Journal Articles

• Shi, Y., Huang, D., Liu, J., Qu, J., Tang, W., 2026. Joint pluralistic generation and realistic inpainting of occluded facial images. Pattern Recognition, 179.
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• Liu, J., Huang, D., Shi, Y., Qu, J., 2025. MonoNeRF-DDP: Neural radiance fields from monocular endoscopic images with dense depth priors. Computers and Graphics, 133.
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• Qu, J., Huang, D., Shi, Y., Liu, J., Tang, W., 2025. Entropy-aware dynamic path selection network for multi-modality medical image fusion. Information Fusion, 123.
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• Huang, D., Shi, Y., Qu, J., Liu, J., Tang, W., 2025. Hi3DFace: High-Realistic 3D Face Reconstruction From a Single Occluded Image. Computer Graphics Forum, 44 (6).
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• Qu, J., Huang, D., Shi, Y., Liu, J., Tang, W., 2025. Diffusion-driven multi-modality medical image fusion. Medical and Biological Engineering and Computing, 63 (7), 2105-2118.
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• Liu, J., Shi, Y., Huang, D., Qu, J., 2025. Neural Radiance Fields for High-Fidelity Soft Tissue Reconstruction in Endoscopy. Sensors, 25 (2).
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• Huang, D., Shi, Y., Liu, J., Tang, W., 2024. Self-supervised learning for fine-grained monocular 3D face reconstruction in the wild. Multimedia Systems, 30 (4).
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• Ning, X., Li, Y., Feng, Z., Liu, J., Ding, Y., 2024. An Efficient Multi-Scale Attention Feature Fusion Network for 4K Video Frame Interpolation. Electronics Switzerland, 13 (6).
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• Huang, D., Liu, J., Shi, Y., Li, C., Tang, W., 2023. Deep polyp image enhancement using region of interest with paired supervision. Computers in Biology and Medicine, 160.
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• Huang, D., Liu, J., Zhou, S., Tang, W., 2022. Deep unsupervised endoscopic image enhancement based on multi-image fusion. Computer Methods and Programs in Biomedicine, 221.
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• Huang, D., Wang, X., Liu, J., Li, J., Tang, W., 2022. Virtual reality safety training using deep EEG-net and physiology data. Visual Computer, 38 (4), 1195-1207.
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Conferences

• Liu, J., Tang, W., Shi, Y., Huang, D., 2026. Semantic-Aware 3D Polyp Segmentation in Dynamic Endoscopy Scenes. Proceedings International Symposium on Biomedical Imaging, 2026-April.
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• Huang, D., Li, Z., Liu, J., 2023. A Novel Hairstyle Transfer Method using Contextual Transformer Blocks. ACM International Conference Proceeding Series, 421-425.
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