Rule extraction by genetic algorithms based on a simplified RBF neural network. - Xiuju Fu; Lipo Wang (CEC, 2001)

Linguistic Rule Extraction From a Simplified RBF Neural Network. - Xiuju Fu; Lipo Wang (Comput. Stat., 2001)

A GA-based RBF classifier with class-dependent features. - Xiuju Fu; Lipo Wang (IEEE Congress on Evolutionary Computation, 2002)

Rule extraction from an RBF classifier based on class-dependent features. - Xiuju Fu; Lipo Wang (IEEE Congress on Evolutionary Computation, 2002)

Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance. - Xiuju Fu; Lipo Wang (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Extracting the knowledge embedded in support vector machines. - Xiuju Fu; Chong Jin Ong; Sathiya Keerthi; Gih Guang Hung; Li Ping Goh (IJCNN, 2004)

A noisy chaotic neural network for solving combinatorial optimization problems: stochastic chaotic simulated annealing. - Lipo Wang; Sa Li; Fuyu Tian; Xiuju Fu (IEEE Trans. Syst. Man Cybern. Part B, 2004)

A Simple Rule Extraction Method Using a Compact RBF Neural Network. - Lipo Wang; Xiuju Fu (ISNN (1), 2005)

Data dimensionality reduction with application to improving classification performance and explaining concepts of data sets. - Xiuju Fu; Lipo Wang (Int. J. Bus. Intell. Data Min., 2005)

Data Mining with Computational Intelligence. - Lipo Wang; Xiuju Fu (Springer, 2005)

Developing parallel sequential minimal optimization for fast training support vector machine. - Lijuan Cao; S. Sathiya Keerthi; Chong Jin Ong; P. Uvaraj; Xiuju Fu; H. P. Lee (Neurocomputing, 2006)

Parallel sequential minimal optimization for the training of support vector machines. - Lijuan Cao; S. Sathiya Keerthi; Chong Jin Ong; J. Q. Zhang; U. Periyathamby; Xiuju Fu; H. P. Lee (IEEE Trans. Neural Networks, 2006)

A Multi-Agent Method for Streaming Quality Monitoring and Analysis over Media Grid. - Xiaorong Li; Wei Jie; Xiuju Fu; Hoong-Maeng Chan; Quoc-Thuan Ho; Terence Hung; David Ong; Stephen John Turner; Bharadwaj Veeravalli (CCNC, 2007)

Time-series infectious disease data analysis using SVM and genetic algorithm. - Xiuju Fu; Christina Liew; Harold Soh; Gary Kee Khoon Lee; Terence Hung; Lee-Ching Ng (IEEE Congress on Evolutionary Computation, 2007)

Robustness of complex communication networks under link attacks. - Yubo Wang; Shi Xiao; Gaoxi Xiao; Xiuju Fu; Tee Hiang Cheng (ICAIT, 2008)

Mining Weather Information in Dengue Outbreak: Predicting Future Cases Based on Wavelet, SVM and GA. - Yan Wu 002; Gary Kee Khoon Lee; Xiuju Fu; Harold Soh; Terence Hung (World Congress on Engineering (Selected Papers), 2008)

Artificial Neural Networks. - Lipo Wang; Xiuju Fu (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Data Mining in QoS-Aware Media Grids. - Xiuju Fu; Xiaorong Li; Lipo Wang; David Ong; Stephen John Turner (Computational Intelligence: A Compendium, 2008)

A GA-SVM Feature Selection Model Based on High Performance Computing Techniques. - Tianyou Zhang; Xiuju Fu; Rick Siow Mong Goh; Chee Keong Kwoh 001; Gary Kee Khoon Lee (SMC, 2009)

Key node selection for containing infectious disease spread using particle swarm optimization. - Xiuju Fu; Sonja Lim; Lipo Wang; Gary Lee 001; Stefan Ma; Limsoon Wong; Gaoxi Xiao (SIS, 2009)

Multi-objective optimization of large scale berth allocation and quay crane assignment problems. - Chun Yew Cheong; Mohamed Salahuddin Habibullah; Rick Siow Mong Goh; Xiuju Fu (SMC, 2010)

A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic. - Tianyou Zhang; Michael Lees; Chee Keong Kwoh 001; Xiuju Fu; Gary Kee Khoon Lee; Rick Siow Mong Goh (WSC, 2012)

A model for integer-valued time series with conditional overdispersion. - Haiyan Xu 002; Min Xie 001; Thong Ngee Goh; Xiuju Fu (Comput. Stat. Data Anal., 2012)

RiskVis: Supply chain visualization with risk management and real-time monitoring. - Rick Siow Mong Goh; Zhaoxia Wang 001; Xiaofeng Yin; Xiuju Fu; Loganathan Ponnambalam; Sifei Lu; Xiaorong Li (CASE, 2013)

Disclosing Climate Change Patterns Using an Adaptive Markov Chain Pattern Detection Method. - Zhaoxia Wang 001; Gary Lee; Hoong-Maeng Chan; Reuben Mingguang Li; Xiuju Fu; Rick Siow Mong Goh; Pauline Aw; Martin Hibberd; Hoong Chor Chin (SOCIETY, 2013)

Improving the genetic-algorithm-optimized wavelet neural network for stock market prediction. - Yu Fang; Kamaladdin Fataliyev; Lipo Wang; Xiuju Fu; Yaoli Wang (IJCNN, 2014)

An intelligent analysis and prediction model for on-demand cloud computing systems. - Xiuju Fu; Xiaorong Li; Yongqing Zhu; Lipo Wang; Rick Siow Mong Goh (IJCNN, 2014)

Improvement of the Multiple-View Learning Based on the Self-Organizing Maps. - Tomasz Galkowski; Artur Starczewski; Xiuju Fu (ICAISC, 2015)

Risk Analysis and Quantification of Vulnerability in Maritime Transportation Network Using AIS Data. - Kiyotaka Ide; Loganathan Ponnambalam; Akira Namatame; Xiuju Fu; Rick Siow Mong Goh (ICCL, 2015)

A model to evaluate risk propagation considering effect of dynamic risk information sharing and multi-sourcing in supply chain networks. - Haiyan Xu 002; Xiuju Fu; Loganathan Ponnambalam; Akira Namatame; Xiaofeng Yin; Rick Siow Mong Goh (IEEM, 2015)

On centripetal flows of entities in scale-free networks with nodes of finite capability. - Jesus F. B. Valenzuela; Christopher P. Monterola; Erika Fille T. Legara; Xiuju Fu; Rick Siow Mong Goh (Complex., 2015)

Market fluctuation risk evaluation model for planning in manufacturing. - Xiaofeng Yin; Xiuju Fu; Loganathan Ponnambalam; Haiyan Xu 002; Rick Siow Mong Goh (ICARCV, 2016)

Data-driven multi-agent system for maritime traffic safety management. - Zhe Xiao; Xiuju Fu; Liye Zhang; Loganathan Ponnambalam; Rick Siow Mong Goh (ITSC, 2017)

Optimal design of master-worker architecture for parallelized simulation optimization. - Haobin Li; Xiuju Fu; Xiaofeng Yin; Giulia Pedrielli; Loo Hay Lee (WSC, 2017)

Maritime Traffic Probabilistic Forecasting Based on Vessels' Waterway Patterns and Motion Behaviors. - Zhe Xiao; Loganathan Ponnambalam; Xiuju Fu; Wanbing Zhang (IEEE Trans. Intell. Transp. Syst., 2017)

A Network-Based Impact Measure for Propagated Losses in a Supply Chain Network Consisting of Resilient Components. - Jesus Felix Bayta Valenzuela; Xiuju Fu; Gaoxi Xiao; Rick Siow Mong Goh (Complex., 2018)

Data Privacy-Preserving Automation Architecture for Industrial Data Exchange in Smart Cities. - Zhe Xiao; Xiuju Fu; Rick Siow Mong Goh (IEEE Trans. Ind. Informatics, 2018)

QLDS: A Novel Design Scheme for Trajectory Privacy Protection with Utility Guarantee in Participatory Sensing. - Zhe Xiao; Jingjing Yang; Ming Huang 003; Loganathan Ponnambalam; Xiuju Fu; Rick Siow Mong Goh (IEEE Trans. Mob. Comput., 2018)

Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining - A Case Study based on Automatic Identification System Data. - Haiyan Xu 002; Vasundhara Jayaraman; Xiuju Fu; Nasri Bin Othman; Wanbing Zhang; Xiaofeng Yin; Deqing Zhai; Rick Siow Mong Goh (IEEM, 2019)

Optimization and Simulation on Tanker Vessels Scheduling for Efficient Terminal Operations. - Deqing Zhai; Xiuju Fu; Haiyan Xu 002; Xiaofeng Yin; Jayaraman Vasundhara; Wanbing Zhang; Rick Siow Mong Goh (IEEM, 2019)

Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey. - Zhe Xiao; Xiuju Fu; Liye Zhang; Rick Siow Mong Goh (IEEE Trans. Intell. Transp. Syst., 2020)

Concurrent Processing Cluster Design to Empower Simultaneous Prediction for Hundreds of Vessels' Trajectories in Near Real-Time. - Zhe Xiao; Liye Zhang; Xiuju Fu; Wanbing Zhang; Joey Tianyi Zhou; Rick Siow Mong Goh (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Evaluating the Covid-19 Screening Regime for Cross-Border Workers. - Yiqi Seow; Xiaofeng Yin; Haiyan Xu 002; Xiuju Fu; Zheng Qin 004; Hong Kiat Tan; Li Yang Hsu; Kiesha Prem; Sze Wee Tan (WSC, 2022)

Maritime Disruption Impact Evaluation Using Simulation and Big Data Analytics. - Rong Zhou; Haiyan Xu 002; Xiuju Fu; Xiaofeng Yin; Zheng Qin 004; Liangbin Zhao; Pramod Verma; Mikael Lind (WSC, 2022)

Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach - Part 1. - Deqing Zhai; Xiuju Fu; Xiaofeng Yin; Haiyan Xu 002; Wanbing Zhang; Ning Li (CoRR, 2022)

Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach - Part 2. - Deqing Zhai; Xiuju Fu; Xiaofeng Yin; Haiyan Xu 002; Wanbing Zhang; Ning Li (CoRR, 2022)

Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach. - Deqing Zhai; Xiuju Fu; Xiaofeng Yin; Haiyan Xu 002; Wanbing Zhang (CoRR, 2022)

Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach. - Deqing Zhai; Xiuju Fu; Xiaofeng Yin; Haiyan Xu 002; Wanbing Zhang; Ning Li (CoRR, 2022)

Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques. - Zhe Xiao; Xiuju Fu; Liye Zhang; Wanbing Zhang; Ryan Wen Liu; Zhao Liu; Rick Siow Mong Goh (IEEE Trans. Intell. Transp. Syst., 2022)

Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond. - Xiaocai Zhang; Xiuju Fu; Zhe Xiao; Haiyan Xu 002; Zheng Qin 004 (IEEE Trans. Intell. Transp. Syst., 2022)

A Method for Correcting the Closest Point of Approach Index During Vessel Encounters Based on Dimension Data From AIS. - Liangbin Zhao; Xiuju Fu (IEEE Trans. Intell. Transp. Syst., 2022)

Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning. - Xiaocai Zhang; Xiuju Fu; Zhe Xiao; Haiyan Xu 002; Xiaoyang Wei; Jimmy Koh; Daichi Ogawa; Zheng Qin 004 (ITSC, 2023)

Next-Generation Vessel Traffic Services Systems - From "Passive" to "Proactive". - Zhe Xiao; Xiuju Fu; Liangbin Zhao; Liye Zhang; Tze Kern Teo; Ning Li; Wanbing Zhang; Zheng Qin 004 (IEEE Intell. Transp. Syst. Mag., 2023)

Automating Maritime Risk Data Collection and Identification Leveraging Large Language Models. - Donghao Huang; Xiuju Fu; Xiaofeng Yin; Haibo Pen; Zhaoxia Wang 001 (ICDM (Workshops), 2024)

Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs. - Shengming Wang; Xiaocai Zhang; Jing Li; Xiaoyang Wei; Hoong Chuin Lau; Bing Tian Dai; Binbin Huang; Zhe Xiao; Xiuju Fu; Zheng Qin 004 (IJCAI, 2024)

Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting. - Jing Li 009; Yinghua Yao; Yuangang Pan; Xuanqian Wang; Ivor W. Tsang; Xiuju Fu (CoRR, 2024)

Rethinking Blockchain Technologies for the Maritime Industry: An Overview of the Current Landscape. - Heejoo Kim; Zhe Xiao; Xiaocai Zhang; Xiuju Fu; Zheng Qin 004 (Future Internet, 2024)

A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data. - Xiaocai Zhang; Zhe Xiao; Xiuju Fu; Xiaoyang Wei; Tao Liu 016; Ran Yan; Zheng Qin 004; Jianjia Zhang (Expert Syst. Appl., 2024)

A Dynamic Context-Aware Approach for Vessel Trajectory Prediction Based on Multi-Stage Deep Learning. - Xiaocai Zhang; Xiuju Fu; Zhe Xiao; Haiyan Xu 002; Wanbing Zhang; Jimmy Koh; Zheng Qin 004 (IEEE Trans. Intell. Veh., 2024)

Lightweight Multimodal Artificial Intelligence Framework for Maritime Multi-Scene Recognition. - Xinyu Xi; Hua Yang; Shentai Zhang; Yijie Liu; Sijin Sun; Xiuju Fu (CoRR, 2025)

VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Language. - Sijin Sun; Liangbin Zhao; Ming Deng; Xiuju Fu (CoRR, 2025)

MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model. - Jiongchao Jin; Xiuju Fu; Xiaowei Gao; Tao Cheng; Ran Yan (CoRR, 2025)