Shiqiang Ma
Orcid: 0009-0004-2329-5873
According to our database1,
Shiqiang Ma authored at least 26 papers
between 2011 and 2026.
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Bibliography
2026
EdgeCLIP: Injecting Edge-Awareness Into Visual-Language Models for Zero-Shot Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., March, 2026
Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
PharmaQA: Prompt-Based Molecular Representation Learning via Pharmacophore-Oriented Question Answering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
MPCM-RRG: Multi-modal Prompt Collaboration Mechanism for Radiology Report Generation.
J. Biomed. Informatics, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
MolInterAct: Multiscale Cross-Modal Interaction for Robust Molecular Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation.
Expert Syst. Appl., March, 2024
Aggregate-aware model with bidirectional edge generation for medical image segmentation.
Appl. Soft Comput., 2024
SiamSegNet: A multimodal Segmentation Method Based on Cross-modal Generation for Medical Image Segmentation.
Proceedings of the Database Systems for Advanced Applications, 2024
2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation.
CoRR, 2022
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation.
CoRR, 2022
Bioinform., 2022
Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
GEU-Net: Rethinking the information transmission in the skip connection of U-Net architecture.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
MIASNet: A medical image segmentation method predicting future based on past and current cases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2018
The impact of fear of the sea on working memory performance: a research based on virtual reality.
Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 2018
2011
Proceedings of the Advances in Computer Science, 2011