People
师资队伍
何力研究副教授，广东省“珠江人才计划”青年拔尖人才，深圳市“孔雀计划”C类人才，广东省“扬帆计划”创新创业团队核心成员。曾就职于广东工业大学机电工程系多年，离任前为该系副教授，青年百人A类。任Computers & Electrical Engineering 副编辑、客座主编，IEEE Access 副编辑，在机器人知名会议如ICRA、ROBIO、WRC SARA等任职，中国人工智能学会第八届全国会员代表。已在TIP、TCYB、PR、IROS、ICRA等国际知名期刊会议发表论文30余篇。主持国基青基、面上各一项，主持项目金额合计300余万元。主要研究兴趣包括机器学习、机器视觉、大规模数据聚类分析、激光导航、SLAM等。
2008-2014, 西北工业大学, 自动化学院, 博士
2010-2011, 阿尔伯塔大学, 计算科学系, 公派联培博士
2006-2009, 西北工业大学, 自动化学院, 硕士
2002-2006, 西北工业大学, 自动化学院, 学士
2021-今, 南方科技大学, 电子与电气工程系, 研究副教授
2018-2021, 广东工业大学, 机电工程学院, 副教授
2017-2018, 广东工业大学, 机电工程学院, 讲师
2014-2017, 阿尔伯塔大学, 计算科学系, 博士后
机器学习
机器视觉
大规模数据聚类分析
激光导航
SLAM
广东省“珠江人才计划”青年拔尖人才
深圳市“孔雀计划”C类人才
广东省“扬帆计划”创新创业团队核心成员
大规模数据聚类分析
1. Li He, Nilanjan Ray, Yisheng Guan and Hong Zhang. Fast Large-Scale Spectral Clustering via Explicit Feature Mapping. IEEE Transactions on Cybernetics, Vol. 49, Issue 3, March 2019, pp. 1058-1071.
2. Li Heand Hong Zhang. Kernel K-means Sampling for Nystrom Approximation. IEEE Transactions on Image Processing, Volume 27, Issue 5, May 2018, pp. 2108-2120.
3. Li He, Nilanjan Ray and Hong Zhang. Error Bound of Nystrom-approximated NCut Eigenvectors and Its Application to Training Size Selection. Neurocomputing, 2017, Vol. 239, May: 130-142.
4. Li Heand Hong Zhang. Iterative Ensemble Normalized Cuts. Pattern Recognition, 2016, Vol. 52, April: 274-286.
激光视觉导航SLAM
1. Li He, Xiaolong Wang, and Hong Zhang. M2DP: A novel 3D point cloud descriptor and its application in loop closure detection. In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, pp.231-237. IEEE, 2016.
2. Weinan Chen, Lei Zhu, Xubin Lin, Yisheng Guan, Li Heand Hong Zhang. Dynamic Strategy of Keyframe Selection with PD Controller for VSLAM Systems. IEEE/ASME Transactions on Mechatronics, to appear.
3. Weinan Chen, Lei Zhu, Chaoqun Wang, Li Heand Max Q.-H. Meng. CEB-Map: Visual Localization Error Prediction for Safe Navigation. IEEE Sensors Journal, vol. 21, no. 10, pp. 11769-11780, 15 May15, 2021. (第一指导教师)
4. Wen JM, He L*and Zhu FM. Swarm Robotics Control and Communications: Imminent Challenges for Next Generation Smart Logistics. IEEE Communications Magazine, 2018, 56(7): 102-107.
5. Xubin Lin, Yirui Yang, Li He, Weinan Chen, Yisheng Guan, Hong Zhang. Robust Improvement in 3D Object Landmark Inference for Semantic Mapping. ICRA 2021.
6. Zhuang Dai, Xinghong Huang, Weinan Chen, Chuangbing Chen, Li He, Shuhuan Wen and Hong Zhang. Keypoint Description by Descriptor Fusion Using Autoencoders. ICRA 2020. (第一指导教师)
7. Zhuang Dai, Xinghong Huang, Weinan Chen, Li Heand Hong Zhang. A Comparison of CNN-Based and Hand-Crafted Keypoint Descriptors. ICRA 2019. (第一指导教师)
8. Xinghong Huang, Zhuang Dai, Weinan Chen, Li He and Hong Zhang. Improving Keypoint Matching Using a Landmark-Based Image Representation. ICRA 2019. (第一指导教师)
9. Lin, W. Chen, Li He, et al. Improving Robustness of Monocular VT&R System with Multiple Hypothesis, ROBIO 2017. (ROBIO 2017 T. J. Tarn Best Paper Awards Finalist, 第一指导教师)
