AC米兰(中国区)-中文官方网站

1. 图像处理

2. 人工智能

主讲课程：《人工智能导论》、《光学系统设计》（本科）；《虚拟仪器技术》（研究生）

【教学科研奖励】

1. 山西省科学技术奖，科技进步奖二等，排名第一，2022

2. 中国信息协会数据要素创新应用大赛，全国二等奖，排名第一，2024

其他荣誉奖励及社会兼职

 1. 2024年度，太理青年奖章

 2. 中国天文学会信息化工作委员会,委员，2019-至今

国家级/省级人才称号

1. 山西省青年拔尖人才

2. 省教育厅青年学术带头人

3. 三晋英才，青年优秀人才

4. 国家天文科学数据中心，青年数据科学家

主持/参与项目

【科研项目】

[1] 多波段时域天文图像智能处理软件,国家重点研发计划项目, 2024.01~2026.12,主持.

[2] 月球与行星科学多模态专业大模型训练与开发，重点项目子课题，2025.07-2026.12，主持.

[3] XXXX光变模拟与识别模型训练，ZF重点项目子课题，2025.12-2026.10，主持.

[4] 2024年度三晋英才-科技创新领域青年拔尖人才，省级人才项目，2025.05-2027.12，主持

【教学项目】

[1] 国产化DCU应用于天文/空间科学数据处理, 光合基金, 负责人, 5万元

学术成果

【发表论文】

Jia, P., Ning, R., Sun, R., Yang, X., & Cai, D. Data-driven image restoration with option-driven learning for big and small astronomical image data sets. Monthly Notices of the Royal Astronomical Society, 2021, 501(1): 291–301. [IF: ~4.8, JCR Q1, 中科院2区]

Jia, P., Ma, M., Cai, D., Wang, W., Li, J., & Li, C. Compressive Shack–Hartmann wavefront sensor based on deep neural networks. Monthly Notices of the Royal Astronomical Society, 2021, 503(3): 3194–3203. [IF: ~4.8, JCR Q1, 中科院2区]

Sun, R., Yu, S., & Jia, P. Precise estimation of source intensity for wide-field telescopes with PSF modeling. The Astronomical Journal, 2021, 161(5): 245. [IF: ~5.0, JCR Q1, 中科院2区]

Jia, P., Wu, X., Li, Z., Li, B., Wang, W., Liu, Q., Popowicz, A., & Cai, D. Point spread function estimation for wide field small aperture telescopes with deep neural networks and calibration data. Monthly Notices of the Royal Astronomical Society, 2021, 505(4): 4717–4725. [IF: ~4.8, JCR Q1, 中科院2区]

Jia, P., Wang, W., Ning, R., & Xue, X. Digital twin of atmospheric turbulence phase screens based on deep neural networks. Optics Express, 2022, 30(12): 21362–21376. [IF: ~3.8, JCR Q2, 中科院2区]

Jia, P., Sun, R., Li, N., Song, Y., Ning, R., Wei, H., & Luo, R. Detection of strongly lensed arcs in galaxy clusters with transformers. The Astronomical Journal, 2022, 165(1): 26. [IF: ~5.0, JCR Q1, 中科院2区]

Jia, P., Zheng, Y., Wang, M., & Yang, Z. A deep learning based astronomical target detection framework for multi-colour photometry sky survey projects. Astronomy and Computing, 2023, 42: 100687. [IF: ~3.0, JCR Q2, 中科院3区]

Peng, J., Liu, W., Liu, Y., & Pan, H. Target Detection Framework for Lobster Eye X-Ray Telescopes with Machine-learning Algorithms. The Astrophysical Journal Supplement Series, 2023, 264(2). [IF: ~9.2, JCR Q1, 中科院1区(Top)]

Peng, J., Jia, Q., Jiang, T., & Liu, J. Observation Strategy Optimization for Distributed Telescope Arrays with Deep Reinforcement Learning. The Astronomical Journal, 2023, 165(6). [IF: ~5.0, JCR Q1, 中科院2区]

Jia, P., Jia, Q., Jiang, T., & Yang, Z. A simulation framework for telescope array and its application in distributed reinforcement learning-based scheduling of telescope arrays. Astronomy and Computing, 2023. [IF: ~3.0, JCR Q2, 中科院3区]

Jia, P., Yang, Z., Shang, Z., Yu, Y., & Zhao, J. Data processing pipeline for multiple-exposure photo-plate digital archives. Publications of the Astronomical Society of Japan, 2023, 75(4): 811–824. [IF: ~3.2, JCR Q2, 中科院3区]

Lv, M. J., & Liu, T. Solar flare forecasting with data-driven interpretable model. NeurIPS 2022 AI for Science, 2022. [计算机视觉/人工智能顶级会议，不设IF，CCF-A类对应档次]

Sun, R., Jia, P., Sun, Y., Yang, Z., Liu, Q., & Wei, H. PNet—A Deep Learning Based Photometry and Astrometry Bayesian Framework. The Astronomical Journal, 2023, 166(6): 235. [IF: ~5.0, JCR Q1, 中科院2区]

Jia, P., Lv, J., Ning, R., Song, Y., Li, N., Ji, K., Cui, C., & Li, S. Image restoration with point-spread function regularization and active learning. Monthly Notices of the Royal Astronomical Society, 2024, 527(3): 6581–6590. [IF: ~4.8, JCR Q1, 中科院2区]

Sun, R., Li, Y., Parker, Q., Li, J., Li, X., Cao, L., & Jia, P. Artificial Intelligence Techniques for Uncovering Resolved Planetary Nebula Candidates from Wide-field VPHAS+ Survey Data. Monthly Notices of the Royal Astronomical Society, 2024, 528(3): 4733–4745. [IF: ~4.8, JCR Q1, 中科院2区]

Zhang, M., Jia, P., Li, Z., Xiang, W., Lv, J., & Sun, R. Perception of misalignment states for sky survey telescopes with the digital twin and the deep neural networks. Optics Express, 2023, 31(26): 44054–44075. [IF: ~3.8, JCR Q2, 中科院2区]

Jia, P., Lv, C., Li, Y., Sun, Y., Niu, S., & Wang, Z. A Data-driven Approach for Mitigating Dark Current Noise and Bad Pixels in Complementary Metal Oxide Semiconductor Cameras for Space-based Telescopes. The Astronomical Journal, 2024, 167(5): 219. [IF: ~5.0, JCR Q1, 中科院2区]

Li, X., Sun, R., Lv, J., Jia, P., et al. CSST Strong-lensing Preparation: A Framework for Detecting Strong Lenses in the Multicolor Imaging Survey by the China Survey Space Telescope (CSST). The Astronomical Journal, 2024, 167(6): 264. [IF: ~5.0, JCR Q1, 中科院2区]

Jia, P., Song, Y., Lv, J., & Ning, R. An Image Quality Evaluation and Masking Algorithm Based On Pretrained Deep Neural Networks. The Astronomical Journal, 2024, 168(1): 2. [IF: ~5.0, JCR Q1, 中科院2区]

Wang, Y., Sun, R., Deng, T., Zhao, C., Zhao, P., Yang, J., Jia, P., Liu, H., & Zhou, J. CSST Dense Star Field Preparation: A Framework for Astrometry and Photometry for Dense Star Field Images Obtained by the China Space Station Telescope (CSST). Research in Astronomy and Astrophysics, 2024, 24(7): 075012. [IF: ~2.1, JCR Q3, 中科院3区]

Li, Y., Parker, Q., & Jia, P. First discovery and confirmation of planetary nebula candidates from AI and deep learning techniques applied to VPHAS+ survey data. Astronomy & Astrophysics, 2024, 692: A103. [IF: ~6.2, JCR Q1, 中科院2区]

Bai, Z., Jia, P., Lv, J., Zhang, X., Xiang, W., & Nie, L. An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions. The Astronomical Journal, 2025, 169(2): 88. [IF: ~5.0, JCR Q1, 中科院2区]

Fu, M. X., Song, Y., Lv, J. M., Cao, L., Jia, P., et al. A versatile framework for analyzing galaxy image data by incorporating Human-in-the-loop in a large vision model. Chinese Physics C, 2024, 48(9): 095001. [IF: ~4.1, JCR Q2, 中科院2区]

Cao, L., Jia, P., Li, J., Song, Y., Hou, C., & Li, Y. Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era. The Astronomical Journal, 2025, 169(4): 215. [IF: ~5.0, JCR Q1, 中科院2区]

Jia, P., Li, G., Cheng, B., Li, Y., & Sun, R. Adaptive detection of fast-moving celestial objects using a mixture-of-experts and physical-inspired neural network. The Astronomical Journal, 2025, 169(5): 282. [IF: ~5.0, JCR Q1, 中科院2区]

Xiang, W., Jia, P., Li, Z., Liu, J., Ying, Z., & Bai, Z. An optimization framework for wide-field small aperture telescope arrays used in sky surveys. Experimental Astronomy, 2025, 59(3): 32. [IF: ~3.0, JCR Q2, 中科院3区]

Jia, P., Li, Y., Li, J., Xu, Y., Xin, L., & Wei, J. The AI supervisor of source-extraction algorithms for images obtained by wide-field small-aperture optical telescopes. Astronomy & Astrophysics, 2025, 699: A36. [IF: ~6.2, JCR Q1, 中科院2区]

Jia, P., Li, J., Cao, L., Tian, S., Li, Y., Xu, Y., Xin, L., & Wei, J. A Rapid and Efficient Optical Transients Identification Framework Based on a Multimodal Neural Network and Machine Learning Operations. The Astrophysical Journal Supplement Series, 2025, 280(1): 42. [IF: ~9.2, JCR Q1, 中科院1区(Top)]

Jia, P., Zhang, Y., Li, K., Liu, Y., Pan, H., & Li, Y. Smart Source Detection Framework for Lobster Eye Telescopes. The Astrophysical Journal Supplement Series, 2025, 281(2): 26. [IF: ~9.2, JCR Q1, 中科院1区(Top)]

Jia, P., Cheng, J., Hou, C., Li, Z., He, T., Li, S., Cui, C., Li, G., Rukh, M., & Omer, S. The HuoLiuXing Project: an AI and Digital Twin Driven Citizen Science Project for Meteor Observation Data Collection and Processing. Research in Astronomy and Astrophysics, 2026. [IF: ~2.1, JCR Q3, 中科院3区]