3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition. - Zhe Liu 022; Shunbo Zhou; Chuanzhe Suo; Yingtian Liu; Hesheng Wang 001; Yun-Hui Liu 001 (CoRR, 2018)

A Multi-Sensor Fusion Based 2D-Driven 3D Object Detection Approach for Large Scene Applications ∗. - Yingtian Liu; Chuanzhe Suo; Zhe Liu 022; Yun-Hui Liu 001 (ROBIO, 2019)

Scale-aware Insertion of Virtual Objects in Monocular Videos. - Songhai Zhang; Xiangli Li; Yingtian Liu; Hongbo Fu 001 (ISMAR, 2020)

Deep Learning-Based Localization and Perception Systems: Approaches for Autonomous Cargo Transportation Vehicles in Large-Scale, Semiclosed Environments. - Zhe Liu 022; Chuanzhe Suo; Yingtian Liu; Yueling Shen; Zhijian Qiao; Huanshu Wei; Shunbo Zhou; Haoang Li; Xinwu Liang; Hesheng Wang 001; Yun-Hui Liu 001 (IEEE Robotics Autom. Mag., 2020)

The development of Spiking Neural Network: A Review. - Jianxiang He; Yanzi Li; Yingtian Liu; Jiyang Chen; Chaoqun Wang 009; Rui Song 002; Yibin Li 001 (ROBIO, 2022)

A Twice Denoising Autoencoder Framework for Random Seismic Noise Attenuation. - Zhangquan Liao; Yong Li; En Xia; Yingtian Liu; Rui Hu (IEEE Trans. Geosci. Remote. Sens., 2023)

Zero-Shot Self-Consistency Learning for Seismic Irregular Spatial Sampling Reconstruction. - Junheng Peng; Yingtian Liu; Mingwei Wang; Yong Li; Huating Li (CoRR, 2024)

Acoustic impedance prediction using an attention-based dual-branch double-inversion network. - Wen Feng; Yingtian Liu; Yong Li; Huating Li; Xiaowen Wang (Earth Sci. Informatics, 2025)