I obtained my Ph.D. in December 2024 from the College of Computer Science at Sichuan University and subsequently join the Image Processing and Parallel Computing (IPPC) Laboratory at Southwest Petroleum University. My research focuses on multimodal (image/video/speech/3D) understanding and generation, intelligent agents, world models, AI infrastructure, and next-generation magnetic resonance imaging systems. I possess extensive industry experience in both internet companies and high-end medical device enterprises. I am currently the principal investigator of one National Natural Science Foundation of China (NSFC) Youth Project. As first author or co-author, I have published over ten papers in top-tier journals and conferences, including Cell iScience (a Cell Press journal), IEEE TMI, TCSVT, TAI, TRPMS, JBHI, CVPR, and ICASSP. I have frequently served as a reviewer for prestigious journals and conferences such as IEEE TPAMI, TNNLS, TMI, ICLR, WWW, CVPR, and ICASSP. I have rich hands-on experience in diffusion models, multimodal models, and both efficient and full fine-tuning of large language models. Additionally, I have led product teams and delivered products successfully deployed in internet commercialization and ToC user growth initiatives. 关于本科生实习

Research

Multimodal (image/video/speech/3D) understanding and generation, inverse problem optimization, intelligent agents, world models, AI infrastructure, next-generation imaging systems (MRI/CT/PET/microscopes, etc.), multi-dimensional nuclear magnetic resonance logging, and more. Undergraduate students in mathematics, physics, computer science, electronic information, automation, mechanical and electrical engineering, as well as those pursuing or planning to pursue postgraduate studies (including those applying for direct entry or entrance exams), are welcome to contact me to explore the above topics or your own areas of interest. Currently, we have sufficient funding — you may choose to research in the direction of the advisor or continue in your own area of interest. For example, generative AI and intelligent agent directions can be applied to services for hundreds of millions of users; next-generation imaging systems and optimization directions can be applied to the development of high-end medical equipment.

• Personal homepage: https://wangzhiwen-scu.github.io/
• Team homepage: https://www.swpu.edu.cn/scs/info/1172/4477.htm

Projects:

National Natural Science Foundation of China Young Scientists Fund (Category C) [formerly Young Scientists Fund], Research on High-Resolution Ultra-Low Field MRI Methods Based on Adaptive Multi-Scan Sparse Sampling, 2026.1.1–2028.12.31 (PI)

China Aerodynamics Research and Development Center, Embodied Intelligent UAV Swarm Cooperative Control, 2025–present (Lead)

Tianfu Jiangxi Laboratory 2024 Achievement Transformation Funding Project, Large Language Model-Guided Distributed Low-Dose CT Reconstruction Method Research, 2024–2025 (Co-PI)

Sichuan Province Philosophy and Social Sciences Key Laboratory of Sichuan Cuisine AI, AI Multimodal Model-Based Digital Assessment and Teaching Optimization for Sichuan Cuisine Culinary Skills, 2025–2026 (Co-PI)

Open-Source Independent Research Initiative, Multimodal Generative Artificial Intelligence Platform, 2025–present (Lead)

Publications:

[1] Zhiwen Wang, Bowen Li, Hui Yu, Zhongzhou Zhang, Maosong Ran, Wenjun Xia, Ziyuan Yang, Jingfeng Lu, Hu Chen, Jiliu Zhou, Hongming Shan, and Yi Zhang. Promoting Fast MR Imaging Pipeline by Full-stack AI[J].Cell iScience, 27(1): 108608, 2024. (Cell Press Journal)

[2] Zhiwen Wang, Maosong Ran, Ziyuan Yang, Hui Yu, Jie Jin, Tao Wang, Jingfeng Lu, and Yi Zhang. Generalizable MRI motion correction via compressed sensing equivariant imaging prior[J]. IEEE Transactions on Circuits and Systems for Video Technology, 34(12): 12550-12567, 2024. (中科院1区)

[3] Zhiwen Wang, Zexin Lu, Tao Wang, Ziyuan Yang, Hui Yu, Zhongxian Wang, Yinyu Chen, Jingfeng Lu, and Yi Zhang. Test-Time Adaptation via Orthogonal Meta Learning for Medical Imaging[J]. IEEE Transactions on Radiation and Plasma Medical Sciences, 9(2): 215-227, 2025. (中科院2区)

[4] Zhongzhou Zhang, Yingyu Chen, Hui Yu, Zhiwen Wang, Shanshan Wang, Fenglei Fan, Hongming Shan, and Yi Zhang. UniAda: Domain Unifying and Adapting Network for Generalizable Medical Image Segmentation[J]. IEEE Transactions on Medical Imaging, 1-1, 2025. (SCI 收录)

[5] Ziyuan Yang, Yingyu Chen, Zhiwen Wang, Hongming Shan, Yang Chen, Yi Zhang. Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated LowDose CT Denoising Empowered by Large Language Model, Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (EI 收录)

[6] Zhongzhou Zhang, Hui Yu, Zhongxian Wang, Zhiwen Wang, Jingfeng Lu, Yan Liu, and Yi Zhang. Gradient-Guided Network With Fourier Enhancement for Glioma Segmentation in Multimodal 3D MRI[J]. IEEE Journal of Biomedical and Health Informatics, 28(11): 6778-6790, 2024. (SCI 收录)

[7] Tao Wang, Hui Yu, Zhiwen Wang, Hu Chen, Yan Liu, Jingfeng Lu, and Yi Zhang. SemiMAR: Semi-supervised learning for CT metal artifact reduction[J]. IEEE Journal of Biomedical and Health Informatics, 27(11): 5369-5380, 2023. (SCI 收录)

[8] Zexin Lu, Qi Gao, Tao Wang, Ziyuan Yang, Zhiwen Wang, Hui Yu, Hu Chen, Jiliu Zhou, Hongming Shan, and Yi Zhang. PrideDiff: Physics-Regularized Generalized Diffusion Model for CT Reconstruction[J]. IEEE Transactions on Radiation and Plasma Medical Sciences, 9(2): 157-168, 2025. (ESCI 收录)

[9] Bowen Li, Zhiwen Wang, Ziyuan Yang, Wenjun Xia, and Yi Zhang. Progressive Dual-Domain-Transfer CycleGAN for Unsupervised MRI Reconstruction[J]. Neurocomputing, 563: 126934, 2024. (SCI 收录)

[10] Hui Yu, Ziyuan Yang, Zhongzhou Zhang, Tao Wang, Maoson Ran, Zhiwen Wang, Lunxin Liu, Yan Liu, and Yi Zhang. Multiple Organ Segmentation Framework for Brain Metastasis Radiotherapy[J]. Computers in Biology and Medicine, 177: 108637, 2024. (SCI 收录)

[11] Yingyu Chen, Ziyuan Yang, Chenyu Shen, Zhiwen Wang, Zhongzhou Zhang, Yang Qin, Xin Wei, Jingfeng Lu, Yan Liu, and Yi Zhang. Evidence-based uncertaintyaware semi-supervised medical image segmentation[J]. Computers in Biology and Medicine, 170: 108004, 2024. (SCI 收录)

[12] Zhiwen Wang, Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, and Yi Zhang. One Network to Solve Them All: A Sequential Multi-task Joint Learning Network Framework for MR Imaging Pipeline[C]. International Workshop on Machine Learning for Medical Image Reconstruction (MLMIR), 76-85, 2021. (EI 收录)

[13] Zhiwen Wang, Bowen Li, Wenjun Xia, Chenyu Shen, Mingzheng Hou, Hu Chen, Yan Liu, Jiliu Zhou, and Yi Zhang. LEADERS: Learnable Deep Radial Subsampling for MRI Reconstruction[C]. IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2022. (EI 收录)

[14] Yingyu Chen, Ziyuan Yang, Chenyu Shen, Zhiwen Wang, Yang Qin, and Yi Zhang. EVIL: Evidential Inference Learning for Trustworthy Semi-Supervised Medical Image Segmentation[C]. IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2023. (EI 收录)

[15] Zhongxian Wang, Zhiwen Wang, Zhongzhou Zhang, Ziyuan Yang, Maosong Ran, Hui Yu, Zhenyang Yu, and Yi Zhang. Dynamic Focus Mechanism-Based DualDomain Reconstruction Network for Accelerated MRI[C]. IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2023. (EI 收录)

[16] 王钟贤, 王志文, 张中洲, 杨子元, 冉茂松, 余慧, 张意. PFONet：一种用于加速 MRI 的渐进式聚焦导向双域重建网络 [J]. 四川大学学报 (自然科学版), 61(05): 127-142, 2024. (中文核心收录)

[17] 李博文, 王志文, 冉茂松, 杨子元, 张意. 基于双域交互 Transformer 的磁共振图像 重建 [J]. 四川大学学报 (自然科学版), 61(03): 119-130, 2024. (中文核心收录)

[18] Mengyu Sun, Ziyuan Yang, Maosong Ran, Zhiwen Wang, Hui Yu, Yi Zhang, Plaintext-Free Deep Learning for Privacy-Preserving Medical Image Analysis through Frequency Information Embedding, ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (EI 收录)

[19] Ziyuan Yang, Huijie Huangfu, Maosong Ran, Zhiwen Wang, Hui Yu, Mengyu Sun, Yi Zhang, A Novel Privacy-Enhancing Framework for Low-Dose CT Denoising, IEEE Transactions on Artificial Intelligence, 1 – 14, 2025 (ESCI 收录)

Contact

Email: zwwang1228@gmail.com，paprikatree@foxmail.com

毕业生去向

本科生：

• Lijun Zhao, admitted to NUST（南京理工大学）, graduating in 2026.
• Tingting Li，admitted to NUST（南京理工大学）, graduating in 2026.

研究生：

• 暂无