Unsupervised Optic Disc Segmentation for Cross Domain Fundus Image Based on Structure Consistency Constraint. - Xuesheng Bian; Cheng Wang 003; Weiquan Liu; Xiuhong Lin (ICIG (1), 2019)

Ground Camera Images and UAV 3D Model Registration for Outdoor Augmented Reality. - Weiquan Liu; Cheng Wang 003; Yu Zang; Shang-Hong Lai; Dongdong Weng; Xuesheng Bian; Xiuhong Lin; Xuelun Shen; Jonathan Li 001 (VR, 2019)

AE-GAN-Net: Learning Invariant Feature Descriptor to Match Ground Camera Images and a Large-Scale 3D Image-Based Point Cloud for Outdoor Augmented Reality. - Weiquan Liu; Cheng Wang 003; Xuesheng Bian; Shuting Chen; Wei Li 151; Xiuhong Lin; Yongchuan Li; Dongdong Weng; Shang-Hong Lai; Jonathan Li 001 (Remote. Sens., 2019)

Learning to Match 2D Images and 3D LiDAR Point Clouds for Outdoor Augmented Reality. - Weiquan Liu; Baiqi Lai; Cheng Wang 003; Xuesheng Bian; Wentao Yang; Yan Xia 003; Xiuhong Lin; Shang-Hong Lai; Dongdong Weng; Jonathan Li 001 (VR Workshops, 2020)

Optic disc and optic cup segmentation based on anatomy guided cascade network. - Xuesheng Bian; Xiongbiao Luo; Cheng Wang 003; Weiquan Liu; Xiuhong Lin (Comput. Methods Programs Biomed., 2020)

Learning to Match Ground Camera Image and UAV 3-D Model-Rendered Image Based on Siamese Network With Attention Mechanism. - Weiquan Liu; Cheng Wang 003; Xuesheng Bian; Shuting Chen; Shangshu Yu; Xiuhong Lin; Shang-Hong Lai; Dongdong Weng; Jonathan Li 001 (IEEE Geosci. Remote. Sens. Lett., 2020)

Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network. - Baiqi Lai; Weiquan Liu; Cheng Wang 003; Xuesheng Bian; Yanfei Su; Xiuhong Lin; Zhimin Yuan; Siqi Shen; Ming Cheng 002 (ICIG (3), 2021)

Metric Learning for 2D Image Patch and 3D Point Cloud Volume Matching. - Baiqi Lai; Weiquan Liu; Cheng Wang 003; Shuting Chen; Xuesheng Bian; Xiuhong Lin; Chenglu Wen; Jonathan Li 001 (IGARSS, 2021)

OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug Screening. - Xuesheng Bian; Gang Li; Cheng Wang 003; Siqi Shen; Weiquan Liu; Xiuhong Lin; Zexin Chen; Mancheung Cheung; Xióngbiao Luó (ISBRA, 2021)

A deep learning model for detection and tracking in high-throughput images of organoid. - Xuesheng Bian; Gang Li; Cheng Wang 003; Weiquan Liu; Xiuhong Lin; Zexin Chen; Mancheung Cheung; Xiongbiao Luo (Comput. Biol. Medicine, 2021)

DDA-Net: Unsupervised cross-modality medical image segmentation via dual domain adaptation. - Xuesheng Bian; Xiongbiao Luo; Cheng Wang 003; Weiquan Liu; Xiuhong Lin (Comput. Methods Programs Biomed., 2022)

EAGAN: Event-based attention generative adversarial networks for optical flow and depth estimation. - Xiuhong Lin; Chenhui Yang; Xuesheng Bian; Weiquan Liu; Cheng Wang 003 (IET Comput. Vis., 2022)

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning. - Xiuhong Lin; Changjie Qiu; Zhipeng Cai; Siqi Shen; Yu Zang; Weiquan Liu; Xuesheng Bian; Matthias Müller 011; Cheng Wang 003 (NeurIPS, 2023)

DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames. - Changjie Qiu; Zhiyong Wang; Xiuhong Lin; Yu Zang; Cheng Wang; Weiquan Liu (CoRR, 2023)

DSMNet: Deep High-Precision 3-D Surface Modeling From Sparse Point Cloud Frames. - Changjie Qiu; Zhiyong Wang; Xiuhong Lin; Yu Zang; Cheng Wang 003; Weiquan Liu (IEEE Geosci. Remote. Sens. Lett., 2023)

DSTF: Dual-Stream Spatio-Temporal Fusion Network for Event-Based Data. - Xusheng Gu; Changjie Qiu; Xiuhong Lin; Xinjie Yang; Yu Zang; Cheng Wang 003 (PRCV (11), 2024)

OmniEvent: Unified Event Representation Learning. - Weiqi Yan 005; Chenlu Lin; Youbiao Wang; Zhipeng Cai; Xiuhong Lin; Yangyang Shi; Weiquan Liu; Yu Zang (CoRR, 2025)