Xinyi Zeng
Orcid: 0000-0003-4625-5474
According to our database1,
Xinyi Zeng authored at least 44 papers
between 2019 and 2026.
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Bibliography
2026
AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models.
CoRR, March, 2026
MGTP: Multi-Granularity Textual Prompts for Low-Dose Brain PET Image Denoising via Adversarial Diffusion Model.
IEEE J. Biomed. Health Informatics, January, 2026
Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced Interaction.
CoRR, January, 2026
DiffER: Diffusion Entity-Relation Modeling for Reversal Curse in Diffusion Large Language Models.
CoRR, January, 2026
InstructIVF: Degradation-aware fusion of infrared and visible images guided by diverse textual instructions.
Inf. Fusion, 2026
Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
PromptEmo: Learning Emotion with Bilateral Textual Prompts in Multi-Domain Open-set Scenarios.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Nomogram to predict the EGFR mutation status in stage III-IV solid lung adenocarcinoma patients.
BMC Medical Imaging, December, 2025
Adaptive Hardness-Driven Augmentation and Alignment Strategies for Multisource Domain Adaptations.
IEEE Trans. Neural Networks Learn. Syst., September, 2025
Multi-Modal Long-Short Distance Attention-Based Transformer-GAN for PET Reconstruction With Auxiliary MRI.
IEEE Trans. Circuits Syst. Video Technol., August, 2025
Resolving Task Objective Conflicts in Unified Multimodal Understanding and Generation via Task-Aware Mixture-of-Experts.
CoRR, June, 2025
Application and effect analysis of virtual reality technology in vocational education practical training.
Educ. Inf. Technol., May, 2025
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition.
CoRR, March, 2025
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations.
CoRR, January, 2025
RAIN: Reconstructed-aware in-context enhancement with graph denoising for session-based recommendation.
Neural Networks, 2025
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Incorporating the Refractory Period into Spiking Neural Networks through Spike-Triggered Threshold Dynamics.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Reversible Data Hiding Algorithm in Encrypted Images Based on Arithmetic Coding and Dual Prediction.
Proceedings of the Data Science, 2025
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Prior Knowledge-Guided Triple-Domain Transformer-GAN for Direct PET Reconstruction From Low-Count Sinograms.
IEEE Trans. Medical Imaging, December, 2024
Semi-supervised medical image segmentation via hard positives oriented contrastive learning.
Pattern Recognit., February, 2024
Neurocomputing, 2024
CoRR, 2024
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis.
CoRR, 2024
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Enhancing Hybrid CNN-Transformer via Frequency-Based Bridging for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
ResDSda_U-Net: A Novel U-Net-Based Residual Network for Segmentation of Pulmonary Nodules in Lung CT Images.
IEEE Access, 2023
CACDU-Net: A Novel DoubleU-Net Based Semantic Segmentation Model for Skin Lesions Detection in Images.
IEEE Access, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Statistical Inference of Truncated Normal Distribution Based on the Generalized Progressive Hybrid Censoring.
Entropy, 2021
2020
2019
Proceedings of the 2019 IEEE SmartWorld, 2019