Jiang Li
Orcid: 0000-0002-0116-5662Affiliations:
- Chongqing University, College of Computer Science, Chongqing, China
According to our database1,
Jiang Li
authored at least 16 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition.
IEEE Trans. Multim., 2024
GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection.
IEEE Trans. Affect. Comput., 2024
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy.
Knowl. Based Syst., 2024
A dual-stream recurrence-attention network with global-local awareness for emotion recognition in textual dialog.
Eng. Appl. Artif. Intell., 2024
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition.
CoRR, 2024
2023
GraphMFT: A graph network based multimodal fusion technique for emotion recognition in conversation.
Neurocomputing, 2023
Simple Model Also Works: A Novel Emotion Recognition Network in Textual Conversation Based on Curriculum Learning Strategy.
CoRR, 2023
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition.
CoRR, 2023
A Dual-Stream Recurrence-Attention Network with Global-Local Awareness for Emotion Recognition in Textual Dialogue.
CoRR, 2023
Towards Complex Real-World Safety Factory Inspection: A High-Quality Dataset for Safety Clothing and Helmet Detection.
CoRR, 2023
EmotionIC: Emotional Inertia and Contagion-driven Dependency Modelling for Emotion Recognition in Conversation.
CoRR, 2023
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
2021
A Novel Text Classification Approach based on Meta-path Similarities and Graph Neural Networks.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021
2020
Identifying Loners from Their Project Collaboration Records - A Graph-Based Approach.
Proceedings of the Knowledge Science, Engineering and Management, 2020
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020