most citedMultimodal Classification via Modal-Aware Interactive Enhancement

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Harmonized Tabular-Image Fusion via Gradient-Aligned Alternating Learning

Longfei Huang, Yang Yang

Multimodal tabular-image fusion is an emerging task that has received increasing attention in various domains. However, existing methods may be hindered by gradient conflicts betwe…

cs.LG2024★ 1 cited

Multimodal Classification via Modal-Aware Interactive Enhancement

Qing-Yuan Jiang, Zhouyang Chi, Yang Yang

Due to the notorious modality imbalance problem, multimodal learning (MML) leads to the phenomenon of optimization imbalance, thus struggling to achieve satisfactory performance. R…

cs.CV2024

Second Place Solution of WSDM2023 Toloka Visual Question Answering Challenge

Xiangyu Wu, Zhouyang Chi, Yang Yang +1

In this paper, we present our solution for the WSDM2023 Toloka Visual Question Answering Challenge. Inspired by the application of multimodal pre-trained models to various downstre…

cs.CV2024

TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt

Xiangyu Wu, Qing-Yuan Jiang, Yang Yang +3

The recent introduction of prompt tuning based on pre-trained vision-language models has dramatically improved the performance of multi-label image classification. However, some ex…

cs.CV2024

Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks

Yang Yang, Hongpeng Pan, Qing-Yuan Jiang +2

Multi-modal learning aims to enhance performance by unifying models from various modalities but often faces the "modality imbalance" problem in real data, leading to a bias towards…