Multimodal Realtime Spatiotemporal Data Fusion,  Egde Intelligence, Artificial Intelligent Transportation Systems, Complex Intelligent Systems

2005-2009 University of Electronic Science and Technology of China, Computer Science, Ph.D 

2000-2003 University of Electronic Science and Technology of China, Computer Science, M.S

2011.8~            Professor with Shenzhen Institute of Advanced Technology, CAS.

2008.5~2011.7 Assistant Professor with Shenzhen Institute of Advanced Technology, CAS.

2023:

Ku, Y., Guo, C., Zhang, K., Cui, Y., Shu, H., Yang, Y., & Peng, L. (2023). Toward Directed Spatiotemporal Graph: A New Idea for Heterogeneous Traffic Prediction. IEEE Intelligent Transportation Systems Magazine.

Cui, Y., Shi, W., Yang, H., Shao, C., Peng, L., & Li, H. (2023). Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation. IEEE Transactions on Industrial Informatics.

Wang, J., Xia, L., Peng, L., Li, H., & Cui, Y. (2023). Efficient Uncertainty Propagation in Model-Based Reinforcement Learning Unmanned Surface Vehicle Using Unscented Kalman Filter. Drones, 7(4), 228.

Cui, Y., Xu, K., Zheng, C., Liu, J., Peng, L., & Li, H. (2023). Flexible unmanned surface vehicles control using probabilistic model-based reinforcement learning with hierarchical Gaussian distribution. Ocean Engineering, 285, 115467.

Wang, Y., Ku, Y., Liu, Q., Yang Y. & Peng, L (2023). Large-scale Parking Data Prediction: From A Graph Coarsening Perspective, In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) 

Ku, Y., Wang, Y., Liu, Q., Yang Y. & Peng, L (2023). TEDGCN: Asymmetric Spatiotemporal GNN for Heterogeneous Traffic Prediction, In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) 

Sun, Y., Zhang, K.S., Liu, Q., Yang, Y.& Peng, L. (2023). Efficient Large-Scale Parking Data Prediction based on Parking Zone Division, In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) 

2022:

Cui, Y., Peng, L., & Li, H. (2022). Filtered probabilistic model predictive control-based reinforcement learning for unmanned surface vehicles. IEEE Transactions on Industrial Informatics, 18(10), 6950-6961.

Zheng, C., Li, W., Li, W., Xu, K., Peng, L., & Cha, S. W. (2022). A deep reinforcement learning-based energy management strategy for fuel cell hybrid buses. International Journal of Precision Engineering and Manufacturing-Green Technology, 9(3), 885-897.

Luo, Q., Zhou, Y., Hou, W., & Peng, L. (2022). A hierarchical blockchain architecture based V2G market trading system. Applied Energy, 307, 118167.

Liu, Q., Shu, H., Peng, L., Lv, L., Zhang, O., & Yuan, G. (2022, October). Research and Practice on the Construction of Connected Vehicle in the Greater Bay Area under the Smart City. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1882-1885). IEEE.

Wang, J., Xu, K., Shao, C., Peng, L., & Cui, Y. (2022, October). Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1094-1099). IEEE.

Zhao, Z., Yang, B., Shu, H., Liu, Q., Zhang, K., & Peng, L. (2022, October). Sensing Intrusion Detection for Automatic Driving System based on Scene Semantic Centroid. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1075-1081). IEEE.

Zhou, R., He, H., Shu, H., Liu, Q., Zhang, K., & Peng, L. (2022, October). Exploration of Adaptive Energy Optimization for 5G Roadside Unit. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (pp. 761-766). IEEE.

2021:

Yu, J., Zhang, K., & Peng, L. (2021, October). Integrated Prediction of Regional Traffic Situation Based on Multi-Task Spatial-Temporal Network. In IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE.

2020:

Sun, T., Jia, C., Liang, J., Li, K., Peng, L., Wang, Z., & Huang, H. (2020). Improved modulated model‐predictive control for PMSM drives with reduced computational burden. IET Power Electronics, 13(14), 3163-3170.

Zou, W., Sun, Y., Zhou, Y., Lu, Q., Nie, Y., Sun, T., & Peng, L. (2020). Limited sensing and deep data mining: A new exploration of developing city-wide parking guidance systems. IEEE Intelligent Transportation Systems Magazine, 14(1), 198-215.

Sun, T., Wang, J., Jia, C., & Peng, L. (2020). Integration of FOC with DFVC for interior permanent magnet synchronous machine drives. IEEE Access, 8, 97935-97945.

Zhang, J., Zhu, M., & Peng, L. (2020, September). Customized Parking Data Generation based on Multi-conditional GAN. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)(pp. 1-6). IEEE.

2019:

Chen, H., Chen, G., Lu, Q., & Peng, L. (2019, October). MMSE-based optimized transfer strategy for transfer prediction of parking data. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 407-412). IEEE.

Lu, Q., Tang, Z., Nie, Y., & Peng, L. (2019, October). ParkingRank-D: A Spatial-temporal Ranking Model of Urban Parking Lots in City-wide Parking Guidance System. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC)(pp. 388-393). IEEE.

2018:

Peng, L., & Li, H. (2016, November). Searching parking spaces in urban environments based on non-stationary Poisson process analysis. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)(pp. 1951-1956). IEEE.

Dong, S., Chen, M., Peng, L., & Li, H. (2018, February). Parking rank: A novel method of parking lots sorting and recommendation based on public information. In 2018 IEEE International Conference on Industrial Technology (ICIT)(pp. 1381-1386). IEEE.

Sun, Y., Peng, L., Li, H., & Sun, M. (2018, November). Exploration on spatiotemporal data repairing of parking lots based on recurrent GANs. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC)(pp. 467-472). IEEE.

Fang, X., Xiang, R., Peng, L., Li, H., & Sun, Y. (2018, October). SAW: a hybrid prediction model for parking occupancy under the environment of lacking real-time data. In IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society (pp. 3134-3137). IEEE.

Sun, M., Li, Z., Peng, L., Li, H., & Fang, X. (2018, November). FLOPS: an efficient and high-precision prediction on available parking spaces in a long time-span. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC) (pp. 2937-2942). IEEE.

[1] 彭磊, 孙悦, 张康帅, 杨旸, 舒洪峰, 刘琪. 一种模型训练方法、装置、计算机设备及存储介质. CN202311176675.7, 2023-09-12.
[2] 彭磊, 王一轩, 杨旸, 舒洪峰, 刘琪. 时空数据的预测方法、装置、计算机设备及存储介质. CN202311177542.1, 2023-09-12.
[3] 彭磊, 库亦轩, 舒洪峰, 刘琪, 杨旸. 一种基于有向图的区域交通预测方法、装置、设备及介质. CN202311177552.5, 2023-09-12.
[4] 崔允端, 李慧云, 彭磊. 一种概率滤波强化学习无人船控制方法、装置及终端设备. CN: CN114371700B, 2023-07-18.
[5] 彭磊, 舒洪峰, 周睿, 刘琪, 崔允端, 徐婷. 一种确定路侧单元工作效率的方法及相关装置. CN: CN115103331A, 2022-09-23.
[6] 彭磊, 舒洪峰, 赵子琪, 徐婷, 崔允端, 朱栋文. 异常检测方法、装置、电子设备及计算机可读存储介质. CN: CN114863394A, 2022-08-05.
[7] 于家傲, 彭磊. 一种基于时空关系抽取的区域交通状况集成预测方法. CN: CN114519932A, 2022-05-20.
[8] 崔允端, 李慧云, 彭磊. 一种概率滤波强化学习无人船控制方法、装置及终端设备. CN: CN114371700A, 2022-04-19.
[9] 彭磊, 吴伟伟. 一种停车数据修复方法、装置、计算机设备以及存储介质. CN: CN113643564A, 2021-11-12.
[10] 于家傲, 彭磊. 一种区域交通的预测方法以及设备. CN: CN113643532A, 2021-11-12.
[11] 彭磊, 孙玉强, 李慧云. 停车场的数据修补方法、装置、设备及存储介质. CN: CN109033170B, 2021-07-16.
[12] 彭磊, 张俊楠, 李慧云. 基于多条件约束的时间序列数据生成方法、装置及介质. CN: CN111475496A, 2020-07-31.
[13] 于家傲, 彭磊, 李慧云. 一种对抗图像生成方法、装置、设备以及可读存储介质. CN: CN111475797A, 2020-07-31.
[14] 彭磊, 张康帅, 李慧云. 停车场服务区域的确定方法、装置、设备以及存储介质. CN: CN111445075A, 2020-07-24.
[15] 彭磊, 鲁庆豪. 基于时空特征的城市停车场排序方法、装置、终端及介质. CN: CN110288184A, 2019-09-27.
[16] 彭磊, 聂焱. 基于时空特征的停车诱导方法、装置、设备及存储介质. CN: CN110189537A, 2019-08-30.
[17] 彭磊, 邹万, 李慧云. 基于DCGAN的停车数据修补方法、装置、设备及存储介质. CN: CN109214422A, 2019-01-15.
[18] 彭磊, 孙敏, 李慧云. 可用停车位数目变化的预测方法、装置、设备及存储介质. CN: CN108091166A, 2018-05-29.
[19] 彭磊, 李慧云, 房祥彦. 停车场泊位占用率预测方法、装置、设备及存储介质. CN: CN108010378A, 2018-05-08.
[20] 彭磊, 董适, 李慧云. 一种停车诱导方法、装置、计算设备及存储介质. CN: CN107886717A, 2018-04-06.
[21] 周信玲, 彭磊, 李慧云. 车辆隐私保护方法、装置、设备及存储介质. CN: CN107396285A, 2017-11-24.
[22] 彭磊, 李慧云. 一种停车群体诱导方法及装置. CN: CN106781652A, 2017-05-31.
[23] 彭磊, 李慧云. 一种车载停车诱导方法和装置. CN: CN106710296A, 2017-05-24.
[24] 彭磊, 李慧云. 停车场可用车位预测方法及系统. CN: CN106503840A, 2017-03-15.
[25] 周翊民, 颜廷鑫, 程鹏, 彭磊. 一种基于改进概率神经网络的负载识别方法. CN: CN106327357A, 2017-01-11.
[26] 彭磊, 李慧云. 车载路侧停车位的检测方法、检测设备以及检测系统. CN: CN106297401A, 2017-01-04.
[27] 彭磊, 李慧云, 周翊民, 赵昌兴. 一种城市级停车诱导方法、装置及电子设备. CN: CN106228841A, 2016-12-14.
[28] 李慧云, 周启航, 彭磊, 耿永清, 徐国卿. 一种应用于公路列车数据认证鉴权的车载终端. CN: CN204408362U, 2015-06-17.
[29] 李慧云, 周启航, 彭磊, 耿永清, 徐国卿. 公路列车数据认证鉴权方法及车载终端. CN: CN104717071A, 2015-06-17.
[30] 彭磊, 于峰崎, 周建, 范小磊. RFID物流管理系统. CN: CN103824173A, 2014-05-28.
[31] 彭磊, 羊倩婷. RFID读写器. CN: CN302808769S, 2014-04-30.
[32] 彭磊, 李慧云, 耿永清, 徐国卿. 一种电源适配模块及内置该电源适配模块的车载电子装置. CN: CN203574538U, 2014-04-30.
[33] 涂宏宇, 彭磊, 李慧云, 徐国卿. 智能车载终端系统. CN: CN103685524A, 2014-03-26.
[34] 李慧云, 彭磊, 徐国卿. 利用车况和驾驶员生理参数进行交通预警的方法及系统. CN: CN103606247A, 2014-02-26.
[35] 李慧云, 徐国卿, 彭磊. 对硅通孔进行动态规划布线的方法. CN: CN103500240A, 2014-01-08.
[36] 彭磊, 李慧云, 耿永清. 一种车载电子装置. CN: CN103481835A, 2014-01-01.
[37] 彭磊, 李慧云, 耿永清, 徐国卿. 一种车载电子装置. 中国: CN103481835A, 2014-01-01.
[38] 彭磊. 手机外置式RFID读写器. CN: CN202650042U, 2013-01-02.
[39] 彭磊. 电子称终端、电子称管理中心及电子称网络管理装置. CN: CN201707705U, 2011-01-12.
[40] 彭磊. RFID物流管理系统. CN: CN201698487U, 2011-01-05.
[41] 彭磊, 于峰崎, 耿永清, 范小磊, 周建. 电子结算终端及方法. CN: CN101901524A, 2010-12-01.
[42] 彭磊, 于峰崎, 耿永清, 周建, 范小磊. 基于射频识别的果蔬供应链监管与追溯系统. CN: CN101706893A, 2010-05-12.
[43] 李慧云, 李一农, 于峰崎, 王峻, 袁海, 李芳荣, 彭磊, 罗焕亮, 娄定风. 一种木包装检疫检验的系统和方法. CN: CN101075340A, 2007-11-21.

[44]Lei PENG，Junnan ZHANG，Huiyun LI，“METHOD AND APPARATUS FOR GENERATING TIME SERIES DATA BASED ON MULTI-CONDITION CONSTRAINTS AND MEDIUM”，US20220253351 Al，2022/8/11

[45]Lei PENG，Yuqiang Sun，Huiyun Li，“PARKING LOT DATA REPAIR. METHOD AND APPARATUS, DEVICE AND STORAGE MEDIUM”，US11295619 B2，2022/4/5

1) My students have participated in various types of key technical R&D projects in ITS field funded by government and industry.

2) My students have harvested rich research achievements and published papers in reputable SCI journals of ITS,  as well as  the top international conference on ITS.

3) My students have earned plenty of offers from the reputable industrial employer, such as Huawei, Ali Baba, Tencent as well as BYD.

4) 1-2 international students are expected annually.

2022-2023 Annually Excellent Academic Supervisor of SIAT.