Qing He
Orcid: 0000-0002-1801-9901Affiliations:
- Guizhou University, Guiyang, Guizhou, China
According to our database1,
Qing He authored at least 24 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Pattern Recognit., 2026
Multimodal summarization via coarse-and-fine granularity synergy and region counterfactual reasoning filter.
Knowl. Based Syst., 2026
Relational region-driven network with contrastive learning for explicit and implicit aspect sentiment triplet extraction.
Knowl. Based Syst., 2026
EmoDNCL+: Dual-stream negative-sample-free contrastive learning with neurophysiological augmentation for EEG emotion recognition.
J. King Saud Univ. Comput. Inf. Sci., 2026
TCTR: Text-Guided Contrastive Learning with Token-Level Reconstruction Network for missing modalities in multimodal sentiment analysis.
Inf. Fusion, 2026
Target-agnostic and target-aware features for cross-lingual cross-target stance detection.
Neurocomputing, 2026
Soft-triplet-graph with dual contrastive learning for aspect sentiment triplet extraction.
Expert Syst. Appl., 2026
SH-ETRs:Learning Soft-Hard rules with entity type constraints for document-level relation extraction.
Expert Syst. Appl., 2026
DCIN: A dual-channel interactive network with progressive fusion for aspect-based sentiment analysis.
Appl. Soft Comput., 2026
2025
GLEM: a global-local enhancement method for fine-grained image recognition with attention erasure and multi-view cropping.
J. King Saud Univ. Comput. Inf. Sci., 2025
Dependency-augmented graph aggregation networks for document-level relation extraction with cross-sentence semantics.
J. King Saud Univ. Comput. Inf. Sci., 2025
Implicit expression recognition enhanced table-filling for aspect sentiment triplet extraction.
Neurocomputing, 2025
Adaptive soft contrastive with mutual information for biological time series representation learning.
Expert Syst. Appl., 2025
Aspect-based sentiment analysis with semantic and syntactic enhanced multi-layer fusion model.
Eng. Appl. Artif. Intell., 2025
Fusing temporal-frequency information with Contrast Learning on Graph Convolution Network to decoding EEG.
Biomed. Signal Process. Control., 2025
Real-PiCO: Partial label learning with contrasting label disambiguation for EEG emotion recognition in Real-World scenarios.
Biomed. Signal Process. Control., 2025
2024
J. King Saud Univ. Comput. Inf. Sci., January, 2024
APSO-CNN-SE: An Adaptive Convolutional Neural Network Approach for IoT Intrusion Detection.
Comput. Mater. Continua, 2024
2023
Multi-Strategy Enhanced Dung Beetle Optimizer and Its Application in Three-Dimensional UAV Path Planning.
Symmetry, July, 2023
Axioms, July, 2023
Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction.
Frontiers Neurorobotics, June, 2023
2021
IET Image Process., 2021
2017
A Novel DBSCAN Based on Binary Local Sensitive Hashing and Binary-KNN Representation.
Adv. Multim., 2017
2016
A new spectrum allocation algorithm based on game theory in cognitive radio networks.
Int. J. Sens. Networks, 2016