
基本信息
刘熙,助理教授,硕士生导师
教育背景
● 2008.09-2012.07,西安交通大学,自动化,工学学士
● 2012.09-2019.03,西安交通大学,计算机科学与技术,工学博士
研究方向
状态估计理论及其应用,机器人定位、脑机接口
工作经历
● 2021.12-至今,博彩网址-博彩平台网址-最新博彩网址 ,助理教授
● 2019.02-2021.02,香港科技大学电子与计算机工程系,博士后
招生专业
● 信息与通信工程(学术型)
● 电子信息(专业型)
讲授课程
● 人工智能概论(本科)
● 传感器与检测技术(本科)
● 物流网导论(本科)
科研项目
长期从事状态估计理论及应用、脑机接口等方面研究,目前主持广州市基础研究计划基础与应用基础研究项目一项,并先后参与了国家自然科学基金面上项目、国家重点基础研究发展计划(973计划)项目子课题、深圳-香港创新圈D类项目等课题
代表性科研成果
[1] Liu, X., et al. “Linear and Nonlinear Regression-Based Maximum Correntropy Extended Kalman Filtering,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 5, pp. 3093-3102, 2021.
[2] Liu, X., et al. “Hierarchical Dynamical Model for Multiple Cortical Neural Decoding,” Neural Computation, vol. 33, no. 5, pp. 1372-1401, 2021.
[3] Liu, X., et al. “A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding,” Entropy, vol. 23, no. 6, 743, 2021.
[4] Liu, X., et al. “Maximum Correntropy Square-root Cubature Kalman Filter with Application to SINS/GPS Integrated Systems,” ISA Transactions, vol. 80, pp. 195-202, 2018.
[5] Liu, X., et al. “Maximum correntropy Kalman filter with state constraints,” IEEE Access, vol. 5, pp. 25846-25853, 2017.
[6] Liu, X., et al. “State space least p-power filter,” Digital Signal Processing, vol. 63, pp. 1-9, 2017.
[7] Liu, X., et al. “Maximum correntropy unscented filter,” International Journal of Systems Science, vol. 48, no. 8, pp. 1607-1615, 2017.
[8] Liu, X., et al. “State space maximum correntropy filter,” Signal Processing, vol. 130, pp. 152–158, 2017.
[9] Chen, B., Liu, X., et al. “Maximum correntropy Kalman filter,” Automatica, vol. 76, pp. 70–77, 2017. (ESI高被引)
[10] Liu, X., et al. “Maximum correntropy unscented Kalman filter for spacecraft relative state estimation,” Sensors, vol. 16, no. 9, 1530, 2016.
主要学术兼职
《Automatica》, 《IEEE Transactions on Cybernetics》, 《IEEE Transactions on Systems, Man, and Cybernetics: Systems》, 《ISA Transactions》, 《Journal of The Franklin Institute》, 《IEEE Access》, 21st IFAC World Congress等国际著名期刊或旗舰会议审稿人。