Sparse Similarity Learning with a Local Appearance Model for Person Tracking. - Xiang Li; Min Xu 003; Zeqiang Wei; Liming Shao (CCBR, 2017)

Consistency-Exclusivity Regularized Deep Metric Learning for General Kinship Verification. - Xiuzhuang Zhou; Zheng Zhang 038; Zeqiang Wei; Kai Jin; Min Xu 003 (ICME, 2018)

Learning Deep Spatiotemporal Feature for Engagement Recognition of Online Courses. - Lin Geng; Min Xu 003; Zeqiang Wei; Xiuzhuang Zhou (SSCI, 2019)

Adversarial Similarity Metric Learning for Kinship Verification. - Zeqiang Wei; Min Xu 003; Lin Geng; Haoming Liu; Hua Yin (IEEE Access, 2019)

Energy-Based Supervised Hashing for Multimorbidity Image Retrieval. - Peng Huang; Xiuzhuang Zhou; Zeqiang Wei; Guodong Guo (MICCAI (5), 2021)

SwiniPASSR: Swin Transformer based Parallax Attention Network for Stereo Image Super-Resolution. - Kai Jin; Zeqiang Wei; Angulia Yang; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou; Guodong Guo (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Liangyu Chen 002; Xiaojie Chu; Wenqing Yu; Kai Jin; Zeqiang Wei; Sha Guo; et al. (CVPR Workshops, 2022)

Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning. - Xiuzhuang Zhou; Zeqiang Wei; Min Xu 003; Shan Qu; Guodong Guo (IEEE Trans. Affect. Comput., 2022)

DistgEPIT: Enhanced Disparity Learning for Light Field Image Super-Resolution. - Kai Jin; Angulia Yang; Zeqiang Wei; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou; et al. (CVPR Workshops, 2023)

Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval. - Zeqiang Wei; Kai Jin; Xiuzhuang Zhou (CoRR, 2023)

NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Qianyu Chen; Longguang Wang; Jungang Yang 001; Radu Timofte; Yulan Guo; Wentao Chao; Yiming Kan; Xuechun Wang; Fuqing Duan; Guanghui Wang 001; et al. (CVPR Workshops, 2024)

Multi-label contrastive hashing. - Zeqiang Wei; Kai Jin; Zheng Zhang 038; Xiuzhuang Zhou (Pattern Recognit., 2024)

LFTransMamba: A Hybrid Mamba-Transformer Model for Light Field Image Super-Resolution. - Kai Jin; Zeqiang Wei; Angulia Yang; Di Wu; Mingzhi Gao; Xiuzhuang Zhou (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Fengyuan Zhang; Lvli Tian; Longguang Wang; Juncheng Li 013; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; et al. (CVPR Workshops, 2025)

$L^{2}$FMamba: Lightweight Light Field Image Super-Resolution With State Space Model. - Zeqiang Wei; Kai Jin; Zeyi Hou; Kuan Song; Xiuzhuang Zhou (IEEE Trans. Computational Imaging, 2025)

L2FMamba: Lightweight Light Field Image Super-Resolution with State Space Model. - Zeqiang Wei; Kai Jin; Zeyi Hou; Kuan Song; Xiuzhuang Zhou (CoRR, 2025)

Semantically Informed Salient Regions Guided Radiology Report Generation. - Zeyi Hou; Zeqiang Wei; Ruixin Yan; Ning Lang; Xiuzhuang Zhou (CoRR, 2025)