Training probability transductive classifiers for group probability datasets based on regression. - Yizhang Jiang; Zhaohong Deng; Shitong Wang 001; Tongguang Ni (FSKD, 2013)

Support vector machine with manifold regularization and partially labeling privacy protection. - Tongguang Ni; Fu-Lai Chung; Shitong Wang 001 (Inf. Sci., 2015)

Locality Preserving Semi-Supervised Support Vector Machine. - Tongguang Ni; Xiaoqing Gu; Shitong Wang 001; Pengjiang Qian; Raymond F. Muzic Jr. (J. Inf. Sci. Eng., 2015)

Cross-domain, soft-partition clustering with diversity measure and knowledge reference. - Pengjiang Qian; Shouwei Sun; Yizhang Jiang; Kuan-Hao Su; Tongguang Ni; Shitong Wang 001; Raymond F. Muzic Jr. (Pattern Recognit., 2016)

KL Divergence Based Person Re-identification Using Multivariate Gaussian Distributions. - Hongyuan Wang; Zongyuan Ding; Tongguang Ni; Fuhua Chen (ACPR, 2017)

Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification. - Tongguang Ni; Zongyuan Ding; Fuhua Chen; Hongyuan Wang (IEEE Access, 2018)

Scalable transfer support vector machine with group probabilities. - Tongguang Ni; Xiaoqing Gu; Jun Wang 024; Yuhui Zheng; Hongyuan Wang (Neurocomputing, 2018)

Discriminative deep transfer metric learning for cross-scenario person re-identification. - Tongguang Ni; Xiaoqing Gu; Hongyuan Wang; Zhongbao Zhang; Shoubing Chen; Cui Jin (J. Electronic Imaging, 2018)

Person reidentification by semisupervised dictionary rectification learning with retraining module. - Hongyuan Wang; Zongyuan Ding; Ji Zhang; Suolan Liu; Tongguang Ni; Fuhua Chen (J. Electronic Imaging, 2018)

A Fast and Robust Support Vector Machine With Anti-Noise Convex Hull and its Application in Large-Scale ncRNA Data Classification. - Xiaoqing Gu; Tongguang Ni; Yiqing Fan (IEEE Access, 2019)

Feature Selection and Rule Generation Integrated Learning for Takagi-Sugeno-Kang Fuzzy System and its Application in Medical Data Classification. - Xiaoqing Gu; Cong Zhang 006; Tongguang Ni (IEEE Access, 2019)

Scalable kernel convex hull online support vector machine for intelligent network traffic classification. - Xiaoqing Gu; Tongguang Ni; Yiqing Fan; Weibo Wang (Ann. des Télécommunications, 2020)

Multi-Task Deep Metric Learning with Boundary Discriminative Information for Cross-Age Face Verification. - Tongguang Ni; Xiaoqing Gu; Cong Zhang 006; Weibo Wang; Yiqing Fan (J. Grid Comput., 2020)

Discriminative Neural Network for Coronary Heart Disease Detection. - Xiaoqing Gu; Yizhang Jiang; Tongguang Ni (J. Medical Imaging Health Informatics, 2020)

Recognition of Large-Scale ncRNA Data Using a Novel Multitask Cross-Learning 0-Order TSK Fuzzy Classifier. - Yizhang Jiang; Jiaqi Zhu; Xiaoqing Gu; Jing Xue; Kaifa Zhao; Tongguang Ni; Pengjiang Qian (J. Medical Imaging Health Informatics, 2020)

A Hierarchical Discriminative Sparse Representation Classifier for EEG Signal Detection. - Xiaoqing Gu; Cong Zhang 006; Tongguang Ni (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Cross-Domain Classification Model With Knowledge Utilization Maximization for Recognition of Epileptic EEG Signals. - Kaijian Xia; Tongguang Ni; Hongsheng Yin 001; Bo Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Transfer Model Collaborating Metric Learning and Dictionary Learning for Cross-Domain Facial Expression Recognition. - Tongguang Ni; Cong Zhang 006; Xiaoqing Gu (IEEE Trans. Comput. Soc. Syst., 2021)

Local Constraint and Label Embedding Multi-layer Dictionary Learning for Sperm Head Classification. - Tongguang Ni; Yang Ding; Jing Xue; Kaijian Xia; Xiaoqing Gu; Yizhang Jiang (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Cross-domain EEG signal classification via geometric preserving transfer discriminative dictionary learning. - Xiaoqing Gu; Zongxuan Shen; Jia Qu; Tongguang Ni (Multim. Tools Appl., 2022)

Labeling Privacy Protection SVM Using Privileged Information for COVID-19 Diagnosis. - Tongguang Ni; Jiaqun Zhu; Jia Qu; Jing Xue (ACM Trans. Internet Techn., 2022)

Long and Short-Term Interest Contrastive Learning Under Filter-Enhanced Sequential Recommendation. - Yi Li; Changchun Yang; Tongguang Ni; Yi Zhang; Hao Liu (IEEE Access, 2023)

Deep soft clustering: simultaneous deep embedding and soft-partition clustering. - Kang Li 008; Tongguang Ni; Jing Xue; Yizhang Jiang (J. Ambient Intell. Humaniz. Comput., 2023)

Transfer discriminative dictionary learning with label consistency for classification of EEG signals of epilepsy. - Tongguang Ni; Xiaoqing Gu; Yizhang Jiang (J. Ambient Intell. Humaniz. Comput., 2023)

Hierarchical Domain Adaptation Projective Dictionary Pair Learning Model for EEG Classification in IoMT Systems. - Weiwei Cai 001; Ming Gao; Yizhang Jiang; Xiaoqing Gu; Xin Ning 001; Pengjiang Qian; Tongguang Ni (IEEE Trans. Comput. Soc. Syst., 2023)

Domain adaptation metric learning method embedded with structural information for person re-identification in internet of autonomous unmanned vehicles. - Tongguang Ni; Chunyan Zhu; Pengjiang Qian (Softw. Pract. Exp., 2024)

Semi-supervised classifier with projection graph embedding for motor imagery electroencephalogram recognition. - Tongguang Ni; Chengbing He; Xiaoqing Gu (Multim. Tools Appl., 2024)

Cross-domain transferable discriminant dictionary based sparse representation approach for EEG emotion-level recognition. - Tongguang Ni; Chengbing He; Yizhang Jiang; Xiaoqing Gu (Int. J. Mach. Learn. Cybern., 2024)

A Multi-view Semi-supervised Takagi-Sugeno-Kang Fuzzy System for EEG Emotion Classification. - Xiaoqing Gu; Yutong Wang; Mingxuan Wang; Tongguang Ni (Int. J. Fuzzy Syst., 2024)