Hangcheng Dong

According to our database, Hangcheng Dong authored at least 24 papers between 2021 and 2026.

Collaborative distances:

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

2026

Multi-scale class activation map for weakly supervised defect segmentation.

Fupeng Wei, Yibo Jiao, Hangcheng Dong, Jie Dong, Wen Zhao, Nan Wang, Weiming Huang, Ge Shi

Pattern Anal. Appl., June, 2026

When Can We Trust Deep Neural Networks? Towards Reliable Industrial Deployment with an Interpretability Guide.

Hang-Cheng Dong, Yuhao Jiang, Yibo Jiao, Lu Zou, Kai Zheng, Bingguo Liu, Dong Ye, Guodong Liu

CoRR, April, 2026

TokenDance: Scaling Multi-Agent LLM Serving via Collective KV Cache Sharing.

Zhuohang Bian, Feiyang Wu, Chengrui Zhang, Hangcheng Dong, Yun Liang, Youwei Zhuo

CoRR, April, 2026

Quotient Geometry, Effective Curvature, and Implicit Bias in Simple Shallow Neural Networks.

Hang-Cheng Dong, Pengcheng Cheng

CoRR, March, 2026

Interpretable Operator Learning for Inverse Problems via Adaptive Spectral Filtering: Convergence and Discretization Invariance.

Hang-Cheng Dong, Pengcheng Cheng, Shuhuan Li

CoRR, March, 2026

Tri-path DINO: Feature Complementary Learning for Remote Sensing Multi-Class Change Detection.

Kai Zheng, Hang-Cheng Dong, Shoulei Liu, Zhenkai Wu, Fupeng Wei, Lei Ding, Wei Zhang

CoRR, March, 2026

2025

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

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Changes in Gaza: DINOv3-Powered Multi-Class Change Detection for Damage Assessment in Conflict Zones.

Kai Zheng, Zhenkai Wu, Fupeng Wei, Miaolan Zhou, Kai Lie, Haitao Guo, Lei Ding, Wei Zhang, Hang-Cheng Dong

CoRR, November, 2025

Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects.

Hang-Cheng Dong, Yibo Jiao, Fupeng Wei, Guodong Liu, Dong Ye, Bingguo Liu

CoRR, October, 2025

Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception.

Hang-Cheng Dong, Lu Zou, Bingguo Liu, Dong Ye, Guodong Liu

CoRR, June, 2025

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

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