Decision support analysis for safety control in complex project environments based on Bayesian Networks. - Limao Zhang; Xianguo Wu; Lieyun Ding; Miroslaw J. Skibniewski; Y. Yan (Expert Syst. Appl., 2013)

Bayesian-network-based safety risk analysis in construction projects. - Limao Zhang; Xianguo Wu; Miroslaw J. Skibniewski; Jingbing Zhong; Yujie Lu (Reliab. Eng. Syst. Saf., 2014)

How to protect adjacent bridges due to tunnel excavation: a case study. - Limao Zhang; Simaan M. AbouRizk; Xianguo Wu (WSC, 2015)

Updating geological conditions using bayes theorem and markov chain. - Limao Zhang; Ronald Ekyalimpa; Stephen Hague; Michael Werner; Simaan M. AbouRizk (WSC, 2015)

A Dynamic Decision Approach for Risk Analysis in Complex Projects. - Xianguo Wu; Yanhong Wang; Limao Zhang; Lieyun Ding; Miroslaw J. Skibniewski; Jingbing Zhong (J. Intell. Robotic Syst., 2015)

A dynamic Bayesian network based approach to safety decision support in tunnel construction. - Xianguo Wu; Huitao Liu; Limao Zhang; Miroslaw J. Skibniewski; Qianli Deng; Jiaying Teng (Reliab. Eng. Syst. Saf., 2015)

Simulation-Based Analysis of Tunnel Boring Machine Performance in Tunneling Excavation. - Limao Zhang; Xianguo Wu; Miroslaw J. Skibniewski (J. Comput. Civ. Eng., 2016)

Fuzzy cognitive maps enabled root cause analysis in complex projects. - Limao Zhang; A. J. Antony Chettupuzha; Hongyu Chen; Xianguo Wu; Simaan M. AbouRizk (Appl. Soft Comput., 2017)

Risk-based estimate for operational safety in complex projects under uncertainty. - Limao Zhang; Yanhua Huang; Xianguo Wu; Miroslaw J. Skibniewski (Appl. Soft Comput., 2017)

Global Sensitivity Analysis of Tunnel-Induced Building Movements by a Precise Metamodel. - Wenli Liu; Xianguo Wu; Limao Zhang; Junjie Zheng; Jiaying Teng (J. Comput. Civ. Eng., 2017)

Intelligent Approach to Estimation of Tunnel-Induced Ground Settlement Using Wavelet Packet and Support Vector Machines. - Limao Zhang; Xianguo Wu; Wenying Ji; Simaan M. AbouRizk (J. Comput. Civ. Eng., 2017)

Performing Global Uncertainty and Sensitivity Analysis from Given Data in Tunnel Construction. - Limao Zhang; Xianguo Wu; Hongping Zhu; Simaan M. AbouRizk (J. Comput. Civ. Eng., 2017)

An improved Dempster-Shafer approach to construction safety risk perception. - Limao Zhang; Lieyun Ding; Xianguo Wu; Miroslaw J. Skibniewski (Knowl. Based Syst., 2017)

BIM Log Mining: Measuring Design Productivity. - Limao Zhang; Ming Wen; Baabak Ashuri (J. Comput. Civ. Eng., 2018)

Modeling risks in dependent systems: A Copula-Bayesian approach. - Yue Pan; Shenwei Ou; Limao Zhang; Wenjing Zhang; Xianguo Wu; Heng Li 001 (Reliab. Eng. Syst. Saf., 2019)

A novel learning cloud Bayesian network for risk measurement. - Chen Chen 076; Limao Zhang; Robert Lee Kong Tiong (Appl. Soft Comput., 2020)

Performance risk assessment in public-private partnership projects based on adaptive fuzzy cognitive map. - Hongyu Chen; Limao Zhang; Xianguo Wu (Appl. Soft Comput., 2020)

Clustering of designers based on building information modeling event logs. - Yue Pan; Limao Zhang; Miroslaw J. Skibniewski (Comput. Aided Civ. Infrastructure Eng., 2020)

Cross-scale generative adversarial network for crowd density estimation from images. - Gaowei Zhang; Yue Pan; Limao Zhang; Robert Lee Kong Tiong (Eng. Appl. Artif. Intell., 2020)

Multi-classifier information fusion in risk analysis. - Yue Pan; Limao Zhang; Xianguo Wu; Miroslaw J. Skibniewski (Inf. Fusion, 2020)

Hybrid belief rule base for regional railway safety assessment with data and knowledge under uncertainty. - Leilei Chang 001; Wei Dong; Jianbo Yang; Xinya Sun; Xiaobin Xu 002; Xiaojian Xu 003; Limao Zhang (Inf. Sci., 2020)

Mining event logs for knowledge discovery based on adaptive efficient fuzzy Kohonen clustering network. - Yue Pan; Limao Zhang; Zhiwu Li 001 (Knowl. Based Syst., 2020)

Improved Fuzzy Bayesian Network-Based Risk Analysis With Interval-Valued Fuzzy Sets and D-S Evidence Theory. - Yue Pan; Limao Zhang; ZhiWu Li 001; Lieyun Ding (IEEE Trans. Fuzzy Syst., 2020)

A new lossy compression algorithm for wireless sensor networks using Bayesian predictive coding. - Chen Chen 076; Limao Zhang; Robert Lee Kong Tiong (Wirel. Networks, 2020)

Explainable data-driven optimization for complex systems with non-preferential multiple outputs using belief rule base. - Leilei Chang 001; Limao Zhang (Appl. Soft Comput., 2021)

Data-driven time series prediction based on multiplicative neuron model artificial neuron network. - Wenping Pan; Limao Zhang; Chunlin Shen (Appl. Soft Comput., 2021)

Data-driven quantification of public-private partnership experience levels under uncertainty with Bayesian hierarchical model. - Yongqi Wang; Zengqi Xiao; Robert L. K. Tiong; Limao Zhang (Appl. Soft Comput., 2021)

Cluster-based information fusion for probabilistic risk analysis in complex projects under uncertainty. - Limao Zhang; Ying Wang 081; Xianguo Wu (Appl. Soft Comput., 2021)

Estimating long-term impacts of tunnel infrastructure development on urban sustainability using granular computing. - Limao Zhang; Yan Zhang; Hong Xian Li; Zhen Lei (Appl. Soft Comput., 2021)

Feature-based evidential reasoning for probabilistic risk analysis and prediction. - Ying Wang 081; Limao Zhang (Eng. Appl. Artif. Intell., 2021)

Time-series interval prediction under uncertainty using modified double multiplicative neuron network. - Wenping Pan; Liuyang Feng; Limao Zhang; Liang Cai; Chunlin Shen (Expert Syst. Appl., 2021)

Correlation-oriented complex system structural risk assessment using Copula and belief rule base. - Lei-Lei Chang 001; Limao Zhang; Xiaojian Xu 003 (Inf. Sci., 2021)

An adaptive decision making method with copula Bayesian network for location selection. - Yue Pan; Limao Zhang; Jiale Koh; Yong Deng 001 (Inf. Sci., 2021)

Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission. - Alvin Wei Ze Chew; Yue Pan; Ying Wang 081; Limao Zhang (Knowl. Based Syst., 2021)

Multi-source information fusion for safety risk assessment in underground tunnels. - Kai Guo; Limao Zhang (Knowl. Based Syst., 2021)

Retraceable and online multi-objective active optimal control using belief rule base. - Jiang Jiang 001; Leilei Chang 001; Limao Zhang; Xiaojian Xu 003 (Knowl. Based Syst., 2021)

Resilience assessment of regional areas against earthquakes using multi-source information fusion. - Weiyi Chen; Limao Zhang (Reliab. Eng. Syst. Saf., 2021)

Assessment of tunnel face stability subjected to an adjacent tunnel. - Liuyang Feng; Limao Zhang (Reliab. Eng. Syst. Saf., 2021)

Simulation-based optimization for modeling and mitigating tunnel-induced damages. - Ying Wang 081; Limao Zhang (Reliab. Eng. Syst. Saf., 2021)

Multi-objective optimization for limiting tunnel-induced damages considering uncertainties. - Limao Zhang; Penghui Lin (Reliab. Eng. Syst. Saf., 2021)

Raw data (filtration concentration & streamflow height parameters) for training MPINN-UPC model and other ML models. - Alvin Wei Ze Chew; Limao Zhang (IEEE DataPort, 2021)

Modeling and analyzing dynamic social networks for behavioral pattern discovery in collaborative design. - Yue Pan; Limao Zhang (Adv. Eng. Informatics, 2022)

Multi-class object detection in tunnels from 3D point clouds: An auto-optimized lazy learning approach. - Kunyu Wang; Zhaoxiang Zhang 002; Xianguo Wu; Limao Zhang (Adv. Eng. Informatics, 2022)

Detecting logical relationships in mechanical, electrical, and plumbing (MEP) systems with BIM using graph matching. - Yongqi Wang; Limao Zhang; Hongbo Yu; Robert L. K. Tiong (Adv. Eng. Informatics, 2022)

Data-driven estimation of TBM performance in soft soils using density-based spatial clustering and random forest. - Xianlei Fu; Liuyang Feng; Limao Zhang (Appl. Soft Comput., 2022)

Data-driven optimization for mitigating tunnel-induced damages. - Kai Guo; Limao Zhang (Appl. Soft Comput., 2022)

Data-driven prediction of building energy consumption using an adaptive multi-model fusion approach. - Penghui Lin; Limao Zhang; Jian Zuo (Appl. Soft Comput., 2022)

Deep learning modeling of public's sentiments towards temporal evolution of COVID-19 transmission. - Ying Wang 081; Alvin Wei Ze Chew; Limao Zhang (Appl. Soft Comput., 2022)

Randomness-oriented Multi-dimensional Cloud-based belief rule Base approach for complex system modeling. - Leilei Chang 001; Limao Zhang; Xiaobin Xu 002 (Expert Syst. Appl., 2022)

Uncertainty-oriented reliability and risk-based output control for complex systems with compatibility considerations. - Leilei Chang 001; Xintao Song; Limao Zhang (Inf. Sci., 2022)

Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning. - Renfei He; Limao Zhang; Alvin Wei Ze Chew (Knowl. Based Syst., 2022)

An automated machine learning approach for earthquake casualty rate and economic loss prediction. - Weiyi Chen; Limao Zhang (Reliab. Eng. Syst. Saf., 2022)

Enhanced prediction intervals of tunnel-induced settlement using the genetic algorithm and neural network. - Liuyang Feng; Limao Zhang (Reliab. Eng. Syst. Saf., 2022)

Adaptive multi-objective optimization for emergency evacuation at metro stations. - Kai Guo; Limao Zhang (Reliab. Eng. Syst. Saf., 2022)

Simulation-based multi-objective optimization for enhanced safety of fire emergency response in metro stations. - Qiong Liu; Renfei He; Limao Zhang (Reliab. Eng. Syst. Saf., 2022)

Enhancing the MEP Coordination Process with BIM Technology and Management Strategies. - Ya Hui Teo; Jun Hong Yap; Hui An; Simon Ching Man Yu; Limao Zhang; Jie Chang; Kang Hao Cheong (Sensors, 2022)

A probabilistic approach to assessing project complexity dynamics under uncertainty. - Lan Luo; Limao Zhang; Delei Yang; Qinghua He (Soft Comput., 2022)

Multi-criteria group decision-making with cloud model and TOPSIS for alternative selection under uncertainty. - Limao Zhang; Weiyi Chen (Soft Comput., 2022)

Transparent Digital Twin for Output Control Using Belief Rule Base. - Leilei Chang 001; Limao Zhang; Chao Fu; Yu-Wang Chen (IEEE Trans. Cybern., 2022)

Adaptive learning for single-output complex systems via data augmentation and data type identification. - Leilei Chang 001; Hao Liu; Limao Zhang; Xiaobin Xu 002; Jiang Jiang 001 (Appl. Soft Comput., 2023)

Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation. - Yunxiang Zhou; Ankang Ji; Limao Zhang; Xiaolong Xue (Eng. Appl. Artif. Intell., 2023)

A hybrid deep learning approach for dynamic attitude and position prediction in tunnel construction considering spatio-temporal patterns. - Xianlei Fu; Maozhi Wu; Sasthikapreeya Ponnarasu; Limao Zhang (Expert Syst. Appl., 2023)

Probabilistic reliability assessment of twin tunnels considering fluid-solid coupling with physics-guided machine learning. - Pengfei Qu; Limao Zhang; Qizhi Zhu; Maozhi Wu (Reliab. Eng. Syst. Saf., 2023)

Safety-Oriented Credibility-Based Fuzzy Incremental Learning for Predicting Dependent Outputs. - Leilei Chang 001; Limao Zhang; Xiaobin Xu 002; Wenjun Chang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Resilience-oriented design for complex MEP systems in BIM. - Yongqi Wang; Penghui Lin; Limao Zhang; Hongbo Yu; Robert Lee Kong Tiong (Adv. Eng. Informatics, 2023)

Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach. - Kunyu Wang; Xianguo Wu; Limao Zhang; Xieqing Song (Adv. Eng. Informatics, 2023)

Simulation-based multi-objective optimization towards proactive evacuation planning at metro stations. - Kai Guo; Limao Zhang; Maozhi Wu (Eng. Appl. Artif. Intell., 2023)

Causality-based multi-model ensemble learning for safety assessment in metro tunnel construction. - Leilei Chang 001; Limao Zhang; Xiaobin Xu 002 (Reliab. Eng. Syst. Saf., 2023)

Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI. - Penghui Lin; Limao Zhang; Robert L. K. Tiong (Reliab. Eng. Syst. Saf., 2023)

Probabilistic safety risk assessment in large-diameter tunnel construction using an interactive and explainable tree-based pipeline optimization method. - Penghui Lin; Maozhi Wu; Limao Zhang (Appl. Soft Comput., 2023)

Multi-objective optimization ensembled generative design for large-diameter tunnel passing underneath existing tunnels. - Penghui Lin; Limao Zhang; Robert L. K. Tiong (Appl. Soft Comput., 2023)

Time series clustering for TBM performance investigation using spatio-temporal complex networks. - Yue Pan; Xiaojing Zhou; Shuigen Qiu; Limao Zhang (Expert Syst. Appl., 2023)

Unsupervised Pixel-Level Detection of Rail Surface Defects Using Multistep Domain Adaptation. - Zhaoxiang Zhang 002; Limao Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Flood risk assessment and mitigation for metro stations: An evidential-reasoning-based optimality approach considering uncertainty of subjective parameters. - Renfei He; Limao Zhang; Robert L. K. Tiong (Reliab. Eng. Syst. Saf., 2023)

Computational methodologies for critical infrastructure resilience modeling: A review. - Ankang Ji; Renfei He; Weiyi Chen; Limao Zhang (Adv. Eng. Informatics, 2024)

Automated position control of tunnel boring machine during excavation using deep reinforcement learning. - Penghui Lin; Ankang Ji; Yunxiang Zhou; Limao Zhang; Robert L. K. Tiong (Appl. Soft Comput., 2024)

Advanced informatic technologies for intelligent construction: A review. - Limao Zhang; Yongsheng Li; Yue Pan; Lieyun Ding (Eng. Appl. Artif. Intell., 2024)

Safety assessment of tunnel construction based on counterintuitivity detection using multi-profile multi-model ensemble learning. - Leilei Chang 001; Chenhao Yu; Limao Zhang; Xiaobin Xu 002; Schahram Dustdar (Expert Syst. Appl., 2024)

Energy-driven TBM health status estimation with a hybrid deep learning approach. - Yongsheng Li; Limao Zhang; Yue Pan; Serkan Tapkin; Xieqing Song (Expert Syst. Appl., 2024)

Dynamic reliability analysis of Aerial Building Machine under extreme wind loads using improved QBDC-based active learning. - Jiaqi Wang; Limao Zhang; Hui Yang; Huabei Liu; Miroslaw J. Skibniewski (Reliab. Eng. Syst. Saf., 2024)

Multiplex networks in resilience modeling of critical infrastructure systems: A systematic review. - Ying Wang 081; Ou Zhao; Limao Zhang (Reliab. Eng. Syst. Saf., 2024)

Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning. - Renfei He; Limao Zhang; Alvin Wei Ze Chew (Expert Syst. Appl., 2024)

Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency. - Qiong Liu; Kai Guo; Xianguo Wu; Zhonghua Xiao; Limao Zhang (Reliab. Eng. Syst. Saf., 2024)

Modeling urban rail transit system resilience under natural disasters: A two-layer network framework based on link flow. - Ying Wang 081; Ou Zhao; Limao Zhang (Reliab. Eng. Syst. Saf., 2024)

A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation. - Yue Pan; Jianjun Qin; Limao Zhang; Weiqiang Pan; Jin-Jian Chen (Comput. Aided Civ. Infrastructure Eng., 2024)

A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation. - Xianlei Fu; Yue Pan; Limao Zhang (Expert Syst. Appl., 2024)

Data-driven joint multi-objective prediction and optimization for advanced control during tunnel construction. - Xianlei Fu; Maozhi Wu; Robert Lee Kong Tiong; Limao Zhang (Expert Syst. Appl., 2024)

Physics-guided deep reinforcement learning for improved operation of TBM considering kinetic inertia stability. - Penghui Lin; Limao Zhang; Robert L. K. Tiong; Xieqing Song (Adv. Eng. Informatics, 2025)

Multi-source information fusion for dynamic safety risk prediction of aerial building machine using spatial-temporal multi-graph convolution network. - Jiaqi Wang; Yuqing Fan; Xi Pan; Jun Sun; Limao Zhang (Adv. Eng. Informatics, 2025)

Physics-data driven multi-objective optimization for parallel control of TBM attitude. - Limao Zhang; Yongsheng Li; Lulu Wang; Jiaqi Wang; Hui Luo (Adv. Eng. Informatics, 2025)

Network extension planning towards resilient urban critical infrastructures using deep reinforcement learning. - Qiong Liu; Limao Zhang; Miroslaw J. Skibniewski (Appl. Soft Comput., 2025)

Cluster-based prepositioning network for enhanced recovery resilience of critical infrastructure system using multiplex network. - Ying Wang 081; Ou Zhao; Limao Zhang (Appl. Soft Comput., 2025)

Data-driven optimization for enhanced excavation efficiency in tunnel construction: A case study. - Jinting Huang; Ankang Ji; Limao Zhang; Xianlei Fu; Xieqing Song (Eng. Appl. Artif. Intell., 2025)

EMNet: An ensemble deep learning approach for geological condition detection in tunnel excavation. - Xianlei Fu; Robert Lee Kong Tiong; Limao Zhang (Expert Syst. Appl., 2025)

Responding of metro stations to upcoming floods: To close or to protect? - Renfei He; Limao Zhang; Robert L. K. Tiong (Reliab. Eng. Syst. Saf., 2025)

Two-stage stochastic optimization for emergency management of metro systems under uncertain storm floods. - Renfei He; Limao Zhang; Robert L. K. Tiong (Reliab. Eng. Syst. Saf., 2025)

Uncertainty-based multi-objective optimization in twin tunnel design considering fluid-solid coupling. - Pengfei Qu; Limao Zhang (Reliab. Eng. Syst. Saf., 2025)

Multi-task learning for inertia effects estimation in construction engineering equipment considering time delay. - Yongsheng Li; Limao Zhang (Expert Syst. Appl., 2026)

Integrated location-inventory planning of resource warehouses for metro floods: A multi-condition bilevel optimization model. - Renfei He; Limao Zhang; Robert L. K. Tiong (Reliab. Eng. Syst. Saf., 2026)