Thao Minh Le

According to our database, Thao Minh Le authored at least 27 papers between 2019 and 2026.

Collaborative distances:

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

2026

Confident and Trustworthy Model for Fidgety Movement Classification.

Romero F. A. B. de Morais, Thao Minh Le, Truyen Tran, Caroline Alexander, Natasha Amery, Catherine Morgan, Alicia J. Spittle, Vuong Le, Nadia Badawi, Alison Salt, Jane Valentine, Catherine Elliott, Elizabeth M. Hurrion, Paul A. Dawson, Svetha Venkatesh

IEEE J. Biomed. Health Informatics, May, 2026

Continual Safety Alignment via Gradient-Based Sample Selection.

Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran

CoRR, April, 2026

Curvature-Aware Safety Restoration In LLMs Fine-Tuning.

Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran

Trans. Mach. Learn. Res., 2026

Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning.

Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Deep Alignment Through The Lens Of Incomplete Learning.

Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran

CoRR, November, 2025

Universal Multi-Domain Translation via Diffusion Routers.

Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, Thin Nguyen

CoRR, October, 2025

Towards Agentic AI for Multimodal-Guided Video Object Segmentation.

Tuyen Tran, Thao Minh Le, Truyen Tran

CoRR, August, 2025

Finding the Trigger: Causal Abductive Reasoning on Video Events.

Thao Minh Le, Vuong Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran

CoRR, January, 2025

amVAE: Age-aware multimorbidity clustering using variational autoencoders.

Nikolaj Normann Holm, Thao Minh Le, Anne Frølich, Ove Andersen, Helle Gybel Juul-Larsen, Anders Stockmarr, Svetha Venkatesh

Comput. Biol. Medicine, 2025

Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos.

Tuyen Tran, Thao Minh Le, Quang-Hung Le, Truyen Tran

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models.

Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le, Truyen Tran, Thao Minh Le

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models.

Quang-Hung Le, Long Hoang Dang, Ngan Le, Truyen Tran, Thao Minh Le

CoRR, 2024

Unified Framework with Consistency across Modalities for Human Activity Recognition.

Tuyen Tran, Thao Minh Le, Hung Tran, Truyen Tran

CoRR, 2024

SADL: An Effective In-Context Learning Method for Compositional Visual QA.

Long Hoang Dang, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran

CoRR, 2024

Unified Compositional Query Machine with Multimodal Consistency for Video-based Human Activity Recognition.

Tuyen Tran, Thao Minh Le, Duy Hung Tran, Truyen Tran

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Guiding Visual Question Answering with Attention Priors.

Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction.

Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Deep Neural Networks for Visual Reasoning.

Thao Minh Le

CoRR, 2022

Video Dialog as Conversation About Objects Living in Space-Time.

Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

Int. J. Comput. Vis., 2021

From Deep Learning to Deep Reasoning.

Truyen Tran, Vuong Le, Hung Le, Thao Minh Le

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Object-Centric Representation Learning for Video Question Answering.

Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran

Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering.

Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Neural Reasoning, Fast and Slow, for Video Question Answering.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dynamic Language Binding in Relational Visual Reasoning.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hierarchical Conditional Relation Networks for Video Question Answering.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Reason with Relational Video Representation for Question Answering.

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

CoRR, 2019