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胡琦瑶
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高级工程师
硕士生导师
- 教师拼音名称：Qiyao Hu
- 电子邮箱：2cf98ce48277b66f51842ac500cd1e6c2dbe8463fb94aac3952627e2fa4f5477e0bc942224b1420944269c51404357fac141e8bc9c82387bdd8784dd2b53df2da7e6fc43f7ec7f8a183f881f6ca5262ad7fe61e475d1ad6f6de8b4c473d79ee48af3fee34e5819c534f3115966d2afc0dafdc453870673ed81a5ebecdbbf6e96
- 所在单位：电子信息学院（人工智能学院）
- 性别：女
- 联系方式：邮箱：huqiyao@nwu.edu.cn；QQ：308912764
- 毕业院校：西北大学
- 学科：计算机应用技术
- 文物本体多模态智能感知与活化传承关键技术及应用，陕西省计算机学会科学技术奖一等奖，2025
访问量：
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[1]Zhou L, Hu Q*, Peng X, et al. Real-Time Proportional-Integral-Derivative (PID) Tuning Based on Back Propagation (BP) Neural Network for Intelligent Vehicle Motion Control[J]. Computers, Materials & Continua, 2025, 83(2).
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[2]Peng X, Kong L, Hu Q*, et al. EmoSkeMPR: ViT-based masked position reconstruction and skeleton feature fusion for multi-task emotion and behavior recognition[J]. Information Sciences, 2026: 123895.
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[3]Peng X, Wang J, Hu Q*, et al. 3DSynBrush a high quality 3D reconstruction framework for single Dunhuang murals[J]. npj Heritage Science, 2026, 14(1): 154.
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[4]Qu S, Kang Q, Yu Z, Peng S，Wang J，Hu Q, et al. High-fidelity mural inpainting via progressive reconstruction and damage-aware adaptation[J]. Expert Systems with Applications, 2026, 296: 128957.
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[5]Hu Q, Luo Y, Peng X, et al. CalliECD: An Error Correction Diffusion Model for Multi-Style Chinese Calligraphy Generation[J]. Pattern Recognition, 2026: 114373.
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[6]Yang S, Zhang X*, Zhao W, Hu Q, et al. DSNet: dual-stream network for fine-grained ship classification in optical remote sensing images[J]. Remote Sensing Letters, 2024, 15(8): 792-804.
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[7]Hu Q, Peng X, et al. "Object Detection and Recognition based on Improved Faster R-CNN," 2022 International Conference on Image Processing and Media Computing (ICIPMC), 2022, pp. 1-6.
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[8]Zhang X; Jiang X; Hu Q, et al. Enabling Near-Zero Cost Object Detection in Remote Sensing Imagery via Progressive Self-Training[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.
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[9]Peng X, Peng S*, Hu Q*, et al. Contour-enhanced CycleGAN framework for style transfer from scenery photos to Chinese landscape paintings. Neural Comput & Applic 34, 18075–18096 (2022).
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[10]Hu Q, Zhou W, Peng X ,et al.DRANet: A semantic segmentation network for Chinese landscape paintings[J]. Digital Signal Processing, 2024, 147: 104427.
