Spectral Recognition of M Giant Based on Deep Convolutional Neural Network. - Zheyun Qin; Zhenping Yi; Yuxiang Lu; Jingchang Pan; Yude Bu (ICBDR, 2018)

Learning Hierarchical Embedding for Video Instance Segmentation. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Xiantong Zhen; Yilong Yin (ACM Multimedia, 2021)

Dpnet: end-to-end Aerial Image Segmentation Via Deformable Point Network. - Yiyou Guo; Zheyun Qin; Yikun Liu; Yongtai Yang; Xiankai Lu; Huan Xie; Xiaohua Tong (IGARSS, 2022)

Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation. - Qing Xu; Xiaoming Xi; Xianjing Meng; Zheyun Qin; Xiushan Nie; Yongjian Wu 001; Dongsheng Zhou; Yi Qu; Chenglong Li 004; Yilong Yin (Sci. China Inf. Sci., 2022)

Learning disentangled representation for self-supervised video object segmentation. - Wenjie Hou; Zheyun Qin; Xiaoming Xi; Xiankai Lu; Yilong Yin (Neurocomputing, 2022)

Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Yilong Yin; Jianbing Shen (AAAI, 2023)

Video Instance Segmentation Using Graph Matching Transformer. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Yilong Yin (ICDM (Workshops), 2023)

Unified 3D Segmenter As Prototypical Classifiers. - Zheyun Qin; Cheng Han 001; Qifan Wang 001; Xiushan Nie; Yilong Yin; Xiankai Lu (NeurIPS, 2023)

Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. - Zheyun Qin; Xiankai Lu; Dongfang Liu; Xiushan Nie; Yilong Yin; Jianbing Shen; Alexander C. Loui (IEEE Trans. Image Process., 2023)

Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Dongfang Liu; Yilong Yin; Wenguan Wang (IEEE CAA J. Autom. Sinica, 2023)

Distribution-Aware Contrastive Learning for Robust Medical Image Segmentation. - Zheyun Qin; Xiaoming Xi; Yilong Yin (ICASSP, 2024)