How to Explain Neural Networks: A perspective of data space division. - Hangcheng Dong; Bingguo Liu; Fengdong Chen; Dong Ye 003; Guodong Liu (CoRR, 2021)

Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation. - Hangcheng Dong; Jingxiao Liao; Yan Wang 076; Yixin Chen; Bingguo Liu; Dong Ye 003; Guodong Liu (CoRR, 2021)

Heterogeneous Autoencoder Empowered by Quadratic Neurons. - Jing-Xiao Liao; Bojian Hou; Hang-Cheng Dong; Hao Zhang 050; Jianwei Ma; Jinwei Sun; Shiping Zhang; Feng-Lei Fan (CoRR, 2022)

SAL-CNN: Estimate the Remaining Useful Life of Bearings Using Time-frequency Information. - Bingguo Liu; Zhuo Gao; Binghui Lu; Hangcheng Dong; Zeru An (CoRR, 2022)

Training neural networks for solving 1-D optimal piecewise linear approximation. - Hangcheng Dong; Jingxiao Liao; Yang Wang; Yixin Chen; Bingguo Liu; Dong Ye 003; Guodong Liu (Neurocomputing, 2022)

Deep Learning-Based Remaining Useful Life Estimation of Bearings with Time-Frequency Information. - Bingguo Liu; Zhuo Gao; Binghui Lu; Hangcheng Dong; Zeru An (Sensors, 2022)

One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks. - Feng-Lei Fan; Hang-Cheng Dong; Zhongming Wu; Lecheng Ruan; Tieyong Zeng; Yiming Cui 002; Jing-Xiao Liao (CoRR, 2023)

Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance. - Yiming Cui 002; Lecheng Ruan; Hang-Cheng Dong; Qiang Li; Zhongming Wu; Tieyong Zeng; Feng-Lei Fan (CoRR, 2023)

CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics. - Yueyue Han; Yingyan Huang; Hangcheng Dong; Fengdong Chen; Fa Zeng; Zhitao Peng; Qihua Zhu; Guodong Liu (CoRR, 2023)

Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise. - Hang-Cheng Dong; Yuhao Jiang; Yingyan Huang; Jingxiao Liao; Bingguo Liu; Dong Ye 003; Guodong Liu (CoRR, 2023)

Attention-Embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis. - Jing-Xiao Liao; Hangcheng Dong; Zhi-Qi Sun; Jinwei Sun; Shiping Zhang; Feng-Lei Fan (IEEE Trans. Instrum. Meas., 2023)

No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks. - Feng-Lei Fan; Meng Wang; Hang-Cheng Dong; Jianwei Ma; Tieyong Zeng (CoRR, 2024)

RPPS-TDC: Reputation and Privacy-Preserving Services Based Truth Data Collection for Blockchain-Enabled Crowdsensing. - Yifeng Zhu; Anfeng Liu; Neal N. Xiong; Hangcheng Dong; Shaobo Zhang 001 (IEEE Trans. Serv. Comput., 2024)

Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. - Jing-Xiao Liao; Bojian Hou; Hang-Cheng Dong; Hao Zhang 050; Xiaoge Zhang 001; Jinwei Sun; Shiping Zhang; Feng-Lei Fan (IEEE Trans. Artif. Intell., 2024)

Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction. - Jing-Xiao Liao; Jipu Li; Hang-Cheng Dong; Jinwei Sun; Meiyan Zhang; Shiping Zhang; Xiaoge Zhang 001 (IEEE Trans. Ind. Informatics, 2024)

Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception. - Hang-Cheng Dong; Lu Zou; Bingguo Liu; Dong Ye 003; Guodong Liu (CoRR, 2025)