Qing Cong

Orcid: 0000-0002-4492-9052

Affiliations:
  • Tianjin University, College of Intelligence and Computing, China


According to our database1, Qing Cong authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
DE3TC: Detecting Events with Effective Event Type Information and Context.
Neural Process. Lett., April, 2024

A Joint Model with Contextual and Speaker Information for Conversational Causal Emotion Entailment.
Proceedings of the International Joint Conference on Neural Networks, 2024

Event Detection Model Based on the Fusion of Hierarchical Syntactic and Type Semantic Features.
Proceedings of the International Joint Conference on Neural Networks, 2024

Generative Dual Representations Fusion Network for Document-level Event Argument Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
An interlayer feature fusion-based heterogeneous graph neural network.
Appl. Intell., November, 2023

BiLGAT: Bidirectional lattice graph attention network for chinese short text classification.
Appl. Intell., October, 2023

Chinese Medical Nested Named Entity Recognition Model Based on Feature Fusion and Bidirectional Lattice Embedding Graph.
Proceedings of the Database Systems for Advanced Applications, 2023

A Multi-level Network with Multi-feature Clause Pair Graph for Emotion Cause Pair Extraction.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
Clause Fusion-Based Emotion Embedding Model for Emotion-Cause Pair Extraction.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
A Novel Joint Model with Second-Order Features and Matching Attention for Aspect-Based Sentiment Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
MGL-CNN: A Hierarchical Posts Representations Model for Identifying Depressed Individuals in Online Forums.
IEEE Access, 2020

A Method for Decompensation Prediction in Emergency and Harsh Situations.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2018
LSTM with sentence representations for document-level sentiment classification.
Neurocomputing, 2018

Constructing Biomedical Knowledge Graph Based on SemMedDB and Linked Open Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

X-A-BiLSTM: a Deep Learning Approach for Depression Detection in Imbalanced Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018


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