个人简历：
张有山，男，1993年6月生，博士，教授，博士、硕士研究生导师。主持智能诊断实验室，主要研究方向为计算机视觉、迁移学习、多模态学习、医学影像处理。近年来，主持和参与美国国家NSF项目基金、省教育厅科研重大项目等9项课题。在SCI/EI收录会议与期刊上共发表论文60余篇。长担任计算机顶级会议ICLR、AAAI、CVPR、ECCV等审稿人和兽医学前沿(Frontiers in Veterinary Science)与物联网(IEEE Internet of Things)期刊副主编。
主要履历：
2015.8至2017.5,南加州大学 硕士
2017.8至2021.8,里海大学 博士
2021.9至2022.8,康奈尔大学 博士后
2022.8至2025.8,耶希瓦大学 助理教授
2025.9至今,米兰app官网版下载官方版 人工智能学院 教授
电子邮箱：
主讲课程：
计算机视觉，深度学习
研究方向：
人工智能、计算机视觉、迁移学习、多模态学习、流形学习、医学影像分析
教学研究：
·教研项目
1.耶希瓦大学, Katzbot 2.0, 2024-09至2025-05，3.5万，结题,主持。
2.耶希瓦大学, Machine Learning Chat Robot for Students, 2023-09至2024-05，3.5万，结题,主持。
·教研论文
1.Ruslan Gokhman; Jialu Li and Youshan Zhang*. Automatic teaching platform on vision language retrieval augmented generation. In 2025 IEEE Integrated STEM Education Conference (ISEC), pp. 1-8. IEEE, 2025.
2.Jialu Li; Manish Kumar Thota; Ruslan Gokhman; Radek Holik and Youshan Zhang*. SparrowVQE: Visual Question Explanation for Course Content Understanding. In 2024 IEEE International Conference on Big Data (BigData), pp. 1814-1823. IEEE, 2024.
3.Ankit Kumar Aggarwal; Veerabhadra Rao Marellapudi; Ovadia Sutton, and Youshan Zhang*. ClassVision: AI-Powered Classroom Attendance System. In 2024 Fourth International Conference on Digital Data Processing (DDP), pp. 27-34. IEEE, 2024.
科学研究：
1.安徽省教育厅高校科研项目重大项目，智慧果园移动监控与精准采摘机器人技术研究，2026-2029，35万，在研，主持。
2.米兰app官网版下载官方版科研启动基金，基于医学影像的智能诊断平台研发，2025-2028，400万，在研，主持。
3.横向:企业委托项目，2025-2030，20万，在研，主持。
4.美国国家科学基金会（NSF）, Cardiomegaly Detection from Deep Learning to Clinical Trials，2024-08至2025-08，126万，结题，主持。
5.耶希瓦大学, Clinical Innovation in Rare Diseases Interactive Information Hub, 2024-08至2025-05, 2.1万，结题,参与。
6.耶希瓦大学校, Dementia Care Training Chatbot Development, 2024-08至2025-05, 2.1万，结题,参与。
7.耶希瓦大学, Image Generation for Medical Applications, 2023-06至2024-05，5.6万，结题,主持。
·主要论文
1.Sahil Kumar; Namrataben Patel; Honggang Wang and Youshan Zhang*. MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control. In The Fourteenth International Conference on Learning Representations (ICLR), 2026.
2.Lakshmikar R. Polamreddy; Jialu Li and Youshan Zhang*. The Deficit of New Information in Diffusion Models: a Focus on Diverse Samples, Information Fusion, 2025,103857.
3.George C. Hansen; Yuxiao Yao; Anthony J. Fischetti; Anthony Gonzalez; Ian Porter; Rory J. Todhunter and Youshan Zhang*. Next-generation Machine Learning Model to Measure the Norberg Angle on Canine Hip Radiographs Increases Accuracy and Time to Completion. American Iournal of Veterinary Research 86, no. 9 (2025).
4.Lakshmi Priya Ramisetty and Youshan Zhang*. Optimizing Veterinary Language Modeling with Mamba Architecture for Long-Sequence Efficiency. In Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, pp. 289-293. 2025.
5.Sheng‐Han Yueh; Fiona Higgins; Zoe Lin; Rory James Todhunter and Youshan Zhang*. Diffusion Data Augmentation for Enhancing Norberg Hip Angle Estimation, Veterinary Radiology Ultrasound, 2024.
6.Jialu Li and Youshan Zhang*; Regressive Vision Transformer for Dog Cardiomegaly Assessment, Scientific Reports, 2024.
7.Junhui Li; Pu Wang; Jialu Li and Youshan Zhang*. Complex Image-Generative Diffusion Transformer for Audio Denoising. In Proc. Interspeech 2024, pp. 2220-2224. 2024.
8.Pu Wang; Junhui Li; Jialu Li; Liangdong Guo and Youshan Zhang*. Diffusion Gaussian Mixture Audio Denoise. In Proc. Interspeech 2024, pp. 2200-2204. 2024.
9.Sahil Kumar; Jialu Li and Youshan Zhang*. Vision Transformer Segmentation for Visual Bird Sound Denoising. In Proc. Interspeech 2024, pp. 122-126. 2024.
10.Kanchan Subhashchandra Maurya and Youshan Zhang*. Pink Guardian: A Gateway to Early Breast Cancer Detection. In 2024 16th International Conference on Human System Interaction (HSI), pp. 1-7. IEEE, 2024.
11.Youshan Zhang and Jialu Li. Birdsoundsdenoising: Deep Visual Audio Denoising for Bird Sounds. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 2248-2257. 2023.
12.Youshan Zhang and Jialu Li. Complex Image Generation SwinTransformer Network for Audio Denoising. Interspeech 2023. 2023: 186-190.
13.Youshan Zhang; Ian R. Porter; Matthias Wieland and Parminder S. Basran. Separable Confident Transductive Learning for Dairy Cows Teat-end Condition Classification. Animals 12, no. 7 (2022): 886.
14.Youshan Zhang and Brian D. Davison. Deep Least Squares Alignment for Unsupervised Domain Adaption. In 32nd British Machine Vision Conference (BMVC), 2021.
15.Youshan Zhang; Hui Ye and Brian D. Davison. Adversarial Reinforcement Learning for Unsupervised Domain Adaptation. In Proceedings of the IEEE/CVF winter conference on applications of computer vision, pp. 635-644. 2021.
获奖情况：
1. International Conference on Digital Data Processing，最佳论文奖，2023
2. Future Technologies Conference，新兴研究，2023
3.Future of Information and Communication Conference，最佳学生论文奖，2019
指导学生情况：
1.黎俊辉,辽宁科技大学博士生, 202409-至今
2.王璞,山东大学硕士研究生, 202409-至今
3.王双,辽宁科技大学硕士研究生, 202509-至今
4.Namrataben Pinkesh Patel,耶希瓦大学博士生，202501-202508
5.Sahil Kumar,耶希瓦大学博士生，202408-202508
6.Lakshmikar Reddy Polamreddy,耶希瓦大学博士生，202401-202508
7.Manish Kumar Thota, 2024年硕士毕业。现就职S&P Global
8.Sheng-Han Yueh, 2024年硕士毕业。现就职Renal Research Institute
9.Sayed Raheel Hussain, 2024年硕士毕业。现就职Sapient Logistics Inc。
实验室长期招聘博后，博士生，硕士生与科研助理岗位。