Zhi-Hao Guan

2 accepted papers

2026

Anchor-Guided Gradient Alignment for Incomplete Multimodal Learning

CVPR 2026

Vision-language pre-training (VLP) has achieved remarkable performance across diverse multimodal learning (MML) tasks. Recently, many efforts have focused on reconstructing missing modalities to improve the adaptability of VLP models in incomplete MML scenarios. However, these approaches overlook th

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2025

Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better

Zhi-Hao Guan, Qing-Yuan Jiang, Yang Yang

IJCAI 2025

Multi-modal learning (MML) is frequently hindered by modality imbalance, leading to suboptimal performance in real-world applications. To address this issue, existing approaches primarily focus on rebalancing MML from the perspective of optimization or architecture design. However, almost all existi

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