徐舫舟

个人简历

研究方向

学术兼职

科研项目

代表性论文

教学工作

荣誉奖励

工作经历

2015.09-至今：副教授，齐鲁工业大学，光电科学与技术学部

教育背景

2010.09-2014.12：山东大学，通信与信息系统，工学博士学位

1. 脑机接口

2. 边缘计算

3. 机器视觉

1. 国家重点研发计划"生物与信息融合（BT与IT融合）专项"，2023YFF1203900, 2023YFF1203901，高精度生物感知觉反馈操纵技术与系统，2023.11-2026.10，7800万元，2/18，负责人（校内）

2. 横向项目，QL2023320，错误相关脑电算法优化，2023.7-2023-10，20万元，1/3，负责人

3. 山东省自然基金面上项目，ZR2022MF289，基于脑机接口的脊髓损伤临床康复机制研究，2023.01-2025.12，10万元，1/8，负责人

4. 山东省高等学校“青创科技计划”，2019KJN010，人机协同智能康复平台，2020.01-2022.12，18万元，1/6，负责人

5. 国家自然科学基金项目，61701270，用于运动想象的脑机接口深度学习模型的高效算法研究，2018.01-2020.12，29.16万元，1/7，负责人

6. 横向项目，QL2020239，基于边缘智能网关的心脑血管疾病监测系统的研发与应用，2020.12-2021.02，15万元，1/5，负责人

[1] Fangzhou Xu, Weiyou Shi, Chengyan Lv, Yuan Sun, Shuai Guo, Chao Feng, Yang Zhang, Tzyy-Ping Jung, Jiancai Leng. Enhancing motor imagery classification with residual graph convolutional networks and multi-feature fusion[J]. International journal of neural systems, 2025, 35(1): 2450069.

[2] Chen Wang, Xiuquan Jiang, Chengyan Lv, Qi Meng, Pengcheng Zhao, Di Yan, Chao Feng, Fangzhou Xu*, Shanshan Lu*, Tzyy-Ping Jung, Jiancai Leng*. GraphSleepFormer: a multi-modal graph neural network for sleep staging in OSA patients[J]. Journal of Neural Engineering, 2025, 22(2): 026011.

[3] Jiancai Leng, Jiaqi Zhao, Yongjian Wu, Chengyan Lv, Zhixiao Lun, Yanzi Li, Chao Zhang, Bin Zhang, Yang Zhang, Fangzhou Xu*, Changsong Yi*, Tzyy-Ping Jung*. Coherence-based graph convolution network to assess brain reorganization in spinal cord injury patients[J]. International journal of neural systems, 2025: 2550021.

[4] Jiancai Leng, Han Li, Weiyou Shi, Licai Gao, Chengyan Lv, Chen Wang, Fangzhou Xu*, Yang Zhang*, Tzyy-Ping Jung*. Time-frequency-space EEG decoding model based on dense graph convolutional network for stroke[J]. IEEE Journal of Biomedical and Health Informatics, 2024.

[5] Jiancai Leng, Licai Gao, Xiuquan Jiang, Yitai Lou, Yuan Sun, Chen Wang, Jun Li, Heng Zhao, Chao Feng, Fangzhou Xu*, Yang Zhang*, Tzyy-Ping Jung*. A multi‐feature fusion graph attention network for decoding motor imagery intention in spinal cord injury patients[J]. Journal of Neural Engineering, 2024, 21(6): 066044.

[6] Jiancai Leng, Xin Yu, Chongfeng Wang, Jinzhao Zhao, Jianqun Zhu, Xinyi Chen, Zhaoxin Zhu, Xiuquan Jiang, Jiaqi Zhao, Chao Feng, Qingbo Yang, Jianfei Li, Lin Jiang, Fangzhou Xu*, Yang Zhang*. Functional connectivity of EEG motor rhythms after spinal cord injury[J]. Cognitive Neurodynamics, 2024, 18(5): 3015-3029.

[7] Fangzhou Xu, Zhaoxin Zhu, Chao Feng*, Jiancai Leng, Peng Zhang , Xin Yu, Chongfeng Wang, Xinyi Chen. An object planar grasping pose detection algorithm in low-light scenes[J]. Multimedia Tools and Applications, 2024: 1-22.

[8] Ming Liu, Yanbing Liu, Weiyou Shi, Yitai Lou, Yuan Sun, Qi Meng, Dezheng Wang, Fangzhou Xu, Yang Zhang*, Lei Zhang*, Jiancai Leng*. EMPT: a sparsity Transformer for EEG-based motor imagery recognition[J]. Frontiers in Neuroscience, 2024, 18: 1366294.

[9] Fangzhou Xu, Ming Liu, Xinyi Chen, Yihao Yan, Jinzhao Zhao, Yanbing Liu, Jiaqi Zhao, Shaopeng Pang, Sen Yin*, Jiancai Leng*, Yang Zhang*. Time–frequency–space transformer EEG decoding for spinal cord injury[J]. Cognitive Neurodynamics, 2024: 1-16.

[10] Fangzhou Xu, Yihao Yan, Jianqun Zhu, Xinyi Chen, Licai Gao, Yanbing Liu, Weiyou Shi, Yitai Lou, Wei Wang, Jiancai Leng, Yang Zhang, Self-supervised eeg representation learning with contrastive predictive coding for post-stroke[J]. International Journal of Neural Systems, 2023.

[11] Fangzhou Xu, Chongfeng Wang, Xin Yu, Jinzhao Zhao, Ming Liu, Jiaqi Zhao, Licai Gao, Xiuquan Jiang, Zhaoxin Zhu,Yongjian Wu, Dezheng Wang, Shanxin Feng, Sen Yin,Yang Zhang, Jiancai Leng, One-dimensin local binary pattern and common spatial pattern feature fusion brain network for central neuropathic pain[J], International Journal of Neural Systems,2023, 33(6):2350030.

[12] Jiancai Leng , Jianqun Zhu , Yihao Yan , Xin Yu , Ming Liu, Yitai Lou , Yanbing Liu , Licai Gao , Yuan Sun , Tianzheng He , Qingbo Yang , Chao Feng , Dezheng Wang , Yang Zhang, Qing Xu, Fangzhou Xu*, Multi-level laser induced pain measurement with wasserstein generative adversarial network-gradient penalty model[J]. International Journal of Neural Systems, 2023.

[13] Jiancai Leng, Xinyi Chen, Jinzhao Zhao, Chongfeng Wang, Jianqun Zhu, Yihao Yan, Jiaqi Zhao, Weiyou Shi, Zhaoxin Zhu, Xiuquan Jiang, Yitai Lou, Chao Feng, Qingbo Yang,  Fangzhou Xu(通讯作者), A light vehicle license-plate-recognition system based on hybrid edge–cloud computing[J]. Sensors, 2023, 23(21): 8913.

本科生课程

1. 《有机波谱分析》（32学时）

研究生课程

1. 《纳米材料》（32学时）

指导研究生

毕业10人，在培10人

1. 2024年，山东省研究生创新成果奖，指导教师，1/2

2. 2023年，山东省研究生创新成果奖，指导教师，1/2