Dictionary learning for sparse representation using weighted ℓ1-norm. - Haoli Zhao; Shuxue Ding; Yujie Li 002; Zhenni Li; Xiang Li 005; Benying Tan (GlobalSIP, 2016)

Nonnegative sparse representation based on the determinant measure. - Yujie Li 002; Shuxue Ding; Benying Tan; Zhenni Li; Haoli Zhao (DSP, 2016)

Defect detection on thin-wall structure via dictionary learning. - Xiang Li 005; Shuxue Ding; Zhenni Li; Haoli Zhao; Benying Tan (I2MTC, 2017)

An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace. - Huakun Huang; Haoli Zhao; Xiang Li 005; Shuxue Ding; Lingjun Zhao; Zhenni Li (IEEE Access, 2018)

Deep Neural Network Structured Sparse Coding for Online Processing. - Haoli Zhao; Shuxue Ding; Xiang Li 005; Huakun Huang (IEEE Access, 2018)

Sparse Representation Based on the Analysis Model With Optimization on the Stiefel Manifold. - Yujie Li 002; Shuxue Ding; Benying Tan; Haoli Zhao; Zhenni Li (IEEE Access, 2019)

$ ell_P$ Norm Independently Interpretable Regularization Based Sparse Coding for Highly Correlated Data. - Haoli Zhao; Shuxue Ding; Xiang Li 005; Lingjun Zhao (IEEE Access, 2019)

An Accurate and Robust Approach of Device-Free Localization With Convolutional Autoencoder. - Lingjun Zhao; Huakun Huang; Xiang Li 005; Shuxue Ding; Haoli Zhao; Zhaoyang Han (IEEE Internet Things J., 2019)

A novel dictionary learning method for sparse representation with nonconvex regularizations. - Benying Tan; Yujie Li 002; Haoli Zhao; Xiang Li 005; Shuxue Ding (Neurocomputing, 2020)

Gradient-Free Neural Network Training Based on Deep Dictionary Learning with the Log Regularizer. - Ying Xie; Zhenni Li; Haoli Zhao (PRCV (4), 2021)

Dictionary Learning-Based Reinforcement Learning with Non-convex Sparsity Regularizer. - Haoli Zhao; Junkui Wang; Xingming Huang; Zhenini Li; Shengli Xie (CICAI (3), 2022)

Group non-convex sparsity regularized partially shared dictionary learning for multi-view learning. - Haoli Zhao; Peng Zhong; Haiqin Chen; Zhenni Li; Wuhui Chen; Zibin Zheng (Knowl. Based Syst., 2022)

Accelerated Log-Regularized Convolutional Transform Learning and Its Convergence Guarantee. - Zhenni Li; Haoli Zhao; Yongcheng Guo; Zuyuan Yang; Shengli Xie (IEEE Trans. Cybern., 2022)

Double Sparse Deep Reinforcement Learning via Multilayer Sparse Coding and Nonconvex Regularized Pruning. - Haoli Zhao; Jiqiang Wu; Zhenni Li; Wuhui Chen; Zibin Zheng (IEEE Trans. Cybern., 2023)

Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer. - Zhenni Li; Zuyuan Yang; Haoli Zhao; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2023)

A new device-free localization method for RSS data with considering correlations. - Ziwei Xia; Benying Tan; Haoli Zhao; Shuxue Ding; Yujie Li 002 (Comput. Commun., 2023)

Dynamic sparse coding-based value estimation network for deep reinforcement learning. - Haoli Zhao; Zhenni Li; Wensheng Su; Shengli Xie (Neural Networks, 2023)

Accelerated Partially Shared Dictionary Learning With Differentiable Scale-Invariant Sparsity for Multi-View Clustering. - Haoli Zhao; Zhenni Li; Wuhui Chen; Zibin Zheng; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2023)

Self-Attention-based Sequential Plasma Evolution Simulator for EXL-50U Tokamak. - Haoli Zhao; Chenjia Cui; Conghao Wang; Tiantian Sun; Jia Li; Dong Guo (MCSoC, 2024)

Dictionary Learning-Structured Reinforcement Learning With Adaptive-Sparsity Regularizer. - Zhenni Li; Jianhao Tang; Haoli Zhao; Ci Chen; Shengli Xie (IEEE Trans. Aerosp. Electron. Syst., 2024)

An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments. - Yahang Qin; Zhenni Li; Shengli Xie; Haoli Zhao; Qianming Wang (Sensors, 2024)

Log-Regularized Dictionary-Learning-Based Reinforcement Learning Algorithm for GNSS Positioning Correction. - Jianhao Tang; Xueni Chen; Zhenni Li; Haoli Zhao; Shengli Xie; Kan Xie; Victor Kuzin; Bo Li 034 (IEEE Internet Things J., 2024)

A Spatiotemporal Information-Driven Cross-Attention Model With Sparse Representation for GNSS NLOS Signal Classification. - Kungan Zeng; Zhenni Li; Haoli Zhao; Kan Xie; Shengli Xie; Dusit Niyato; Wuhui Chen; Zibin Zheng (IEEE Internet Things J., 2024)