王志文，男，讲师，硕士生导师

电子邮箱：paprikatree at foxmail dot com, zwwang1228 at gmail dot com

2024年12月博士毕业于四川大学计算机学院，并加入西南石油大学图像处理及并行计算(IPPC)实验室。研究方向涵盖主要从事多模态（图像/视频/语音/3D）理解与生成、智能体、世界模型、AI Infra、下一代磁共振成像系统。具有丰富的互联网大模型工作经历和高端医疗设备工作经历。主持国家自然科学基金青年项目1项。以第一作者/合作者在Cell子刊Cell iScience、IEEE TMI/TCSVT/TAI/TRPMS/JBHI、CVPR、ICASSP等顶级期刊/会议发表10余篇论文。多次担任IEEE TPAMI/TNNLS/TMI、ICLR、WWW、CVPR、ICASSP等顶级期刊/会议审稿人。具有扩散模型、多模态模型、大语言模型高效微调和全量微调的丰富经验；具有带队产品，用于互联网商业化和ToC用户增长经验。

个人主页：https://wangzhiwen-scu.github.io/

团队主页：/scs/info/1172/4477.htm

多模态（图像/视频/语音/3D）理解与生成、逆问题优化、智能体、世界模型、AI Infra、下一代成像系统（MRI/CT/PET/显微镜等）、多维核磁共振测井等。欢迎理工科专业的本科生、保研/考研的同学与我联系，一起探索。

【项目】

国家自然科学基金青年科学基金项目（C类）[原青年科学基金项目]，基于自适应多扫描稀疏采样的高分辨率超低场磁共振成像方法研究，2026.1.1-2028.12.31（主持）
中国空气动力研究与发展中心，具身智能无人机集群控制协同，2025-至今（负责人）
天府绛溪实验室 2024 成果转化资助资金项目，大语言模型引导的分布式低剂量 CT 重建方法研究，2024-2025（共同负责人）
川菜人工智能皇家永利哲学社会科学重点实验室，基于人工智能多模态模型的川菜烹饪技能数字化评估与教学优化研究，2025-2026（共同负责人）
开源自主课题，多模态生成式人工智能训练推理平台，2025-至今（负责人）

【论文】

[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子刊)
[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, YinyuChen, Jingfeng Lu, and Yi Zhang. Test-Time Adaptation via Orthogonal Meta Learning for Medical Imaging[J]. IEEE Transactions on Radiation and PlasmaMedical 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 AdaptingNetwork for Generalizable Medical Image Segmentation[J]. IEEE Transactions onMedical 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, JiliuZhou, Hongming Shan, and Yi Zhang. PrideDiff: Physics-Regularized GeneralizedDiffusion Model for CT Reconstruction[J]. IEEE Transactions on Radiation andPlasma Medical Sciences, 9(2): 157-168, 2025. (ESCI 收录)
[9] Bowen Li, Zhiwen Wang, Ziyuan Yang, Wenjun Xia, and Yi Zhang. ProgressiveDual-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 Frameworkfor 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, YangQin, Xin Wei, Jingfeng Lu, Yan Liu, and Yi Zhang. Evidence-based uncertaintyaware semi-supervised medical image segmentation[J]. Computers in Biology andMedicine, 170: 108004, 2024. (SCI 收录)
[12] Zhiwen Wang, Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, JiliuZhou, and Yi Zhang. One Network to Solve Them All: A Sequential Multi-task JointLearning Network Framework for MR Imaging Pipeline[C]. International Workshopon 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)