activity
20232026
most citedLearning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data Scenarios

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

ASCNet: Research on all-sky camera images classification at the Muztagh-ata site

Siqi Wang, Qi Fan, Wenbo Gu +6

Cloud coverage is one of the crucial elements of site testing in astronomy. All-sky camera (ASC) images are beneficial for our research on cloud coverage. In this paper, we propose…

cs.LG2025

Hardness-Aware Dynamic Curriculum Learning for Robust Multimodal Emotion Recognition with Missing Modalities

Rui Liu, Haolin Zuo, Zheng Lian +2

Missing modalities have recently emerged as a critical research direction in multimodal emotion recognition (MER). Conventional approaches typically address this issue through miss…

cs.CV2024★ 1 cited

Leveraging Retrieval Augment Approach for Multimodal Emotion Recognition Under Missing Modalities

Qi Fan, Hongyu Yuan, Haolin Zuo +2

Multimodal emotion recognition utilizes complete multimodal information and robust multimodal joint representation to gain high performance. However, the ideal condition of full mo…

cs.SD2024

Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled Samples

Qi Fan, Yutong Li, Yi Xin +3

The Multimodal Emotion Recognition challenge MER2024 focuses on recognizing emotions using audio, language, and visual signals. In this paper, we present our submission solutions f…

cs.CV2023★ 3 cited

Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data Scenarios

Qi Fan, Haolin Zuo, Rui Liu +2

Multimodal emotion recognition (MER) in practical scenarios is significantly challenged by the presence of missing or incomplete data across different modalities. To overcome these…