Hangcheng Dong

According to our database, Hangcheng Dong authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

IEEE Trans. Ind. Informatics, September, 2024

Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection.

Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan

IEEE Trans. Artif. Intell., September, 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

IEEE Trans. Serv. Comput., 2024

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

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

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, Guodong Liu

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

Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance.

Yiming Cui, Lecheng Ruan, Hang-Cheng Dong, Qiang Li, Zhongming Wu, Tieyong Zeng, Feng-Lei Fan

CoRR, 2023

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, Jing-Xiao Liao

CoRR, 2023

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

Training neural networks for solving 1-D optimal piecewise linear approximation.

Hangcheng Dong, Jingxiao Liao, Yang Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu

Neurocomputing, 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

Heterogeneous Autoencoder Empowered by Quadratic Neurons.

Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Jianwei Ma, Jinwei Sun, Shiping Zhang, Feng-Lei Fan

CoRR, 2022

2021

Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation.

Hangcheng Dong, Jingxiao Liao, Yan Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu

CoRR, 2021

How to Explain Neural Networks: A perspective of data space division.

Hangcheng Dong, Bingguo Liu, Fengdong Chen, Dong Ye, Guodong Liu

CoRR, 2021