activity
20202026
most citedConversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction

39 citations · 62 across the 22 of their papers we have counts for

collaborators

23 papers

cs.LG2026

SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting--Extended Version

Tuan-Binh Tran, Dat Nguyen Cong, Duc-Trong Le +2

Textual context such as news, reports, and logs can provide valuable signals for time series forecasting, especially when future dynamics are driven by external events that are not…

cs.CV2026

PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation

Tuan-Duc Nguyen, Anh-Tuan Mai, Duc-Trong Le

Segment Anything Model (SAM) has revolutionized promptable image segmentation with strong zero-shot generalization. However, its performance degrades substantially under real-world…

cs.CV2026

FR-DETR: Frequency and Recurrent Feature Refinement for Robust Object Detection under Adverse Weather

Tuan-Duc Nguyen, Duc-Trong Le

Object detection under adverse weather remains challenging due to severe visual degradations and domain shifts. Existing enhancer-based approaches attempt to improve detection by c…

cs.IR2026

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems

Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai +6

Counterfactual explanations (CEs) provide an intuitive way to understand recommender systems by identifying minimal modifications to user-item interactions that alter recommendatio…

cs.LG2026

Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction

Ha-Anh Hoang Nguyen, Tri-Duc Phan Le, Duc-Hoang Pham +4

This paper tackles the problem of time-to-event counterfactual survival prediction, aiming to optimize individualized survival outcomes in the presence of heterogeneity and censore…

cs.AI2026

Agentic Design Patterns: A System-Theoretic Framework

Minh-Dung Dao, Quy Minh Le, Hoang Thanh Lam +4

With the development of foundation model (FM), agentic AI systems are getting more attention, yet their inherent issues like hallucination and poor reasoning, coupled with the freq…