136 citations · 483 across the 11 of their papers we have counts for
11 papers
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition
Jiang Li, Xiaoping Wang, Zhigang Zeng
Multimodal emotion recognition in conversation (MERC) has garnered substantial research attention recently. Existing MERC methods face several challenges: (1) they fail to fully ha…
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy
Jiang Li, Xiaoping Wang, Yingjian Liu +1
Emotion recognition in conversation (ERC) has emerged as a research hotspot in domains such as conversational robots and question-answer systems. How to efficiently and adequately…
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition
Jiang Li, Xiaoping Wang, Yingjian Liu +1
Multimodal emotion recognition in conversation (ERC) has garnered growing attention from research communities in various fields. In this paper, we propose a Cross-modal Fusion Netw…
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog
Jiang Li, Xiaoping Wang, Zhigang Zeng
In real-world dialog systems, the ability to understand the user's emotions and interact anthropomorphically is of great significance. Emotion Recognition in Conversation (ERC) is…
Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
Fusheng Yu, Jiang Li, Xiaoping Wang +3
Detecting safety clothing and helmets is paramount for ensuring the safety of construction workers. However, the development of deep learning models in this domain has been impeded…
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
Yingjian Liu, Jiang Li, Xiaoping Wang +1
Emotion Recognition in Conversation (ERC) has attracted growing attention in recent years as a result of the advancement and implementation of human-computer interface technologies…
InferEM: Inferring the Speaker's Intention for Empathetic Dialogue Generation
Guoqing Lv, Jiang Li, Xiaoping Wang +1
Current approaches to empathetic response generation typically encode the entire dialogue history directly and put the output into a decoder to generate friendly feedback. These me…
GraphMFT: A Graph Network based Multimodal Fusion Technique for Emotion Recognition in Conversation
Jiang Li, Xiaoping Wang, Guoqing Lv +1
Multimodal machine learning is an emerging area of research, which has received a great deal of scholarly attention in recent years. Up to now, there are few studies on multimodal…
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition
Jiang Li, Xiaoping Wang, Guoqing Lv +1
Emotion Recognition in Conversation (ERC) plays a significant part in Human-Computer Interaction (HCI) systems since it can provide empathetic services. Multimodal ERC can mitigate…
GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection
Jiang Li, Xiaoping Wang, Guoqing Lv +1
Multimodal Emotion Recognition in Conversation (ERC) plays an influential role in the field of human-computer interaction and conversational robotics since it can motivate machines…
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis
Jiahao Zheng, Sen Zhang, Xiaoping Wang +1
Multimodal sentiment analysis (MSA) is a fundamental complex research problem due to the heterogeneity gap between different modalities and the ambiguity of human emotional express…