| Apr 30, 2026 | Happy to share that our paper “Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach” was accepted to the IJCAI 2026 main conference! |
| Mar 27, 2026 | Excited to share that our paper “Vision Language Models for Scientific Image Analysis: An Evaluation Highlighting Opportunities and Challenges” was accepted to npj Computational Materials! |
| Mar 1, 2026 | Starting from March 2026, Minh-Hao Van began a new chapter at Google as an AI/ML engineer! |
| Dec 1, 2025 | Cheerful news from IEEE BigData 2025: three of our papers were accepted! |
| Nov 1, 2025 | Glad to share that our paper “Influence-based approaches for tumor classification in noisy brain MRI with deep learning and vision-language models” was accepted to JDSA! |
| Oct 3, 2025 | Three papers were accepted at NeurIPS workshops  (1) Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction, accepted at AI4Mat@NeurIPS; (2) CAGUL: Cross-Modal Attention Guided Unlearning in Vision-Language Models, accepted at LockLLM@NeurIPS; (3) A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation, accepted at Imageomics@NeurIPS |
| Jun 25, 2025 | Check out our new survey of AI for materials science, covering foundation models, LLM agents, datasets and tools to develop AI foundation models for materials science tasks A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools  |
| Jan 22, 2025 | One paper Soft Prompting for Unlearning in Large Language Models is accepted to main conference at NAACL-2025. Congratulations! |
| Jan 15, 2025 | I will server as reviewers for WWW’25, PAKDD’25 and IJCNN’25. |
| Sep 24, 2024 | Minh-Hao was awarded the Reginald R. ‘Barney’ & Jameson A. Baxter and EECS Graduate Fellowship for the academic year 2024-2025. Congratulations! |
| Jun 30, 2024 | Check out our new works on addressing machine unlearning in LLM via soft prompting Soft Prompting for Unlearning in Large Language Models and effective influence analysis for selecting in-context demonstration examples In-Context Learning Demonstration Selection via Influence Analysis |
| Mar 15, 2024 | One co-authored paper Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions was accepted at IJCNN’24. Congratulations! |
| Feb 16, 2024 | Our paper On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study was accepted at IEEE CHASE’24 as a short paper. Congratulations! Hao is awarded IEEE/ACM CHASE’24 NSF Student Travel Award to present his paper at the conference. Congratulations! |
| Jan 30, 2024 | Our paper Robust Influence-based Training Methods for Noisy Brain MRI was accepted at PAKDD’24 as a full paper with an oral presentation. Congratulations! |
| Sep 15, 2023 | Our paper HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks was accepted at 2023 IEEE International Conference on Data Minng as regular paper (acceptance rate 9.37%). Congratulations! [Code] |