刘华平

副研究员，博士生导师

电子邮件 hpliu@tsinghua.edu.cn 

教育背景

工学学士 (机械工程), 上海理工大学, 中国, 1997;

工学硕士 (电气工程), 同济大学, 中国, 2000;

工学博士 (计算机科学与技术), 清华大学, 中国, 2004.

学术兼职

IEEE Senior Member

中国人工智能学会理事

中国人工智能学会“认知系统与信息处理专业委员会”秘书长

中国计算机学会计算机视觉专业组委员

中国自动化学会智能自动化委员会委员

社会兼职

1.Associate Editor, Cognitive Computation (2016-present)

2.Associate Editor, International Journal of Advanced Robotic Systems (2016-present)

3.Associate Editor, IEEE Robotics and Automation Letters (2015-present)

4.Associate Editor, International Journal of Control, Automation, and Systems (2015-present)

5.Associate Editor, Neurocomputing (2014-present)

6.Program Committee Member, International Joint Conference on Neural Networks (IJCNN), Anchorage, Alaska, U.S.A., 2017

7.Program Committee Member, Robotics: Science and Systems Conference (RSS), University of Michigan, 2016

8.Associate Editor, International Conference on Robotics and Automation (ICRA), Singapore, 2017

9.Associate Editor, International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016

10.Associate Editor, International Conference on Robotics and Automation (ICRA), Seattle, U.S.A., 2015

11.Associate Editor, International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017

12.Associate Editor, International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 2016

13.Associate Editor, International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015

14.Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI), New York City, U.S.A., 2016

研究领域

机器人感知、学习与控制

多模态信息融合

研究概况

利用稀疏编码建立了机器人多模态融合感知与学习框架，在此基础上结合机器人的光学、红外、深度和触觉等不同模态信息开发了一系列多模态稀疏编码方法，并在移动机器人、灵巧机械臂等机器人平台上开展多模态感知融合的方法验证与应用。

研究项目                                                                                                                                                           

国家自然科学基金面上项目：机器人视-触多模态信息融合识别的结构化稀疏编码方法（61673238）：2017-2020

国家自然科学基金联合基金重点项目：服务机器人灵巧操作的多模态感知融合与人机交互（U1613212）：2017-2020

学术成果

1.Huaping Liu, Yupei Wu, Fuchun Sun, Weakly-paired multi-modal fusion for object recognition,  IEEE Transactions on Automation Science and Engineering, Accepted

2.Huaping Liu, Fuchun Sun, Di Guo, Bin Fang, Structured output-associated dictionary learning for haptic understanding, IEEE Transactions on Systems, Man and Cybernetics: Systems, In press

3.Huaping Liu, Fuchun Sun, Bin Fang, Xinyu Zhang, Robotic room-level localization using multiple sets of sonar measurements, IEEE Transactions on Instrumentation and Measurement, vol.66, no.1, 2017, pp.2-13

4.Huaping Liu, Jie Qin, Fuchun Sun, Di Guo, Extreme kernel sparse learning for tactile object recognition, IEEE Transactions on Cybernetics, In press

5.Huaping Liu, Yuanlong Yu, Fuchun Sun, Jason Gu, Visual-tactile fusion for object recognition, IEEE Transactions on Automation Science and Engineering, In press

6.Huaping Liu, Di Guo, Fuchun Sun, Object recognition using tactile measurements: Kernel sparse coding methods, IEEE Transactions on Instrumentation and Measurement, vol.65, no.3, 2016, pp.656-665

7.Huaping Liu, Yunhui Liu, Fuchun Sun, Robust exemplar extraction using structured sparse coding, IEEE Transactions on Neural Networks and Learning Systems, vol.26, no.8, 2015, pp.1816-1821

8.Huaping Liu, Yunhui Liu, Yuanlong Yu, Fuchun Sun, Diversified key frame selection using structured L2,1 optimization, IEEE Transactions on Industrial Informatics, vol.10, no.3, 2014, pp.1736-1745

9.Huaping Liu, Mingyi Yuan, Fuchun Sun, Jianwei Zhang, Spatial neighborhood-constrained linear coding for visual object tracking, IEEE Transactions on Industrial Informatics, vol.10, no.1, 2014, pp.469-480