张俊松 教授

浙江大学 博士(2008)

研究方向:人工智能与脑科学、艺术和医学等的交叉研究

电子邮件:zhangjs@xmu.edu.cn

个人主页:https://bci.xmu.edu.cn/team_show.html?p=0

个人简历:

个人简介:

信息学院人工智能系教授,脑认知与智能计算实验室主任,厦门大学发展规划办公室副主任,博士毕业于浙江大学,获计算机科学与技术工学博士学位,曾在美国南加州大学(USC)、加州理工学院(Caltech)等校访问学习。主要研究领域为人工智能与脑科学、艺术和医学等的交叉研究,在国内外期刊和会议,如《Nature Communications》《Science Advances》《iScience》《IEEE Transactions on Visualization and Computer Graphics》《IEEE Transactions on Medical Imaging》《ACM Transactions on Applied Perception》Computer Graphics Forum 》《Pattern Recognition》《Brain》《Brain Informatics》《Brain Research》《Neuroscience》和《中国科学:信息科学》等上面发表论文50余篇,相关研究工作曾被国家自然科学基金委在《Science Foundation in China》(2019年第2期)作为研究亮点(Research Highlights)报道。曾指导本科生获全国大学生智能设计竞赛一等奖、优秀指导教师奖,指导研究生获中国计算机辅助设计与图形学大会最佳论文奖等。先后主持国家自然科学基金、航空科学基金、产学研项目,参与863、973、国家自然基金等项目二十余项。


学术服务: 

  • 国际期刊Computerized Medical Imaging and Graphics (Elsevier),Associate Editor

  • 国际期刊Brain Informatics (Springer Nature), Associate Editor

  • 国际期刊Frontiers in Neural Circuits, Guest Editor (2021, Unveiling the Structure and Function of Brain Microcircuits: Experiments, Algorithms and Simulations)

  • International Workshop on Computational Neuroaesthetics (Brain Informatics), Workshop Chair, 2019-

  • ENIGMA Epilepsy, Site Principle Investigator

  • 中国元宇宙技术与应用创新平台,常务理事

  • 医学未来与未来医学科技创新论坛(西安交通大学),学术委员

  • 中国人工智能学会,脑机融合与生物机器智能专业委员会、智能创意与数字艺术专业委员会委员

  • 中国自动化学会,混合智能专业委员会委员

  • 中国图象图形学学会,脑图谱专业委员会、数字文化遗产专业委员会委员

  • 中国计算机学会,计算艺术分会、自然语言处理专委会执行委员

  • 中国通信学会,移动传媒与文化计算专业委员会委员

  • 中国文字字体设计与研究中心(北京大学),专家委员会委员

  • 第十五届全国数字博物馆与文化遗产数字化及保护研讨会,程序委员会主席

  • 第三届中国文化计算大会,程序委员会副主席

  • 亚太人工智能学会(AAIA),高级会员


代表性论文:

  • Xiaojun Qiao, Rui Li, Huimin Huang, Yang Hong, Xiaoran Li, Ziyue Li, Siyi Chen, Lizhi Yang, ShengTeng Ong, Yi Yao, Fengpeng Wang, Xiaobin Zhang, Gaomin Lin, Yongna Xiao, Mingxiang Weng, Junsong Zhang*, Exploring the neural mechanisms underlying cooperation and competition behavior: Insights from SEEG Hyperscanning, iScience, 2025, 28(2): 111506. (Cell子刊)

  • Yao Zeng, Xiaoyu Liu, Yijun Wang, Junsong Zhang*. Color Hint-guided Ink Wash Painting Colorization with Ink Style Prediction Mechanism, ACM Transactions on Applied Perception, 2024, 21(3): 1-21.

  • Yijun Wang, Rui Lang, Rui Li, and Junsong Zhang*, NRTR: Neuron Reconstruction with Transformer from 3D Optical Microscopy Images, IEEE Transactions on Medical Imaging, 2024, 43(2): 886-898.

  • Huimin Huang, Rui Li, Xiaojun Qiao, Xiaoran Li, Ziyue Li, Siyi Chen, Yi Yao, Fengpeng Wang, Xiaobin Zhang, Kaomin Lin, Junsong Zhang*. Attentional Control Influence Habituation through Modulation of Connectivity Patterns within the Prefrontal Cortex: Insights from Stereo-EEG, NeuroImage, 2024, 294:120640.

  • Yang Hong, Yinfei Li, Xiaojun Qiao, Junsong Zhang*, Conditional Font Generation with Content Pre-train and Style Filter, Computer Graphics Forum, 2024.

  • Xiaoyu Liu, Shaoqiang Zhu, Yao Zeng, Junsong Zhang*, Adversarial Interactive Cartoon Sketch Colorization with Texture Constraint and Auxiliary Auto-encoder, Computer Graphics Forum, 2023. 42(6): 1-12.

  • Junsong Zhang*, Zuyi Yang, Zhitang Lu, Qinghui Dai, Jinhui Yu, Creating Word Paintings Jointly Considering Semantics, Attention and Aesthetics, ACM Transactions on Applied Perception, 2022. 19(3):1–21.

  • Sara Lariviere, Jessica Royer, Raul R. Cruces, …, Junsong Zhang, …, and Boris Bernhardt, Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression, Nature Communications, 2022, 13, 4320. (Nature 子刊)

  • Sara Larivière, Raúl Rodríguez-Cruces, Jessica Royer, …, Junsong Zhang, …, and Boris C. Bernhardt, Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study, Science Advances, 2020, 6(47): eabc6457.(Science子刊)

  • Rui Li, Muye Zhu, Junning Li, Michael S. Bienkowski, Nicholas N. Foster, Tyler Ard, Ian Bowman, Houri Hintiryan, Changle Zhou, Junsong Zhang*, HongWei Dong*,G-Cut: Precise Segmentation of Densely Connected Neuron Clusters, Nature Communications, 2019, 10: 1549. (Nature 子刊)(该工作被国家自然科学基金委在《Science Foundation in China》作为研究亮点(Research Highlights)报道,2019年第2期)

  • Jiajing Zhang, Jinhui Yu, Kang Zhang, Xianjun Zheng, Junsong Zhang, Computational Aesthetic Evaluation of Logos, ACM Transactions on Applied Perception, 2017, 14(3): 1-21.

  • Junsong Zhang*, Jiepeng Fan, Zhenshan Luo, Generating Multi-destination Maps, IEEE Transactions on Visualization and Computer Graphics, 2017, 23(8):1964-1976.