An Efficient Approximation Scheme for the Multiple QoS Constraints Routing. - Weijun Yang; Yan Yang; Xiaodong Wang 018; Liang Yang (CIS, 2014)

Deeply Learned Pore-Scale Facial Features. - Xiaodong Wang 018; Yuwei Liang; Xianxian Zeng; Dong Li 028; Wei Jia (CCBR, 2017)

High-Quality Facial Keypoints Matching with Motion Smoothness Constraint and 3D Model Constraint. - Xianxian Zeng; Xiaodong Wang 018; Kairui Chen; Peichu Ye; Xiaorui Hu; Dong Li 028; Yun Zhang 001 (ICPR, 2018)

Dividing the Neighbors is Not Enough: Adding Confusion Makes Local Descriptor Stronger. - Xianxian Zeng; Xiaodong Wang 018; Kairui Chen; Yun Zhang 001; Dong Li 028 (IEEE Access, 2019)

A Deep Quadruplet Network for Local Descriptor Learning. - Xiaodong Wang 018; Xianxian Zeng; Yi Lyu; Kairui Chen; Yun Zhang 001; Dong Li 028 (IEEE Access, 2020)

Fine-Grained Image Retrieval via Piecewise Cross Entropy loss. - Xianxian Zeng; Yun Zhang 001; Xiaodong Wang 018; Kairui Chen; Dong Li 028; Weijun Yang (Image Vis. Comput., 2020)

Deeply learned pore-scale facial features with a large pore-to-pore correspondences dataset. - Xianxian Zeng; Xiaodong Wang 018; Kairui Chen; Dong Li 028; Yun Zhang 001; Kin-Man Lam 001 (Pattern Recognit. Lett., 2020)

Hard Decorrelated Centralized Loss for fine-grained image retrieval. - Xianxian Zeng; Shun Liu; Xiaodong Wang 018; Yun Zhang 001; Kairui Chen; Dong Li 028 (Neurocomputing, 2021)

Learning soft threshold for sparse reparameterization using gradual projection operators. - Xiaodong Wang 018; Xianxian Zeng; Yun Zhang 001; Dong Li 028; Weijun Yang (Neurocomputing, 2022)

Improved fine-grained object retrieval with Hard Global Softmin Loss objective. - Xiaodong Wang 018; Xianxian Zeng; Yun Zhang 001; Kairui Chen; Dong Li 028 (Signal Process. Image Commun., 2022)

SSCRL: fine-grained object retrieval with switched shifted centralized ranking loss. - Xianxian Zeng; Shun Liu; Xiaodong Wang 018; Peichu Ye; Guanyu Lai (Appl. Intell., 2023)