Pose Refinement: Bridging the Gap Between Unsupervised Learning and Geometric Methods for Visual Odometry. - Lanqing Zhang; Ge Li 002; Thomas H. Li (ICASSP, 2020)

Twinvo: Unsupervised Learning of Monocular Visual Odometry Using Bi-Direction Twin Network. - Xing Cai; Lanqing Zhang; Chengyuan Li; Ge Li 002; Thomas H. Li (ICME Workshops, 2020)

Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation. - Chengyuan Li; Lanqing Zhang; Xing Cai; Keyao Li; Ge Li 002; Thomas H. Li (ICTAI, 2020)

Temporal-Aware SfM-Learner: Unsupervised Learning Monocular Depth and Motion from Stereo Video Clips. - Lanqing Zhang; Ge Li 002; Thomas H. Li (MIPR, 2020)

VONAS: Network Design in Visual Odometry using Neural Architecture Search. - Xing Cai; Lanqing Zhang; Chengyuan Li; Ge Li 002; Thomas H. Li (ACM Multimedia, 2020)

Feature Extraction for Moving Targets Based on the Statistical Characteristics of Echo Amplitude with the L-Band Fully Polarimetric Radar. - Chuang Zhang; Yaxin Mu; Zhenghuan Xia; Shichao Jin; Fuzhan Yue; Xin Liu 111; Lanqing Zhang; Zhixin Tian; Zongqiang Liu; Yao Zhang; Wenning Gao; Tao Zhang 023; et al. (Remote. Sens., 2023)

InfNeRF: Towards Infinite Scale NeRF Rendering with O(log n) Space Complexity. - Jiabin Liang; Lanqing Zhang; Zhuoran Zhao 003; Xiangyu Xu 002 (SIGGRAPH Asia, 2024)