Sparsity induced locality preserving projection approaches for dimensionality reduction. - Qi Zhang 005; Kuiying Deng; Tianguang Chu (Neurocomputing, 2016)

Structure Regularized Traffic Monitoring for Traffic Matrix Estimation and Anomaly Detection by Link-Load Measurements. - Qi Zhang 005; Tianguang Chu (IEEE Trans. Instrum. Meas., 2016)

Learning in multimodal and mixmodal data: locality preserving discriminant analysis with kernel and sparse representation techniques. - Qi Zhang 005; Tianguang Chu (Multim. Tools Appl., 2017)

Innovation Diffusion in Networks Through Asynchronous Bootstrap Percolation Process with Changeable Attitudes. - Qi Zhang 005; Rui Mao 006; Rui Li 007 (Ad Hoc Sens. Wirel. Networks, 2018)

Spatial-temporal restricted supervised learning for collaboration recommendation. - Qi Zhang 005; Rui Mao 006; Rui Li 007 (Scientometrics, 2019)

Supervised Structural Sparse Subspace Learning Based on Hierarchical Locality Preservation for Multimodal and Mixmodal Data. - Qi Zhang 005; Chaoyi Shi; Tianguang Chu (IEEE Access, 2020)

Path-wise Cascading Probabilistic Description for Information Diffusion in Networks. - Qi Zhang 005; Rui Li 007; Rui Mao 006 (Ad Hoc Sens. Wirel. Networks, 2020)

Kernel semi-supervised graph embedding model for multimodal and mixmodal data. - Qi Zhang 005; Rui Li 007; Tianguang Chu (Sci. China Inf. Sci., 2020)

On quotients of Boolean control networks. - Rui Li 007; Qi Zhang 005; Tianguang Chu (Autom., 2021)

Distributional observability of probabilistic Boolean networks. - Rui Li 007; Qi Zhang 005; Jianlei Zhang; Tianguang Chu (Syst. Control. Lett., 2021)

Input-Output-to-State Stability of Systems Related through Simulation Relations. - Rui Li 007; Qi Zhang 005; Tianguang Chu (SIAM J. Control. Optim., 2021)

Reduction and Analysis of Boolean Control Networks by Bisimulation. - Rui Li 007; Qi Zhang 005; Tianguang Chu (SIAM J. Control. Optim., 2021)

Semi-Supervised Graph Based Embedding With Non-Convex Sparse Coding Techniques. - Qi Zhang 005; Tianguang Chu; Cishen Zhang (IEEE Trans. Knowl. Data Eng., 2021)

Bisimulations of Probabilistic Boolean Networks. - Rui Li 007; Qi Zhang 005; Tianguang Chu (SIAM J. Control. Optim., 2022)

Quotients of Probabilistic Boolean Networks. - Rui Li 007; Qi Zhang 005; Tianguang Chu (IEEE Trans. Autom. Control., 2022)

A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation. - Qi Zhang 005; Yinglu Liang; Yi Zhang; Zihao Tao; Rui Li 007; Hai Bi (Int. J. Medical Informatics, 2023)

On Connections Between Invariant Subspace and Quotient Approaches for Analysis and Control of Boolean Networks. - Rui Li 007; Nan Zhao; Qi Zhang 005; Tianguang Chu (IEEE Trans. Autom. Control., 2024)

An accurate and trustworthy deep learning approach for bladder tumor segmentation with uncertainty estimation. - Jie Xu; Haixin Wang; Min Lu; Hai Bi; Deng Li 006; Zixuan Xue; Qi Zhang 005 (Comput. Methods Programs Biomed., 2025)

Data Informativity for Analysis and Control Design of Boolean Control Networks. - Rui Li 007; Ruru Shi; Qi Zhang 005; Tianguang Chu (SIAM J. Control. Optim., 2025)

Government Attention, Online Public Opinion, and Enterprise Digital Transformation: An Analysis Through the Signal of Narrative Text. - Ziqi Li; Shi Yuan; Li Zhang; Qi Zhang 005 (IEEE Trans. Engineering Management, 2025)