中国研究型医院学神经再生与组织器官损伤修复专业委员会委员 、中国生物医学工程学会会员、 山东省人工智能学会青年科学家专委会委员、 山东省抗癌协会医学物理技术分会委员
研究方向：
医学图像处理、人工智能应用研究
招生方向：
信号与信息处理（学硕）、新一代电子信息技术（专硕）
联系邮箱：huangpu@sdnu.edu.cn
教育背景：
2015-09至2020-06，山东师范大学，博士（硕博连读）
2018-09至2019-10，美国北卡罗来纳大学教堂山分校（IDEALab），国家建设高水平大学联合培养博士
2016-10至2017-04，美国约翰霍普金斯大学，联合培养硕士
2011-09至2015-06，山东师范大学，学士
科研项目：
1.国家自然科学基金青年项目：基于注意力多域分析的胶质瘤磁共振图像生成研究，30万，2023.01-2025.12
2.山东省重大科技创新工程项目课题：基于荧光的内窥镜系统及外视系统的研发与应用，200万，2022.01-2024.12
3.山东省重点研发计划（竞争性创新平台）项目课题：基于云-边-端协同的智能机器人关键技术研究及示范应用，56万，2023.06-2026.06
论文发表：
1. Pu Huang, Dengwang Li*, Zhicheng Jiao, Dongming Wei, Bing Cao, Zhanhao Mo, Qian Wang*, Han Zhang*, Dinggang Shen*. Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. Medical Image Analysis, 2022, 79: 102472.
2. Tingxuan Hong, Pu Huang*, Xiangyu Zhai, Changming Gu, Baolong Tian, Bin Jin*, Dengwang Li*. MARS-GAN: Multilevel-feature-learning Attention-aware based Generative Adversarial Network for Removing Surgical Smoke. IEEE Transactions on Medical Imaging, 2023, 42(8): 2299-2312.
3. Hao Li, Xiangyu Zhai, Ziwei Liang, Jie Xue, Jin Bin, Haitao Niu, Guangyong Zhang, Huanxin Ding, Dengwang Li*, Pu Huang*. Multi-frequency shared-feature-learning based diffusion model for removing surgical smoke. Pattern Recognition, 2026, 172: 112447
4.Guangxin Zhang, Yufei Chen, Cuihong Liu, Pan Li, Yao Cheng, Peisheng Wang, Ya Meng*, Dengwang Li*, Pu Huang*. DePrompt-Track: Real-Time Ultrasound Landmark Tracking via Deformable Attention and Historical Mask Prompt. Neurocomputing, 2026, 673: 132845
5. Hao Li, Xiangyu Zhai, Jie Xue, Changming Gu, Baolong Tian, Tingxuan Hong, Bin Jin, Dengwang Li, Pu Huang*. Multi-frequency and smoke attention-aware learning based diffusion model for removing surgical smoke. MICCAI, 2024, 47-56.
6. Xueyao Liu, Xueyuan Dong, Tuo Li, Xiaofeng Zou, Chen Cheng, Zekun Jiang, Zhumin Gao, Sixu Duan, Meirong Chen, Tingting Liu, Pu Huang*, Dengwang Li*, Hua Lu*. A difficulty-aware and task-augmentation method based on meta-learning model for few-shot diabetic retinopathy classification. Quantitative Imaging in Medicine and Surgery, 2024, 14(1): 861.
7.Pu Huang, Jing Wang, Jian Zhang, Yajuan Shen, Cong Liu, Weiqing Song, Shangshang Wu, Yuwei Zuo, Zhiming Lu, Dengwang Li*. Attention-aware Residual Network based Manifold Learning for White Blood Cells Classification. IEEE Journal of Biomedical and Health Informatics, 2021, 25(4): 1206-1214.
8. Pu Huang, Dengwang Li*, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang*, Dinggang Shen*. CoCa-GAN: common-feature-learning-based context-aware generative adversarial network for glioma grading. MICCAI, 2019, 155-163.
9. Pu Huang, Gang Yu, Hua Lu, Danhua Liu, Ligang Xing, Yong Yin, Nataliya Kovalchuk, Lei Xing, Dengwang Li*. Attention-aware Fully Convolutional Neural Network with Convolutional Long Short-Term Memory Network for Ultrasound‐Based Motion Tracking. Medical Physics, 2019, 46(5): 2275-2285.
10. Pu Huang, Lin Su, Shuyang Chen, Kunlin Cao, Qi Song, Peter Kazanzides, Iulian Iordachita, Muyinatu A Lediju Bell, John W Wong, Dengwang Li*, Kai Ding*. 2D ultrasound imaging based intra-fraction respiratory motion tracking for abdominal radiation therapy using machine learning. Physics in Medicine & Biology, 2019, 64(18): 185006.
荣誉奖励：
1. 山东省科技进步二等奖，基于智能医学物理计算的图像引导肿瘤精准放疗关键技术及应用，山东省人民政府，2021，2/7
2. 山东省高等学校科学技术一等奖，基于联合形变配准和分割技术的图像引导智能精准医学，2020，2/3
3. 中国研究生电子设计竞赛全国总决赛团队二等奖/华北赛区优秀指导教师，智能凝血检测，2023，指导教师
4. 中国研究生电子设计竞赛全国总决赛团队一等奖，智能除烟内窥镜系统，2022，指导教师
5. 山东省互联网+大学生创新创业大赛金奖，智能超声影像引导仪—诊疗一体化的智能专家，2021，指导教师
