Xiaomin Yu — accepted AI-conference papers

2026

Controlling Decision Drift in Multimodal Sentiment Analysis with Missing Modalities

Chenglizhao Chen, Yuchen Cao, Xinyu Liu, Mengke Song, Guisheng Zhang, Xiaomin Yu

IJCAI 2026

Multimodal sentiment analysis relies on textual, acoustic, and visual signals, yet real-world data often suffer from modality missing and quality imbalance. Existing methods generate features for modality missing from available ones, but differences in expression mechanisms and sentiment dynamics ac

Cited by 0 Scholar ↗

2025

SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning

Yang Liu, Ming Ma, Xiaomin Yu, Pengxiang Ding, Han Zhao, Mingyang Sun +2

NeurIPS 2025poster

Despite impressive advancements in Visual-Language Models (VLMs) for multi-modal tasks, their reliance on RGB inputs limits precise spatial understanding. Existing methods for integrating spatial cues, such as point clouds or depth, either require specialized sensors or fail to effectively exploit d…

Cited by 0 Source ↗code ↗Scholar ↗