Qing He

Orcid: 0000-0002-1801-9901

Affiliations:
  • Guizhou University, Guiyang, Guizhou, China


According to our database1, Qing He authored at least 24 papers between 2016 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Token-level refined region-based framework for multimodal sentiment analysis.
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
Part-of-speech based label update network for aspect sentiment triplet extraction.
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

UAV Path Planning Based on an Improved Chimp Optimization Algorithm.
Axioms, July, 2023

Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction.
Frontiers Neurorobotics, June, 2023

2021
Part-level attention networks for cross-domain person re-identification.
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


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