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Hangcheng Dong
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2020 – today
- 2024
- [j5]Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan:
Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. IEEE Trans. Artif. Intell. 5(9): 4723-4737 (2024) - [j4]Jing-Xiao Liao, Jipu Li, Hang-Cheng Dong, Jinwei Sun, Meiyan Zhang, Shiping Zhang, Xiaoge Zhang:
Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 20(9): 11024-11034 (2024) - [i10]Feng-Lei Fan, Meng Wang, Hang-Cheng Dong, Jianwei Ma, Tieyong Zeng:
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks. CoRR abs/2405.02369 (2024) - 2023
- [j3]Jing-Xiao Liao, Hangcheng Dong, Zhi-Qi Sun, Jinwei Sun, Shiping Zhang, Feng-Lei Fan:
Attention-Embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [i9]Feng-Lei Fan, Hang-Cheng Dong, Zhongming Wu, Lecheng Ruan, Tieyong Zeng, Yiming Cui, Jing-Xiao Liao:
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks. CoRR abs/2303.06316 (2023) - [i8]Yiming Cui, Lecheng Ruan, Hang-Cheng Dong, Qiang Li, Zhongming Wu, Tieyong Zeng, Feng-Lei Fan:
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance. CoRR abs/2305.07814 (2023) - [i7]Yueyue Han, Yingyan Huang, Hangcheng Dong, Fengdong Chen, Fa Zeng, Zhitao Peng, Qihua Zhu, Guodong Liu:
CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics. CoRR abs/2307.09161 (2023) - [i6]Hang-Cheng Dong, Yuhao Jiang, Yingyan Huang, Jingxiao Liao, Bingguo Liu, Dong Ye, Guodong Liu:
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise. CoRR abs/2308.02118 (2023) - 2022
- [j2]Hangcheng Dong, Jingxiao Liao, Yang Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu:
Training neural networks for solving 1-D optimal piecewise linear approximation. Neurocomputing 508: 275-283 (2022) - [j1]Bingguo Liu, Zhuo Gao, Binghui Lu, Hangcheng Dong, Zeru An:
Deep Learning-Based Remaining Useful Life Estimation of Bearings with Time-Frequency Information. Sensors 22(19): 7402 (2022) - [i5]Jing-Xiao Liao, Bojian Hou, Hang-Cheng Dong, Hao Zhang, Jianwei Ma, Jinwei Sun, Shiping Zhang, Feng-Lei Fan:
Heterogeneous Autoencoder Empowered by Quadratic Neurons. CoRR abs/2204.01707 (2022) - [i4]Bingguo Liu, Zhuo Gao, Binghui Lu, Hangcheng Dong, Zeru An:
SAL-CNN: Estimate the Remaining Useful Life of Bearings Using Time-frequency Information. CoRR abs/2204.05045 (2022) - [i3]Jing-Xiao Liao, Hang-Cheng Dong, Zhi-Qi Sun, Jinwei Sun, Shiping Zhang, Feng-Lei Fan:
Attention-embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis. CoRR abs/2206.00390 (2022) - 2021
- [i2]Hangcheng Dong, Bingguo Liu, Fengdong Chen, Dong Ye, Guodong Liu:
How to Explain Neural Networks: A perspective of data space division. CoRR abs/2105.07831 (2021) - [i1]Hangcheng Dong, Jingxiao Liao, Yan Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu:
Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation. CoRR abs/2110.08259 (2021)
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