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

Pore-Scale Facial Features Matching Under 3D Morphable Model Constraint. - Xianxian Zeng; Dong Li 028; Yun Zhang 001; Kin-Man Lam 001 (CCCV (2), 2017)

Pose-invariant 3D face recognition using half face. - Yan Liang; Yun Zhang 001; Xianxian Zeng (Signal Process. Image Commun., 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)

Power Line Corridor LiDAR Point Cloud Segmentation Using Convolutional Neural Network. - Jisheng Yang; Zijun Huang; Maochun Huang; Xianxian Zeng; Dong Li 028; Yun Zhang 001 (PRCV (1), 2019)

Optimal Multi-Objective Burn-In Policy Based on Time-Transformed Wiener Degradation Process. - Yi Lyu; Yun Zhang 001; Kairui Chen; Ci Chen; Xianxian Zeng (IEEE Access, 2019)

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)

Cluster output regulation of heterogeneous multi-agent systems. - Kairui Chen; Junwei Wang 002; Xianxian Zeng; Yun Zhang 001; Frank L. Lewis (Int. J. Control, 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)

An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features. - Jia Wen Li 001; Rongjun Chen; Shovan Barma; Fei Chen 011; Sio-Hang Pun; Peng Un Mak; Lei Jun Wang; Xianxian Zeng; Jinchang Ren; Huimin Zhao 001 (Cogn. Comput., 2022)

Mean Square Consensus of General Linear Multiagent Systems with Communication Noises under Switching Topologies. - Kairui Chen; Chuance Yan; Qijun Ren; Xianxian Zeng; Junwei Wang 002 (Complex., 2022)

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)

An efficient and user-friendly software tool for ordered multi-class receiver operating characteristic analysis based on python. - Shun Liu; Junjie Yang; Xianxian Zeng; Haiying Song; Jian Cen; Weichao Xu (SoftwareX, 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)

Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing. - Xianxian Zeng; Yanjun Zheng (CoRR, 2023)

Learning sparse reparameterization with layer-wise continuous sparsification. - Xiaodong Wang; Yaxiang Huang; Xianxian Zeng; Jianlan Guo; Yuqiang Chen (Knowl. Based Syst., 2023)

BP-CM Model: A teaching model for improving the teaching quality of IoT hardware technology based on BOPPPS and memory system. - Rongjun Chen; Xiaomei Luo; Qiong Nie; Leijun Wang; Jiawen Li 001; Xianxian Zeng (Educ. Inf. Technol., 2023)

Transformer-Based Detection for Highly Mobile Coded OFDM Systems. - Leijun Wang; Wenbo Zhou; Zian Tong; Xianxian Zeng; Jin Zhan; Jiawen Li 001; Rongjun Chen (Entropy, 2023)

Contour extraction of medical images using an attention-based network. - Jujian Lv; Hao Yuan Chen; Jia Wen Li 001; Kai Han Lin; Rongjun Chen; Lei Jun Wang; Xianxian Zeng; Jinchang Ren; Huimin Zhao 001 (Biomed. Signal Process. Control., 2023)

Short-term Load forecasting method based on multi-source data fusion. - Guiqin Hao; Jun Yuan; Xianxian Zeng; Jiawen Li 001; Jiaqi Fan; Yanmei Chen (IoTAAI, 2024)

A Novel Hybrid-Magnetic-Circuit Memory Machine With Variable-Leakage-Flux Capability. - Xifang Zhao; Heyun Lin; Yuxiang Zhong; Hui Yang 013; Xianxian Zeng; Xiping Liu (IEEE Trans. Ind. Electron., 2024)

A rhythmic encoding approach based on EEG time-frequency image for epileptic seizure detection. - Jia Wen Li 001; Guan Yuan Feng; Jujian Lv; Rong Jun Chen; Lei Jun Wang; Xianxian Zeng; Jun Yuan; Xiang Lei Hu; Huimin Zhao 001; Xu Lu 002 (Biomed. Signal Process. Control., 2025)

Hierarchical cascaded networks with multi-task balanced loss for fine-grained hashing. - Shun Liu; Yanjun Zheng; Xianxian Zeng; Jun Yuan; Jia Wen Li 001; Rongjun Chen (Eng. Appl. Artif. Intell., 2025)

Large-scale fine-grained image retrieval via Proxy Mask Pooling and multilateral semantic relations. - Xianxian Zeng; Jie Zhou; Dunhao Liu; Jun Yuan; Ming Yin 002; Weichao Xu; Shun Liu (Knowl. Based Syst., 2025)

Stacked and decorrelated hashing with AdapTanh for large-scale fine-grained image retrieval. - Xianxian Zeng; Jie Zhou; Canqing Ye; Jun Yuan; Jiawen Li 001; Jianjian Jiang; Rongjun Chen; Shun Liu (Signal Process. Image Commun., 2025)