4 citations · 8 across the 6 of their papers we have counts for
6 papers
Beyond Interpretability: Exploring the Comprehensibility of Adaptive Video Streaming through Large Language Models
Lianchen Jia, Chaoyang Li, Ziqi Yuan +4
Over the past decade, adaptive video streaming technology has witnessed significant advancements, particularly driven by the rapid evolution of deep learning techniques. However, t…
OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios
Ziqi Yuan, Baozheng Zhang, Hua Xu +2
We present OpenVNA, an open-source framework designed for analyzing the behavior of multimodal language understanding systems under noisy conditions. OpenVNA serves as an intuitive…
Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis
Huisheng Mao, Baozheng Zhang, Hua Xu +2
Improving model robustness against potential modality noise, as an essential step for adapting multimodal models to real-world applications, has received increasing attention among…
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module
Yihe Liu, Ziqi Yuan, Huisheng Mao +7
Multimodal sentiment analysis (MSA), which supposes to improve text-based sentiment analysis with associated acoustic and visual modalities, is an emerging research area due to its…
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
Huisheng Mao, Ziqi Yuan, Hua Xu +3
M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It aims to facilitate advanced research by providing flexible toolkits, reliable benchmarks, and intuitive dem…
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Wenmeng Yu, Hua Xu, Ziqi Yuan +1
Representation Learning is a significant and challenging task in multimodal learning. Effective modality representations should contain two parts of characteristics: the consistenc…