I am a Ph.D. candidate at Harbin Institute of Technology. My interests lie in explainable AI (XAI) and its applications. My research focuses on the understanding of deep learning, with the aim of facilitating neural networks in mission-critical applications. Currently, my work has been shown to successfully improve the performance of deep learning in the areas of surface defect detection and bearing fault detection. I also work on gaining other cross-domain insights from deep learning through interpretable artificial intelligence.

Before that, I received the B.S. and M.S. degrees in instrumentation engineering from the Harbin Institute of Technology in 2017 and 2019, respectively.

Please visit here for my full CV.

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, 2022.
[paper]

Hangcheng Dong, Bingguo Liu, Fupeng Wei, Fengdong Chen, Dong Ye and Guodong Liu. "How to Explain Neural Networks: an Approximation Perspective". arXiv preprint arXiv:2105.07831v2, 2021.
[arxiv]

Hangcheng Dong, Bingguo Liu, Zhuo Gao, Jingxiao Liao, Dong Ye, Guodong Liu. "A Novel Weakly Supervised Learning Framework for High-recalled Surface Defect Detection". arXiv preprint.

Hangcheng Dong, Bingguo Liu, Yinyan Huang, Rui Zhang, Dong Ye, Guodong Liu. "ProbeCAM: High resolution weakly supervised semantic segmentation for surface defect detection". arXiv preprint.

Yang Xiao*, Hang-Cheng Dong*, Tieyong Zeng, Tinghao Ma, Feng-Lei Fan, Deng-Tao Yang. "Predicting Propellant Properties of Boron-Based Hypergolic Ionic Liquids via Machine Learning". ChemRxiv, 2022. ( * contributed equally to this work.)
[ChemRxiv]

Jing-Xiao Liao, Hang-Cheng Dong, Lei Luo, Jinwei Sun, Shiping Zhang. "Multi-task Neural Network Blind Deconvolution and its Application to Bearing Fault Feature Extraction". Preprints 2022,.
[Preprints]

Jing-Xiao Liao, Bo-Jian Hou, Hang-Cheng Dong, Hao Zhang, Jianwei Ma, Jinwei Sun, Shiping Zhang and Feng-Lei Fan. "Heterogeneous Autoencoder Empowered by Quadratic Neurons". arXiv preprint arXiv:2204.01707, 2021.
[arxiv]

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". arXiv preprint arXiv:2206.00390, 2022.
[arxiv]

Bingguo Liu, Zhuo Gao, Binghui Lu, Hangcheng Dong, Zeru An. "SAL-CNN: Estimate the Remaining Useful Life of Bearings Using Time-frequency Information". arXiv preprint arXiv:2204.05045, 2022.
[arxiv]

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". At the 2nd International High-level Forum on High-end Measurement Instruments & 12th International Symposium on Precision Engineering Measurements and Instrumentation, Guilin, China, 8-10 August, 2022.

Last Update in Sept 2022