Kernel Optimal Unsupervised Discriminant Projection and Its Application to Face Recognition. - Xingzhu Liang; Yu'e Lin 001; Jingzhao Li (BIC-TA, 2013)

Kernel semi-supervised marginal fisher analysis and its application to face recognition. - Yu'e Lin 001; Xingzhu Liang; Yurong Lin (ICNC, 2013)

Uncorrelated enhanced diversity fisher discriminant analysis for face recognition. - Xingzhu Liang; Yu'e Lin 001; Guangyu Xu (ICSAI, 2016)

Maximal Margin Local Preserving Median Fisher Discriminant Analysis for Face Recognition. - Xingzhu Liang; Yu'e Lin 001 (J. Softw., 2016)

Enhanced Parameter-Free Diversity Discriminant Preserving Projections for Face Recognition. - Xingzhu Liang; Yu'e Lin 001 (Int. J. Pattern Recognit. Artif. Intell., 2018)

An image fusion dehazing algorithm based on dark channel prior and retinex. - Zhongliang Wei; Guangli Zhu; Xingzhu Liang; Wenjuan Liu (Int. J. Comput. Sci. Eng., 2020)

A Dynamic Discriminative Canonical Correlation Analysis via Adaptive Weight Scheme. - Shuzhi Su; Penglian Gao; Yanmin Zhu; Xingzhu Liang; Jun Xie (IEEE Access, 2021)

Generating adversarial examples without specifying a target model. - Gaoming Yang; Mingwei Li; Xianjing Fang; Ji Zhang 001; Xingzhu Liang (PeerJ Comput. Sci., 2021)

Smarter peer learning for online knowledge distillation. - Yu'e Lin 001; Xingzhu Liang; Gan Hu; Xianjin Fang (Multim. Syst., 2022)

Parameter-free marginal fisher analysis based on L2,1-norm regularisation for face recognition. - Yu'e Lin 001; Zhiyuan Ren; Xingzhu Liang; Shunxiang Zhang (Int. J. Comput. Sci. Eng., 2023)

YOLOD: A Task Decoupled Network Based on YOLOv5. - Xingzhu Liang; Wei Cheng; Chunjiong Zhang; Lixin Wang; Xinyun Yan; Qing Chen (IEEE Trans. Consumer Electron., 2023)

Coupled locality discriminant analysis with globality preserving for dimensionality reduction. - Shuzhi Su; Gang Zhu; Yanmin Zhu; Bin Ge; Xingzhu Liang (Appl. Intell., 2023)

SiamLight: lightweight networks for object tracking via attention mechanisms and pixel-level cross-correlation. - Yu'e Lin 001; Mengfan Li; Xingzhu Liang; Chenxing Xia (J. Real Time Image Process., 2023)

Layer-fusion for online mutual knowledge distillation. - Gan Hu; Yanli Ji; Xingzhu Liang; Yuexing Han (Multim. Syst., 2023)

Complete joint global and local collaborative marginal fisher analysis. - Xingzhu Liang; Yu'e Lin 001; Shunxiang Zhang; Xianjin Fang (Appl. Intell., 2023)

Trained teacher: Who is good at teaching. - Xingzhu Liang; Feilong Bi; Wen Liu; Xinyun Yan; Chunjiong Zhang; Chenxing Xia (Displays, 2023)

FEFR: Feature early fusion and reconstruction for online knowledge distillation. - Xingzhu Liang; Wen Liu; Feilong Bi; Xinyun Yan; Chunjiong Zhang (J. Intell. Fuzzy Syst., 2023)

ACKSNet: adaptive center keypoint selection for object detection. - Xingzhu Liang; Lixin Wang; Wei Cheng; Xinyun Yan; Qing Chen (Vis. Comput., 2023)

RCFNet: Related cross-level feature network with cascaded self-distillation for monocular depth estimation. - Chenxing Xia; Mengge Zhang; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Xingzhu Liang; Yan Zhang 106 (Digit. Signal Process., 2024)

MLGT: multi-local guided tracker for visual object tracking. - Xingzhu Liang; Miaomiao Chen; Erhu Liu (J. Real Time Image Process., 2024)

AAR:Attention Remodulation for Weakly Supervised Semantic Segmentation. - Yu'e Lin 001; Houguo Li; Xingzhu Liang; Mengfan Li; Huilin Liu (J. Supercomput., 2024)

Global-local Bi-alignment for purer unsupervised domain adaptation. - Yue Lin 001; Erhu Liu; Xingzhu Liang; Miaomiao Chen; Xinyun Yan (J. Supercomput., 2024)

DFEF: Diversify feature enhancement and fusion for online knowledge distillation. - Xingzhu Liang; Jian Zhang; Erhu Liu; Xianjin Fang (Expert Syst. J. Knowl. Eng., 2024)

Boundary enhancement and refinement network for camouflaged object detection. - Chenxing Xia; Huizhen Cao; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Yan Zhang 106; Xingzhu Liang (Mach. Vis. Appl., 2024)

EDFIDepth: enriched multi-path vision transformer feature interaction networks for monocular depth estimation. - Chenxing Xia; Mengge Zhang; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Yan Zhang 106; Xingzhu Liang (J. Supercomput., 2024)

ATMKD: adaptive temperature guided multi-teacher knowledge distillation. - Yu'e Lin 001; Shuting Yin; Yifeng Ding; Xingzhu Liang (Multim. Syst., 2024)

GACFNet: A global attention cross-level feature fusion network for aerial image object detection. - Xingzhu Liang; Mengyuan Li; Yu'e Lin; Xianjin Fang (Comput. Electr. Eng., 2025)

GRdepth: Enrich feature with global information and self-iterative regulation network for monocular depth estimation. - Chenxing Xia; Aoqi Zhang; Xiuju Gao; Bin Ge; Kuan-Ching Li; Xianjin Fang; Xingzhu Liang; Yan Zhang 106 (Digit. Signal Process., 2025)

Multi-scale feature fusion with knowledge distillation for object detection in aerial imagery. - Mengyuan Li; Xingzhu Liang; Qicheng Hu; Yu'e Lin; Chenxing Xia (Eng. Appl. Artif. Intell., 2025)

FMIF: facial multi-feature information fusion for driver fatigue detection. - Xingzhu Liang; Wei Yao; Xianjin Fang; Chunjiong Zhang (Signal Image Video Process., 2025)

Federated split learning via dynamic aggregation and homomorphic encryption on non-IID data. - Xingzhu Liang; Yachen Xu; Yu'e Lin 001; Chunjiong Zhang (J. Supercomput., 2025)

Multi-granularity enhanced feature learning for visible-infrared person re-identification. - Huilin Liu; Yuhao Wu; Zihan Tang; Xiaolong Li; Shuzhi Su; Xingzhu Liang; Pengfei Zhang (J. Supercomput., 2025)