朱闽峰博士，现为浙江大学软件学院特聘研究员。2020年博士毕业于浙江大学计算机科学与技术学院，2021年至2023年任华为海思图灵解决方案算法工程师，2023年加入浙江大学软件学院。我的研究兴趣包括可解释的数据可视化、生成式视觉模型以及垂直领域大模型对齐，在IEEE TVCG、CVPR、ICML、ACL、AAAI等国际顶尖期刊和会议发表20余篇论文，累计Google Scholar引用量已达到1400次。个人主页： https://minfengzhu.github.io/。

目前，我正在积极招收硕士研究生加入浙江大学可视分析小组（ZJUVAI）。欢迎刻苦努力、有扎实的编程能力或者数学背景的同学加入我们。我们也非常欢迎访问学者和实习生的加入！如果您感兴趣，请提交申请至VAI简历投递。

[1]   Minfeng Zhu, Wei Chen, Jiazhi Xia, Yuxin Ma, Yankong Zhang, Yuetong Luo, Zhaosong Huang, and Liangjun Liu. Location2vec: a situation-aware representation for visual exploration of urban locations[J]. IEEE Transactions on Intelligent Transportation Systems 2019, 20(10): 3981-3990. (CCF-B)

[2]   Haiyang Zhu, Minfeng Zhu, Yingchaojie Feng, Deng Cai, Yuanzhe Hu, Shilong Wu, Xiangyang Wu, and Wei Chen. Visualizing large-scale high- dimensional data via hierarchical embedding of KNN graphs[J]. Visual Informatics, 2021, 5(2): 51-59.

[3]   Minfeng Zhu, Wei Chen, Yuanzhe Hu, Yuxuan Hou, Liangjun Liu, and Kaiyuan Zhang. DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction[J]. IEEE Transactions on Visualization and Computer Graphics, 2021, 27(2): 1666-1676. (CCF-A)

[4]   Minfeng Zhu, Pingbo Pan, Wei Chen, and Yi Yang. DM-GAN: Dynamic Memory Genera-tive Adversarial Networks for Text-to-Image Synthesis[C]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, 5802-5810. (CCF-A)

[5]   Bo Wang, Tao Wu, Minfeng Zhu, and Peng Du. Interactive Image Synthesis with Panoptic Layout Generation[C]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022, 7783-7792. (CCF-A)

[6]   Minfeng Zhu, Pingbo Pan, Wei Chen, and Yi Yang. EEMEFN: Low-Light Image Enhancement via Edge Enhanced Multi- Exposure Network[C]. In Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020, 34(7):13106-13113. (CCF-A)

[7]   Jiacheng Pan, Wei Chen, Xiaodong Zhao, Shuyue Zhou, Wei Zeng, Minfeng Zhu, Jian Chen, Siwei Fu, and Yingcai Wu. Exemplar-based Layout Fine-tuning for Node-link Diagrams[J]. IEEE Transactions on Visualization and Computer Graphics, 2020, 27(2): 1655-1665. (CCF-A)

[8]   Wei Chen, Zhaosong Huang, Feiran Wu, Minfeng Zhu, Huihua Guan, and Ross Maciejewski. VAUD: A visual analysis approach for exploring spatio-temporal urban data[J]. IEEE Transactions on Visualization and Computer Graphics, 2017, 24(9): 2636-2648. (CCF-A)

[9]   Zhaosong Huang, Ye Zhao, Wei Chen, Shengjie Gao, Kejie Yu, Weixia Xu, Mingjie Tang, Minfeng Zhu, and Mingliang Xu. A natural-language-based visual query approach of uncertain human trajectories[J]. IEEE Transactions on Visualization and Computer Graphics, 2019, 26(1): 1256-1266. (CCF-A)

[10]  Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, and Wei Chen. KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation[C]. In Proceedings of the International Conference on Machine Learning, 2021, 3274-3283. (CCF-A)

[11]  Haozhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, and Wei Chen. Shot-VAE: Semi-supervised deep generative models with label-aware ELBO approximations[C]. In Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 35(8):7413-7421. (CCF-A)