教授,博士生导师
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完成的部分项目 |
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1、国家自然科学基金面上项目—面向轨道交通宽带无线通信的大规模多智能体认知无线频谱管理的关键性技术研究(项目批准号:61471252),2015.01 -2018.12,PI |
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2、横向项目—轨道交通突发事件实时检测技术研究与实现,2015.1-2017.12,Co-PI |
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3、横向项目—有轨电车轨道障碍物检测及预警关键技术研究,2014.3-2016.12,Co-PI |
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4、计算机及信息技术国家级实验教学示范中心/智慧交通创新实验室子课题,2014.06 -2015.10,Co-PI |
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5、苏州市科技计划项目前瞻性应用研究—基于机器视觉和视频大数据的轨道交通异常事件预警应用技术研究(项目批准号:SYG201715),2017.1-2019.12,PI |
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6、苏州市市级加快信息化建设专项资金扶持项目— 轨道交通视频大数据云平台(批准号:04860457),2016.1-2018.12,PI |
在研科研项目 |
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1、机器人视频大数据解决方案,科沃斯机器人股份有限公司,2022, 合同编号:H220025,101万 |
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2、基于多源光学数据时空融合的轨道交通动态环境高精度语义解析方法研究,国家自然科学基金面上项目,项目批准号:62275186,项目起止年月:2023年01月至2026年12月,59万 |
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3、教育部科技发展中心高校产学研创新基金—面向复杂环境的轨道交通智能障碍物检测系统(项目批准号:2020QTXX),2020.9-2022.8, PI |
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4、轨道交通控制与安全国家重点实验室开放课题—基于频谱态势协同感知和演变预测的高速铁路电磁频谱空间认知关键技术研究(项目批准号:RCS2020K011),2020.1-2021.12, PI |
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5、横向项目—基于机器视觉的轨道交通全自动运行安全平台关键技术研究及示范应用,2019.9-2022.6,Co-PI |
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6、横向项目—基于机器视觉和雷达技术的列车障碍物检测系统,2018.01-2020.12,Co-PI |
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7、横向项目—大型城市综合体与人群集中地人流安全管控体系设计咨询服务,2018.1-2020.12,Co-PI |
1、Xingqiang Cai; Cheng Wu*; Jie Sheng*; Yiming Wang; Bo Ai, "Spectrum Situation Awareness Based on Time-Series Depth Networks for LTE-R Communication System," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8629-8640, July 2022, doi: 10.1109/TITS.2021.3083968. (中科院一区) |
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2、Hao Yuan, Cheng Wu, and Feng Xie, "Sim-Radon-based shape descriptor for deformable pattern recognition," Opt. Lett. 47, 5933-5936 (2022)(SCI, EI Compendex) 二区 |
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3、Wu C, Sheng J, Wang Y, et al. Spectrum Situation Awareness for Future Railway IoT: Challenges, Opportunities And Key Technologies[J]. 2022.(SCI, EI Compendex) 一区 |
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4、Cheng Wang,Cheng Wu* ,Jie Sheng, Bo Ai ,Yiming Wang, “Optimization of Time-frequency Resource Management based on Probabilistic Graphical Models in Railway Internet of Things Networking“, IEEE Internet of Things Journal, 2020. doi: 10.1109/JIOT.2020.3028602 (SCI, EI Compendex) 一区 |
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5、C. Wu, Xingqiang Cai, Jie Sheng*, Ziwen Tang, Bo Ai and Yiming Wang*, “Parameter Adaptation and Situation Awareness of LTE-R Handover for HSR Communications”, IEEE Transactions on Intelligent Transportation Systems, 2020. doi: 10.1109/TITS.2020.3026195 (SCI, EI Compendex) |
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6、C. Wu, H. C Song, C. S. Yan and Y. M. Wang, A Fuzzy-based Function Approximation Technique for Reinforcement Learning, Journal of Intelligent and Fuzzy System, 2016 |
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7、C. Wu, Y. M. Wang and Z. Yin, Realizing Railway Cognitive Radio: A Reinforcement Base-station Multi-agent Model, IEEE Transactions on Intelligent Transportation Systems, 20(4):1452-1467, 2019. |
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8、C. Wu, C. Wang, J. Sheng and Y. M. Wang, Cooperative Learning for Spectrum Management in Railway Cognitive Radio, IEEE Transactions on Vehicular Technology, 68(6):5809-5819, 2019 |
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9、C. Wu, Y. M. Wang and Z. Yin, Energy-efficiency opportunistic spectrum allocation in cognitive wireless sensor network, EURASIP Journal on Wireless Communications and Networking, 2018(1), 13. |
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10、C. Wu, K. Chowdhury, M. Di Felice, and W. Meleis, Spectrum Management of Cognitive Radio Using Multi-agent Reinforcement Learning, Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Toronto, Canada, 2010. |
1、基于认知的LTE-R中资源分配方法,发明专利, 2022 |
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2、一种多域信息的人群密度预警方法,发明专利,2022 |
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3、基于强化学习的LTE-R切换参数选择方法,发明专利,2021 |
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4、一种有轨电车轨道起点的自适应检测方法及装置,发明专利,2020 |
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5、基于多传感器信息融合的障碍物检测方法,发明专利,2019 |
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6、基于视频分析的打架斗殴异常行为自动检测方法,发明专利,2019 |
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7、一种Ad Hoc网络路由的维护方法, 发明专利,2018 |
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8、基于颜色特征的障碍物或阴影检测方法,发明专利,2018 |