Mingyuan Ge

Orcid: 0000-0002-4094-0078

According to our database1, Mingyuan Ge authored at least 14 papers between 2022 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
Enhanced-Similarity Attention Fusion for Unsupervised Cross-Modal Hashing Retrieval.
Data Sci. Eng., June, 2025

Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine.
CoRR, March, 2025

Ambiguity-Aware and High-order Relation learning for multi-grained image-text matching.
Knowl. Based Syst., 2025

Spatially-Aware Entity Relation Exploration for Remote Sensing Image-Text Retrieval.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Pseudo-label Based Unsupervised Momentum Representation Learning for Multi-domain Image Retrieval.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

JM-CLIP: A Joint Modal Similarity Contrastive Learning Model for Video-Text Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
CLIP-based fusion-modal reconstructing hashing for large-scale unsupervised cross-modal retrieval.
Int. J. Multim. Inf. Retr., June, 2023

CLIP-Based Adaptive Graph Attention Network for Large-Scale Unsupervised Multi-Modal Hashing Retrieval.
Sensors, April, 2023

CCAH: A CLIP-Based Cycle Alignment Hashing Method for Unsupervised Vision-Text Retrieval.
Int. J. Intell. Syst., 2023

Deep Enhanced-Similarity Attention Cross-modal Hashing Learning.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Adaptive Graph Attention Hashing for Unsupervised Cross-Modal Retrieval via Multimodal Transformers.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
Multimodal Emotion Recognition and State Analysis of Classroom Video and Audio Based on Deep Neural Network.
J. Interconnect. Networks, 2022

Modeling and Analysis of Learners' Emotions and Behaviors Based on Online Forum Texts.
Comput. Intell. Neurosci., 2022


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