kNN Algorithm with Data-Driven k Value. - Debo Cheng; Shichao Zhang 001; Zhenyun Deng; Yonghua Zhu; Ming Zong (ADMA, 2014)

Improved Spectral Clustering Algorithm Based on Similarity Measure. - Jun Yan; Debo Cheng; Ming Zong; Zhenyun Deng (ADMA, 2014)

Efficient kNN Algorithm Based on Graph Sparse Reconstruction. - Shichao Zhang 001; Ming Zong; Ke Sun 004; Yue Liu; Debo Cheng (ADMA, 2014)

An Effective Buffer Management Policy for Opportunistic Networks. - Yin Chen; Wenbin Yao; Ming Zong; Dongbin Wang (CollaborateCom, 2016)

Efficient kNN classification algorithm for big data. - Zhenyun Deng; Xiaoshu Zhu; Debo Cheng; Ming Zong; Shichao Zhang 001 (Neurocomputing, 2016)

Self-representation nearest neighbor search for classification. - Shichao Zhang 001; Debo Cheng; Ming Zong; Lianli Gao (Neurocomputing, 2016)

Cross-site Scripting Attacks on Android Hybrid Applications. - Wenying Bao; Wenbin Yao; Ming Zong; Dongbin Wang (ICCSP, 2017)

Feature selection by combining subspace learning with sparse representation. - Debo Cheng; Shichao Zhang 001; Xingyi Liu; Ke Sun 004; Ming Zong (Multim. Syst., 2017)

Learning k for kNN Classification. - Shichao Zhang 001; Xuelong Li 001; Ming Zong; Xiaofeng Zhu 001; Debo Cheng (ACM Trans. Intell. Syst. Technol., 2017)

Sparse sample self-representation for subspace clustering. - Zhenyun Deng; Shichao Zhang 001; Lifeng Yang; Ming Zong; Debo Cheng (Neural Comput. Appl., 2018)

A novel kNN algorithm with data-driven k parameter computation. - Shichao Zhang 001; Debo Cheng; Zhenyun Deng; Ming Zong; Xuelian Deng (Pattern Recognit. Lett., 2018)

Efficient kNN Classification With Different Numbers of Nearest Neighbors. - Shichao Zhang 001; Xuelong Li 001; Ming Zong; Xiaofeng Zhu 001; Ruili Wang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Joint self-representation and subspace learning for unsupervised feature selection. - Ruili Wang; Ming Zong (World Wide Web, 2018)

Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition. - Zhenbing Liu; Zeya Li; Ming Zong; Wanting Ji; Ruili Wang; Yan Tian (ACPR Workshops, 2019)

Fuzzy Sliding Mode Control of Magnetic Levitation System of Controllable Excitation Linear Synchronous Motor. - Yipeng Lan; Jie Li; Fengge Zhang; Ming Zong (IAS, 2019)

Design of Adaptive Neural Network Backstepping Controller for Linear Motor Magnetic Levitation System. - Yipeng Lan; Wenkang Yang; Ming Zong (IAS, 2019)

RRSD: A file replication method for ensuring data reliability and reducing storage consumption in a dynamic Cloud-P2P environment. - Sheng-Yao Su; Wenbin Yao; Baojun Qiao; Ming Zong; Xin He; Xiaoyong Li 003 (Future Gener. Comput. Syst., 2019)

A novel monocular calibration method for underwater vision measurement. - Zhe Chen 004; Ruili Wang; Wanting Ji; Ming Zong; Tanghuai Fan; Huibin Wang (Multim. Tools Appl., 2019)

An electrothermal current prediction method for overload protection of miniature circuit breakers. - Sen Lyu; Ming Zong (Turkish J. Electr. Eng. Comput. Sci., 2020)

Breaking time control of back-to-back double E-type alternating current contactor. - Lei Qi 006; Ming Zong; Shuyi Hao; Xuejie Wang (Int. J. Distributed Sens. Networks, 2020)

Discriminative deep multi-task learning for facial expression recognition. - Hao Zheng; Ruili Wang; Wanting Ji; Ming Zong; Wai Keung Wong; Zhihui Lai 001; Hexin Lv (Inf. Sci., 2020)

Toward a robust and fast real-time point cloud registration with factor analysis and Student's-t mixture model. - Zhirong Tang; Mingzhe Liu; Feixiang Zhao; Shaoda Li; Ming Zong (J. Real Time Image Process., 2020)

Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition. - Zhenbing Liu; Zeya Li; Ruili Wang; Ming Zong; Wanting Ji (Neural Comput. Appl., 2020)

Magnetic Field Prediction of Module-Combined Stator Permanent Magnet Synchronous Motor Based on a Nonlinear Hybrid Analytical Model. - Yunfei Liu; Bingyi Zhang; Ming Zong; Guihong Feng; Baoping Gan (IEEE Access, 2021)

Eliminating the contact bounce of AC contactor based on speed feedback. - Lei Qi 006; Ming Zong; Xuejie Wang (Int. J. Circuit Theory Appl., 2021)

Multi-cue based four-stream 3D ResNets for video-based action recognition. - Lei Wang; Xiaoguang Yuan; Ming Zong; Yujun Ma; Wanting Ji; Mingzhe Liu 001; Ruili Wang (Inf. Sci., 2021)

Motion saliency based multi-stream multiplier ResNets for action recognition. - Ming Zong; Ruili Wang; Xiubo Chen; Zhe Chen; Yuanhao Gong (Image Vis. Comput., 2021)

Design and implementation on matching between music and color. - Hong Zhang; Chunwei Tian; Lei You; Zhengming Li; Ming Zong; Kan Huang (Multim. Tools Appl., 2021)

Multi-cue based 3D residual network for action recognition. - Ming Zong; Ruili Wang; Zhe Chen 004; Maoli Wang; Xun Wang 007; Johan Potgieter (Neural Comput. Appl., 2021)

Robust multi-view continuous subspace clustering. - Junbo Ma; Ruili Wang; Wanting Ji; Jiawei Zhao; Ming Zong; Andrew Gilman (Pattern Recognit. Lett., 2021)

MobileACNet: ACNet-Based Lightweight Model for Image Classification. - Tao Jiang; Ming Zong; Yujun Ma; Feng Hou; Ruili Wang (IVCNZ, 2022)

Spatial and temporal saliency based four-stream network with multi-task learning for action recognition. - Ming Zong; Ruili Wang; Yujun Ma; Wanting Ji (Appl. Soft Comput., 2023)

Multi-head attention-based two-stream EfficientNet for action recognition. - Aihua Zhou; Yujun Ma; Wanting Ji; Ming Zong; Pei Yang; Min Wu; Mingzhe Liu 001 (Multim. Syst., 2023)

Improved YOLOv3 Integrating SENet and Optimized GIoU Loss for Occluded Pedestrian Detection. - Qiangbo Zhang; Yunxiang Liu; Yu Zhang; Ming Zong; Jianlin Zhu (Sensors, 2023)

Convolutional transformer network for fine-grained action recognition. - Yujun Ma; Ruili Wang; Ming Zong; Wanting Ji; Yi Wang; Baoliu Ye (Neurocomputing, 2024)

Laplacian eigenmaps based manifold regularized CNN for visual recognition. - Ming Zong; Zhizhong Ma; Fangyi Zhu; Yujun Ma; Ruili Wang (Inf. Sci., 2025)