Sheng Xiang

According to our database, Sheng Xiang authored at least 38 papers between 2015 and 2024.

Collaborative distances:

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

2024

Rep-MCA-former: An efficient multi-scale convolution attention encoder for text-independent speaker verification.

Xiaohu Liu, Defu Chen, Xianbao Wang, Sheng Xiang, Xuwen Zhou

Comput. Speech Lang., April, 2024

Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction.

Sheng Xiang, Penghua Li, Yi Huang, Jun Luo, Yi Qin

Reliab. Eng. Syst. Saf., February, 2024

2023

Anti-Money Laundering by Group-Aware Deep Graph Learning.

Dawei Cheng, Yujia Ye, Sheng Xiang, Zhenwei Ma, Ying Zhang, Changjun Jiang

IEEE Trans. Knowl. Data Eng., December, 2023

Co-occurrence spatial-temporal model for adaptive background initialization in high-dynamic complex scenes.

Wenjun Zhou, Yuheng Deng, Bo Peng, Sheng Xiang, Shun'ichi Kaneko

Signal Process. Image Commun., November, 2023

Adaptively Lightweight Spatiotemporal Information-Extraction-Operator-Based DL Method for Aero-Engine RUL Prediction.

Junren Shi, Jun Gao, Sheng Xiang

Sensors, July, 2023

A Double-Chain Blockchain With Economic Attributes and Network Constraints of Prosumer Transactions.

Hongming Yang, Zefeng Yang, Sheng Xiang, Huan Zhao, Emmanuel Ackom

IEEE Trans. Ind. Informatics, March, 2023

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs.

Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang

IEEE Trans. Knowl. Data Eng., 2023

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.

Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang

CoRR, 2023

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation.

Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

General graph generators: experiments, analyses, and improvements.

Sheng Xiang, Dong Wen, Dawei Cheng, Ying Zhang, Lu Qin, Zhengping Qian, Xuemin Lin

VLDB J., 2022

Spatiotemporally Multidifferential Processing Deep Neural Network and its Application to Equipment Remaining Useful Life Prediction.

Sheng Xiang, Yi Qin, Jun Luo, Huayan Pu

IEEE Trans. Ind. Informatics, 2022

Gated Adaptive Hierarchical Attention Unit Neural Networks for the Life Prediction of Servo Motors.

Dingliang Chen, Yi Qin, Jun Luo, Sheng Xiang

IEEE Trans. Ind. Electron., 2022

Automatic multi-differential deep learning and its application to machine remaining useful life prediction.

Sheng Xiang, Yi Qin, Fuqiang Liu, Konstantinos C. Gryllias

Reliab. Eng. Syst. Saf., 2022

Financial time series forecasting with multi-modality graph neural network.

Dawei Cheng, Fangzhou Yang, Sheng Xiang, Jin Liu

Pattern Recognit., 2022

Distributionally robust optimal dispatch modelling of renewable-dominated power system and implementation path for carbon peak.

Hongming Yang, Bowen Chen, Sheng Xiang, Junpeng Liu, Emmanuel Ackom

Comput. Ind. Eng., 2022

Efficient Learning-based Community-Preserving Graph Generation.

Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract).

Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.

Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Gated Dual Attention Unit Neural Networks for Remaining Useful Life Prediction of Rolling Bearings.

Yi Qin, Dingliang Chen, Sheng Xiang, Caichao Zhu

IEEE Trans. Ind. Informatics, 2021

Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction.

Sheng Xiang, Yi Qin, Jun Luo, Huayan Pu, Baoping Tang

Reliab. Eng. Syst. Saf., 2021

A Novel Contrast Operator for Robust Object Searching.

Yuhang He, Sheng Xiang, Wenjun Zhou, Bo Peng, Ruohan Wang, Linman Li

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2020

A Novel Domestic Electric Water Heater Control Method.

Sheng Xiang, Liuchen Chang, Bo Cao, Yigang He, Chaolong Zhang

IEEE Trans. Smart Grid, 2020

Macroscopic-Microscopic Attention in LSTM Networks Based on Fusion Features for Gear Remaining Life Prediction.

Yi Qin, Sheng Xiang, Yi Chai, Haizhou Chen

IEEE Trans. Ind. Electron., 2020

Robust defect detection in 2D images printed on 3D micro-textured surfaces by multiple paired pixel consistency in orientation codes.

Sheng Xiang, Dong Liang, Shun'ichi Kaneko, Hirokazu Asano

IET Image Process., 2020

Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction.

Sheng Xiang, Yi Qin, Caichao Zhu, Yangyang Wang, Haizhou Chen

Eng. Appl. Artif. Intell., 2020

Robust Method for Detecting Defect in Images Printed on 3D Micro-textured Surfaces: Modified Multiple Paired Pixel Consistency.

Sheng Xiang, Shun'ichi Kaneko, Dong Liang

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Trajectory Optimization for a Six-DOF Cable-Suspended Parallel Robot with Dynamic Motions Beyond the Static Workspace.

Sheng Xiang, Haibo Gao, Zhen Liu, Clément Gosselin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection.

Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

<i>ReLTanh</i>: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis.

Xin Wang, Yi Qin, Yi Wang, Sheng Xiang, Haizhou Chen

Neurocomputing, 2019

A multiple heterogeneous kernel RVM approach for analog circuit fault prognostic.

Chaolong Zhang, Yigang He, Lifen Yuan, Sheng Xiang

Clust. Comput., 2019

2018

Analog Circuit Incipient Fault Diagnosis Method Using DBN Based Features Extraction.

Chaolong Zhang, Yigang He, Lifeng Yuan, Sheng Xiang

IEEE Access, 2018

Accumulated Aggregation Shifting Based on Feature Enhancement for Defect Detection on 3D Textured Low-Contrast Surfaces.

Yaping Yan, Sheng Xiang, Hirokazu Asano, Shun'ichi Kaneko

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Capacity Prognostics of Lithium-Ion Batteries using EMD Denoising and Multiple Kernel RVM.

Chaolong Zhang, Yigang He, Lifeng Yuan, Sheng Xiang

IEEE Access, 2017

An Improved Quantum-Inspired Evolutionary Algorithm for Knapsack Problems.

Sheng Xiang, Yigang He, Liuchen Chang, Kehan Wu, Chaolong Zhang

Proceedings of the Cloud Computing and Security - Third International Conference, 2017

2016

A Novel Approach for Diagnosis of Analog Circuit Fault by Using GMKL-SVM and PSO.

Chaolong Zhang, Yigang He, Lifen Yuan, Wei He, Sheng Xiang, Zhigang Li

J. Electron. Test., 2016

A novel active suspension gravity compensation system for physically simulating human walking in microgravity.

Sheng Xiang, Haibo Gao, Zheng Liu, Haitao Yu, Zongquan Deng

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

2015

Prognostics of Lithium-Ion Batteries Based on Wavelet Denoising and DE-RVM.

Chaolong Zhang, Yigang He, Lifeng Yuan, Sheng Xiang, Jin-Ping Wang

Comput. Intell. Neurosci., 2015

Magnetic dipole model in the near-field.

Yupeng Ren, Chao Hu, Sheng Xiang, Zhongqing Feng

Proceedings of the IEEE International Conference on Information and Automation, 2015