Chengyuan Zhu

Chengyuan Zhu

I am a Research Fellow at Singapore University of Technology and Design (SUTD). If you're interested in working together, feel free to reach out!

Email: chengyuan_zhu at sutd dot edu dot sg

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Enhanced pipeline radial threat monitoring system with distributed acoustic sensing and multi-view information fusion

Published in Measurement, 2026

This paper presents a segmentation process for detecting localized corrosion on rust-removed metallic surface based on a deep learning algorithm.

Recommended citation: Zhu C, Pu Y, Yang Y, et al. Enhanced pipeline radial threat monitoring system with distributed acoustic sensing and multi-view information fusion[J]. Measurement, 2026, 280: 121837.
Download Paper

Monitoring landslide disturbances using distributed acoustic sensing under extreme weather conditions

Published in npj Natural Hazards, 2026

This study documents sudden shifts in landslide disturbance signals during a super typhoon’s passage using DAS with 1 Hz downsampled modulated signals.

Recommended citation: Zhu C, Yang Y, Yang K, et al. Monitoring landslide disturbances using distributed acoustic sensing under extreme weather conditions[J]. npj Natural Hazards, 2026, 3(1): 23.
Download Paper

Anomaly detection for non-stationary rotating machinery based on signal transform and memory-guided multi-scale feature reconstruction

Published in Engineering Applications of Artificial Intelligence, 2025

This paper proposes a novel anomaly detection method based on the signal transform and memory-guided multi-scale feature reconstruction.

Recommended citation: Lu R, Zheng D, Yang Q, et al. Anomaly detection for non-stationary rotating machinery based on signal transform and memory-guided multi-scale feature reconstruction[J]. Engineering Applications of Artificial Intelligence, 2025, 154: 110824.
Download Paper

Mamba-Unet-Depth: Enhancing Long-Range Dependency for Photon-Efficient Imaging

Published in IEEE Transactions on Circuits and Systems II: Express Briefs, 2025

This paper proposes Mamba-Unet-Depth, a novel network inspired by the Mamba architecture, which models long sequences and global context efficiently.

Recommended citation: Pu Y, Zhu C, Yao G, et al. Mamba-Unet-Depth: Enhancing Long-Range Dependency for Photon-Efficient Imaging[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2025.
Download Paper

Computational imaging based on single-photon detection: a survey

Published in Artificial Intelligence Review, 2025

This paper provides a comprehensive overview of the key challenges associated with computational imaging using temporal single-photon counting.

Recommended citation: Pu Y, Zhu C, Yao G, et al. Computational imaging based on single-photon detection: a survey[J]. Artificial Intelligence Review, 2025, 58(8): 251.
Download Paper

Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety

Published in Knowledge-Based Systems, 2024

This paper proposes a pipeline radial threat condition recognition model based on multidimensional information fusion and a broad learning system (MIFBLS).

Recommended citation: Zhu C, Pu Y, Lyu Z, et al. Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety[J]. Knowledge-Based Systems, 2024, 300: 112259.
Download Paper

A lightweight pipeline edge detection model based on heterogeneous knowledge distillation

Published in IEEE Transactions on Circuits and Systems II: Express Briefs, 2024

This paper introduces an adaptive heterogeneous model knowledge distillation network (AHKDnet) for edge deployment of pipeline network detection models.

Recommended citation: Zhu C, Pu Y, Lyu Z, et al. A lightweight pipeline edge detection model based on heterogeneous knowledge distillation[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2024, 71(12): 5059-5063.
Download Paper

A novel multiscale transformer network framework for natural gas consumption forecasting

Published in IEEE Transactions on Industrial Informatics, 2024

This paper provides a new spatial-temporal multiscale transformer network framework that exploits dynamic spatial dependence among users and temporal support of historical multivariate data to improve the accuracy of short-term natural gas consumption forecasting.

Recommended citation: Pu Y, Zhu C, Yang K, et al. A novel multiscale transformer network framework for natural gas consumption forecasting[J]. IEEE Transactions on Industrial Informatics, 2024, 20(8): 10040-10053.
Download Paper

Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing

Published in Advanced Engineering Informatics, 2024

This paper provides a comprehensive overview of the key challenges associated with computational imaging using temporal single-photon counting.

Recommended citation: Zhu C, Pu Y, Yang Y, et al. Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing[J]. Advanced Engineering Informatics, 2024, 60: 102424.
Download Paper

Integration frameworks and intelligent research in dynamic fault tree: A comprehensive review and future perspectives

Published in Quality and Reliability Engineering International, 2023

This paper comprehensively reviews and proposes future perspective the research status of intellectualization in DFT.

Recommended citation: Zhu C, Jiang Y, Liu G, et al. Integration frameworks and intelligent research in dynamic fault tree: A comprehensive review and future perspectives[J]. Quality and Reliability Engineering International, 2023, 39(7): 3157-3178.
Download Paper

A Novel AMSS-FFN for Underwater Multisource Localization Using Artificial Lateral Line

Published in IEEE Transactions on Instrumentation and Measurement, 2023

This paper develops an artificial lateral system with integrated pressure sensors for acquiring pressure transform signals from underwater multisource vibrations.

Recommended citation: Pu Y, Zhu C, Yang K, et al. A Novel AMSS-FFN for Underwater Multisource Localization Using Artificial Lateral Line[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-14.
Download Paper

Distributed optical fiber intrusion detection by image encoding and SwinT in multi-interference environment of long-distance pipeline

Published in IEEE Transactions on Instrumentation and Measurement, 2023

This paper transforms intrusion detection into a multiclass classification problem to identify intrusion events.

Recommended citation: Zhu C, Pu Y, Yang K, et al. Distributed optical fiber intrusion detection by image encoding and SwinT in multi-interference environment of long-distance pipeline[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-12.
Download Paper

A review on the realization methods of dynamic fault tree

Published in Quality and Reliability Engineering International, 2022

This paper reviews the research status of different realization methods/analysis techniques of DFT.

Recommended citation: Zhu C, Zhang T. A review on the realization methods of dynamic fault tree[J]. Quality and Reliability Engineering International, 2022, 38(6): 3233-3251.
Download Paper

Analysis of internal corrosion of supercritical CO2 pipeline

Published in Corrosion reviews, 2021

This paper the industry corrosion accidents of CCS transportation system, in which the pipeline corrosion risk is analyzed, and the pipeline corrosion theory is summarized. Also, the effect of impurities on gas phase properties is discussed.

Recommended citation: Tang S, Zhu C, Cui G, et al. Analysis of internal corrosion of supercritical CO2 pipeline[J]. Corrosion reviews, 2021, 39(3): 219-241.
Download Paper

Fabrication of superhydrophobic coatings for corrosion protection by electrodeposition: A comprehensive review

Published in Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2020

This paper reviews the general theory of superhydrophobic surface, including factors affecting wettability and theoretical wetting models.

Recommended citation: Liu J, Fang X, Zhu C, et al. Fabrication of superhydrophobic coatings for corrosion protection by electrodeposition: A comprehensive review[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2020, 607: 125498.
Download Paper

Segmenting localized corrosion from rust-removed metallic surface with deep learning algorithm

Published in Journal of Electronic Imaging, 2019

This paper presents a segmentation process for detecting localized corrosion on rust-removed metallic surface based on a deep learning algorithm.

Recommended citation: Zhang S, Li Z, Yang C, et al. Segmenting localized corrosion from rust-removed metallic surface with deep learning algorithm[J]. Journal of Electronic Imaging, 2019, 28(4): 043019-043019.
Download Paper

Conference Papers

MambaGas: A Mamba-Based Model for Daily Natural Gas Consumption Forecasting

Published in the 2nd International Symposium on AI and Cybersecurity (ISAICS), 2025

This paper proposes MambaGas, a novel forecasting model built upon the Mamba architecture, a recent state space modeling framework known for its efficiency in handling longrange dependencies.

Recommended citation: Sun L, Ji Y, Zhu C. MambaGas: A Mamba-Based Model for Daily Natural Gas Consumption Forecasting[C]//2025 2nd International Symposium on AI and Cybersecurity (ISAICS). IEEE, 2025: 1-5.
Download Paper

Streaming Data Anomaly Detection in Energy Big Data Center Using Unsupervised Learning

Published in the 37th Chinese Control and Decision Conference (CCDC), 2025

This paper proposes an unsupervised learning framework, Unsupervised Learning-based Streaming Anomaly Detection (UL-SAD), for time-series anomaly detection in streaming data from the energy big data center.

Recommended citation: Wu A, Zhu C, Jiang X, et al. Streaming Data Anomaly Detection in Energy Big Data Center Using Unsupervised Learning[C]//2025 37th Chinese Control and Decision Conference (CCDC). IEEE, 2025: 1776-1781.
Download Paper

Intrusion Identification for Long-Distance Pipeline Based on Cloud-Edge Collaboration

Published in the 14th International Conference on Information Science and Technology (ICIST), 2024

This paper proposes a hierarchical cloud-edge col-laboration scheme for intrusion identification along long-distance pipelines.

Recommended citation: Lyu Z, Zhu C, Pu Y, et al. Intrusion Identification for Long-Distance Pipeline Based on Cloud-Edge Collaboration[C]//2024 14th International Conference on Information Science and Technology (ICIST). IEEE, 2024: 969-974.
Download Paper

AI-based energy transportation safety: Pipeline radial threat estimation using intelligent sensing system

Published in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024

This paper proposes a radial threat estimation method for energy pipelines based on distributed optical fiber sensing technology.

Recommended citation: Zhu C, Yang Y, Yang K, et al. AI-based energy transportation safety: Pipeline radial threat estimation using intelligent sensing system[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(20): 22556-22564.
Download Paper

Long-distance pipeline intrusion warning based on environment embedding from distributed optical fiber sensing

Published in International Conference on Artificial Neural Networks, 2023

This paper proposes an intrusion warning ensemble model based on environmental embedding.

Recommended citation: Zhu C, Pu Y, Lyu Z, et al. Long-distance pipeline intrusion warning based on environment embedding from distributed optical fiber sensing[C]//International Conference on Artificial Neural Networks. Cham: Springer Nature Switzerland, 2023: 260-271.
Download Paper

An ensemble broad learning scheme for short-term load forecasting

Published in 2022 China Automation Congress (CAC), 2022

This paper suggests an ensemble kernel broad learning system based on residuals to resolve the aforementioned issues.

Recommended citation: Yang K, Wang H, Yang Q, et al. An ensemble broad learning scheme for short-term load forecasting[C]//2022 China Automation Congress (CAC). IEEE, 2022: 4901-4905.
Download Paper

Daily natural gas load forecasting based on sequence autocorrelation

Published in the 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2022

This paper conducts research on natural gas load forecasting, and design a time series forecasting model based on serial autocorrelation.

Recommended citation: Xiang X, Shen J, Yang K, et al. Daily natural gas load forecasting based on sequence autocorrelation[C]//2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2022: 1452-1459.
Download Paper

Visibility and meteorological parameter model based on rashomon regression analysis

Published in the 12th International Conference on Information Science and Technology (ICIST), 2022

This paper proposes a method named Rashomon principal component optimization regression.

Recommended citation: Zhu C, Yang K, Yang Q, et al. Visibility and meteorological parameter model based on rashomon regression analysis[C]//2022 12th International Conference on Information Science and Technology (ICIST). IEEE, 2022: 367-373.
Download Paper