Automated Essay Scoring based on Two-Stage Learning. - Jiawei Liu; Yang Xu 020; Lingzhe Zhao (CoRR, 2019)

An Ensemble Model for Tumor Type Identification and Cancer Origins Classification. - Chenzhao Feng; Tianyu Xiang; Zixuan Yi; Lingzhe Zhao; Sisi He; Kunming Tian (EMBC, 2021)

BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields. - Peng Wang; Lingzhe Zhao; Ruijie Ma; Peidong Liu (CoRR, 2022)

BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields. - Peng Wang 141; Lingzhe Zhao; Ruijie Ma; Peidong Liu (CVPR, 2023)

USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields. - Moyang Li; Peng Wang 141; Lingzhe Zhao; Bangyan Liao; Peidong Liu (CoRR, 2023)

MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation. - Zhiqi Li; Yiming Chen; Lingzhe Zhao; Peidong Liu (CoRR, 2023)

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting. - Lingzhe Zhao; Peng Wang 141; Peidong Liu (ECCV (25), 2024)

USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields. - Moyang Li; Peng Wang; Lingzhe Zhao; Bangyan Liao; Peidong Liu (ICLR, 2024)

DerainNeRF: 3D Scene Estimation with Adhesive Waterdrop Removal. - Yunhao Li; Jing Wu; Lingzhe Zhao; Peidong Liu (ICRA, 2024)

Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting. - Zhiqi Li; Yiming Chen; Lingzhe Zhao; Peidong Liu (CoRR, 2024)

MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation. - Peng Wang; Lingzhe Zhao; Yin Zhang; Shiyu Zhao; Peidong Liu (CoRR, 2024)

A self-supervised monocular odometry with visual-inertial and depth representations. - Lingzhe Zhao; Tianyu Xiang; Zhuping Wang (J. Frankl. Inst., 2024)

CasualHDRSplat: Robust High Dynamic Range 3D Gaussian Splatting from Casually Captured Videos. - Shucheng Gong; Lingzhe Zhao; Wenpu Li; Hong Xie; Yin Zhang; Shiyu Zhao; Peidong Liu (CoRR, 2025)

SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment. - Qi Xu; Dongxu Wei; Lingzhe Zhao; Wenpu Li; Zhangchi Huang; Shunping Ji; Peidong Liu (CoRR, 2025)