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20242026
most citedImproving Multimodal Sentiment Analysis via Modality Optimization and Dynamic Primary Modality Selection

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

cs.CV2026

Improving Multimodal Sentiment Analysis via Modality Optimization and Dynamic Primary Modality Selection

Dingkang Yang, Mingcheng Li, Xuecheng Wu +5

Multimodal Sentiment Analysis (MSA) aims to predict sentiment from language, acoustic, and visual data in videos. However, imbalanced unimodal performance often leads to suboptimal…

cs.CV2025

Forging a Dynamic Memory: Retrieval-Guided Continual Learning for Generalist Medical Foundation Models

Zizhi Chen, Yizhen Gao, Minghao Han +4

Multimodal biomedical Vision-Language Models (VLMs) exhibit immense potential in the field of Continual Learning (CL). However, they confront a core dilemma: how to preserve fine-g…

cs.CV2025

MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang +2

Adversarial Robustness Distillation (ARD) is a promising task to boost the robustness of small-capacity models with the guidance of the pre-trained robust teacher. The ARD can be s…

cs.CL2025

Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators

Dingkang Yang, Dongling Xiao, Jinjie Wei +4

Despite their remarkable capabilities, Large Language Models (LLMs) are prone to generate responses that contradict verifiable facts, i.e., unfaithful hallucination content. Existi…

cs.AI2024

Debiased Multimodal Understanding for Human Language Sequences

Zhi Xu, Dingkang Yang, Mingcheng Li +5

Human multimodal language understanding (MLU) is an indispensable component of expression analysis (e.g., sentiment or humor) from heterogeneous modalities, including visual postur…