activity
20222025
most citedGraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition

136 citations · 478 across the 12 of their papers we have counts for

collaborators

12 papers

cs.LG2025

Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between Proteins

Jiang Li, Xiaoping Wang

Protein-protein interaction (PPI) prediction is an instrumental means in elucidating the mechanisms underlying cellular operations, holding significant practical implications for t…

cs.CL2024★ 2 cited

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…

cs.CL2023

Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement

Shanglin Lei, Xiaoping Wang, Guanting Dong +2

Emotion Recognition in Conversation (ERC) has attracted widespread attention in the natural language processing field due to its enormous potential for practical applications. Exis…

cs.CL2023★ 13 cited

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…

cs.CL2023★ 71 cited

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…

cs.CL2023★ 13 cited

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…

cs.CV2023★ 1 cited

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…

cs.CL2023★ 14 cited

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…

cs.CL2022★ 1 cited

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…

cs.MM2022★ 115 cited

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…

cs.CL2022★ 136 cited

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…

cs.MM2022★ 112 cited

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…