers A* 1B 7Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation.
IEEE Big Data
Prateek Verma, Minh-Hao Van, Christopher McEnaney, Ashtyn Le, Amy R. Poe, Xintao Wu
2025 J jnl
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools.
CoRR
Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu
2025 J jnl
Cross-Modal Attention Guided Unlearning in Vision-Language Models.
CoRR
Karuna Bhaila, Aneesh Komanduri, Minh-Hao Van, Xintao Wu
2025 J jnl
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models.
CoRR
Minh-Hao Van, Xintao Wu
2025 B conf
Fair In-Context Learning via Latent Concept Variables.
IEEE Big Data
Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu
2025 B conf
Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction.
IEEE Big Data
An Vuong, Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu
2025 J jnl
Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction.
CoRR
An Vuong, Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu
2025 J jnl
Influence-based approaches for tumor classification in noisy brain MRI with deep learning and vision-language models.
Int. J. Data Sci. Anal.
Minh-Hao Van, Alycia N. Carey, Xintao Wu
2025 — conf
Soft Prompting for Unlearning in Large Language Models.
NAACL (Long Papers)
Karuna Bhaila, Minh-Hao Van, Xintao Wu
2024 B conf
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis.
IEEE Big Data
Prateek Verma, Minh-Hao Van, Xintao Wu
2024 J jnl
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis.
CoRR
Prateek Verma, Minh-Hao Van, Xintao Wu
2024 B conf
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions.
IJCNN
Alycia N. Carey, Minh-Hao Van, Xintao Wu
2024 J jnl
Fair In-Context Learning via Latent Concept Variables.
CoRR
Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu
2024 J jnl
In-Context Learning Demonstration Selection via Influence Analysis.
CoRR
Vinay M. S., Minh-Hao Van, Xintao Wu
2024 B conf
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study.
CHASE
Minh-Hao Van, Prateek Verma, Xintao Wu
2024 J jnl
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study.
CoRR
Minh-Hao Van, Prateek Verma, Xintao Wu
2024 — conf
Robust Influence-Based Training Methods for Noisy Brain MRI.
PKDD (4)
Minh-Hao Van, Alycia N. Carey, Xintao Wu
2024 J jnl
Robust Influence-based Training Methods for Noisy Brain MRI.
CoRR
Minh-Hao Van, Alycia N. Carey, Xintao Wu
2024 J jnl
Soft Prompting for Unlearning in Large Language Models.
CoRR
Karuna Bhaila, Minh-Hao Van, Xintao Wu
2023 J jnl
Detecting and Correcting Hate Speech in Multimodal Memes with Large Visual Language Model.
CoRR
Minh-Hao Van, Xintao Wu
2023 J jnl
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions.
CoRR
Alycia N. Carey, Minh-Hao Van, Xintao Wu
2023 A* conf
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks.
ICDM
Minh-Hao Van, Alycia N. Carey, Xintao Wu
2023 J jnl
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks.
CoRR
Minh-Hao Van, Alycia N. Carey, Xintao Wu
2022 B conf
Defending Evasion Attacks via Adversarially Adaptive Training.
IEEE Big Data
Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu
2022 — conf
Poisoning Attacks on Fair Machine Learning.
DASFAA (1)
Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu
2021 J jnl
Poisoning Attacks on Fair Machine Learning.
CoRR
Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu