39 citations · 47 across the 16 of their papers we have counts for
16 papers
Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition
Phuong-Anh Nguyen, The-Son Le, Duc-Trong Le +1
Multimodal Emotion Recognition in Conversations (MERC) is a crucial task for understanding human interactions, where multimodal approaches integrating language, facial expressions,…
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…
BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates
Phuong-Anh Nguyen, Tien Anh Pham, Duc-Trong Le +1
Learning from multiple modalities often suffers from imbalance, where information-rich modalities dominate optimization while weaker or partially missing modalities contribute less…
MissBench: Benchmarking Multimodal Affective Analysis under Imbalanced Missing Modalities
Tien Anh Pham, Phuong-Anh Nguyen, Duc-Trong Le +1
Multimodal affective computing underpins key tasks such as sentiment analysis and emotion recognition. Standard evaluations, however, often assume that textual, acoustic, and visua…
Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
Anh-Tuan Mai, Cam-Van Thi Nguyen, Duc-Trong Le
Multimodal emotion recognition in conversation (MERC) requires representations that effectively integrate signals from multiple modalities. These signals include modality-specific…
Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation
Van-Khang Nguyen, Duc-Hoang Pham, Huy-Son Nguyen +3
Recommendation systems have faced significant challenges in cold-start scenarios, where new items with a limited history of interaction need to be effectively recommended to users.…
Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation
Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Thi Nguyen +2
Bundle recommendation aims to recommend a set of items to each user. However, the sparser interactions between users and bundles raise a big challenge, especially in cold-start sce…
TECO: Improving Multimodal Intent Recognition with Text Enhancement through Commonsense Knowledge Extraction
Quynh-Mai Thi Nguyen, Lan-Nhi Thi Nguyen, Cam-Van Thi Nguyen
The objective of multimodal intent recognition (MIR) is to leverage various modalities-such as text, video, and audio-to detect user intentions, which is crucial for understanding…
Comparative Opinion Mining in Product Reviews: Multi-perspective Prompt-based Learning
Hai-Yen Thi Nguyen, Cam-Van Thi Nguyen
Comparative reviews are pivotal in understanding consumer preferences and influencing purchasing decisions. Comparative Quintuple Extraction (COQE) aims to identify five key compon…
A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis
Nguyen Van Doan, Dat Tran Nguyen, Cam-Van Thi Nguyen
Multimodal Aspect-Based Sentiment Analysis (MABSA) combines text and images to perform sentiment analysis but often struggles with irrelevant or misleading visual information. Exis…
Ada2I: Enhancing Modality Balance for Multimodal Conversational Emotion Recognition
Cam-Van Thi Nguyen, The-Son Le, Anh-Tuan Mai +1
Multimodal Emotion Recognition in Conversations (ERC) is a typical multimodal learning task in exploiting various data modalities concurrently. Prior studies on effective multimoda…
Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning
Huy-Son Nguyen, Tuan-Nghia Bui, Long-Hai Nguyen +4
Bundle recommendation aims to enhance business profitability and user convenience by suggesting a set of interconnected items. In real-world scenarios, leveraging the impact of asy…
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
Cam-Van Thi Nguyen, Cao-Bach Nguyen, Quang-Thuy Ha +1
Emotion recognition in conversation (ERC) is a crucial task in natural language processing and affective computing. This paper proposes MultiDAG+CL, a novel approach for Multimodal…
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization
Cam-Van Thi Nguyen, Ngoc-Hoa Thi Nguyen, Duc-Trong Le +1
Multimodal representation learning poses significant challenges in capturing informative and distinct features from multiple modalities. Existing methods often struggle to exploit…
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
Cam-Van Thi Nguyen, Anh-Tuan Mai, The-Son Le +2
Emotion recognition is a crucial task for human conversation understanding. It becomes more challenging with the notion of multimodal data, e.g., language, voice, and facial expres…
Vietnamese multi-document summary using subgraph selection approach -- VLSP 2022 AbMuSu Shared Task
Huu-Thin Nguyen, Tam Doan Thanh, Cam-Van Thi Nguyen
Document summarization is a task to generate afluent, condensed summary for a document, andkeep important information. A cluster of documents serves as the input for multi-document…