Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma. - Timothy Gosling; Nanlin Jin; Edward P. K. Tsang (Congress on Evolutionary Computation, 2005)

Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences. - Nanlin Jin (Congress on Evolutionary Computation, 2005)

Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. - Nanlin Jin; Edward P. K. Tsang (CIG, 2005)

Relative Fitness and Absolute Fitness for Co-evolutionary Systems. - Nanlin Jin; Edward P. K. Tsang (EuroGP, 2005)

Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. - Nanlin Jin; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2006)

Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study. - Edward P. K. Tsang; Nanlin Jin (EuroGP, 2006)

Indirect co-evolution for understanding belief in an incomplete information dynamic game. - Nanlin Jin (GECCO, 2006)

Adaptive farming strategies for dynamic economic environment. - Nanlin Jin; Mette Termansen; Klaus Hubacek; Joseph Holden; Mike Kirkby (IEEE Congress on Evolutionary Computation, 2007)

Genetic Algorithm-based ecosystem for heather management. - Nanlin Jin (IEEE Congress on Evolutionary Computation, 2008)

Genetic Algorithms for dynamic land-use optimization. - Nanlin Jin; Mette Termansen; Klaus Hubacek (IEEE Congress on Evolutionary Computation, 2008)

Adaptive Land-Use Management in Dynamic Ecological System. - Nanlin Jin; Daniel S. Chapman; Klaus Hubacek (EvoWorkshops, 2009)

A constraint-guided method with evolutionary algorithms for economic problems. - Nanlin Jin; Edward P. K. Tsang; Jin Li (Appl. Soft Comput., 2009)

Bargaining strategies designed by evolutionary algorithms. - Nanlin Jin; Edward P. K. Tsang (Appl. Soft Comput., 2011)

Heuristic optimization for software project management with impacts of team efficiency. - Nanlin Jin; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2014)

Closed form fuzzy interpolation with interval type-2 fuzzy sets. - Longzhi Yang; Chengyuan Chen; Nanlin Jin; Xin Fu; Qiang Shen 001 (FUZZ-IEEE, 2014)

Subgroup Discovery in Smart Electricity Meter Data. - Nanlin Jin; Peter A. Flach; Tom Wilcox; Royston Sellman; Joshua Thumim; Arno J. Knobbe (IEEE Trans. Ind. Informatics, 2014)

Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data. - Reem Al-Otaibi; Nanlin Jin; Tom Wilcox; Peter A. Flach (IEEE Trans. Ind. Informatics, 2016)

Live video transmission over data distribution service with existing low-power platforms. - A. Bagley; Gerhard Fehringer; Nanlin Jin; Steve Cammish (ICC, 2017)

Adoption of Cloud Computing in Hotel Industry as Emerging Services. - Elaine Vella; Longzhi Yang; Naveed Anwar; Nanlin Jin (iConference, 2018)

Time-series Deep Learning Fault Detection with the Application of Wind Turbine Benchmark. - Reihane Rahimilarki; David Zhiwei Gao; Nanlin Jin; Aihua Zhang 003 (INDIN, 2019)

A Smart Gateway Enabling OPC UA and DDS Interoperability. - Ranti Endeley; Tom Fleming; Nanlin Jin; Gerhard Fehringer; Steve Cammish (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

A Big Data platform for smart meter data analytics. - Tom Wilcox; Nanlin Jin; Peter A. Flach; Joshua Thumim (Comput. Ind., 2019)

Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices. - Tiancheng Xia; Richard Jiang 001; YongQing Fu; Nanlin Jin (CoRR, 2019)

Data-driven Sensor Fault Estimation for the Wind Turbine Systems. - Reihane Rahimilarki; Zhiwei Gao 001; Nanlin Jin; Richard Binns; Aihua Zhang 003 (ISIE, 2020)

Concept drift detection with False Positive rate for multi-label classification in IoT data stream. - Pingfan Wang; Nanlin Jin; Gerhard Fehringer (UCET, 2020)

Laplacian Scores-Based Feature Reduction in IoT Systems for Agricultural Monitoring and Decision-Making Support. - Giorgos Tsapparellas; Nanlin Jin; Xuewu Dai; Gerhard Fehringer (Sensors, 2020)

Low-Cost Automatic Slope Monitoring Using Vector Tracking Analyses on Live-Streamed Time-Lapse Imagery. - Muhammad Waqas Khan; Stuart Dunning; Rupert Bainbridge; James Martin; Alejandro Diaz-Moreno; Hamdi Torun; Nanlin Jin; John Woodward; Michael Lim (Remote. Sens., 2021)

Deep Learning To Model The Complexity Of Algal Bloom. - Haoyu Wu; Zhibin Lin; Borong Lin; Zhenhao Li; Nanlin Jin; Xiaohui Zhu (CyberC, 2022)

Concept Drift Detection by Tracking Weighted Prediction Confidence of Incremental Learning. - Pingfan Wang; Wai Lok Woo; Nanlin Jin; Duncan Davies (IVSP, 2022)

Noise tolerant drift detection method for data stream mining. - Pingfan Wang; Nanlin Jin; Wai Lok Woo; John R. Woodward; Duncan Davies (Inf. Sci., 2022)

Visual-Based Hearing-Dog Robots For Users With Hearing Impairment. - Muyi Bao; Songhao Li; Nanlin Jin; Quan Zhang (CyberC, 2023)

EEG-based Anxiety Detection with Feature Selection. - Jeongyeong Park; Nanlin Jin; Jianjun Chen; Jun Qi 001 (CyberC, 2023)

Advancements in Battery State of Charge Estimation Methods for Battery Management Systems: A Comprehensive Literature Review. - Ningfei Song; Nanlin Jin; Jingchen Wang; Jie Zhang 030; Jeremy S. Smith; Yutao Yue; Young-Ae Jung; Ka Lok Man (EWDTS, 2023)

Word Orthography and Relationship-Dominant Engineering (WOR-De) Model for Wordle Game. - Yifei Hu; Xinyao Zhuang; Yuxin Wan; Nanlin Jin; Xiaohui Zhu (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

CapsNet-based drift detection in data stream mining. - Borong Lin; Nanlin Jin (PRIS, 2023)

Policy Updating Methods of Q Learning for Two Player Bargaining Game. - Jianing Xu; Bei Zhou; Nanlin Jin (PRIS, 2023)

Model-centric transfer learning framework for concept drift detection. - Pingfan Wang; Nanlin Jin; Duncan Davies; Wai Lok Woo (Knowl. Based Syst., 2023)

Cloud computing deployment: a cost-modelling case-study. - Jeremy Ellman; Nathan Lee; Nanlin Jin (Wirel. Networks, 2023)

Efficient Concept Drift Detection: A Meta Feature Selection Approach. - Zelong Liu; Pingfan Wang; Nanlin Jin (ICISS, 2024)

State of Charge Estimation for Lithium-Ion Batteries Based on Informer-LSTM Hybrid Network. - Ningfei Song; Nanlin Jin; Jingchen Wang; Jie Zhang 030; Ka Lok Man; Jeremy S. Smith; Yutao Yue (ISOCC, 2024)

RealDriftGenerator: A Novel Approach to Generate Concept Drift in Real World Scenario. - Borong Lin; Chao Huang; Xiaohui Zhu; Nanlin Jin (SMC, 2024)

QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams. - Pingfan Wang; Hang Yu; Nanlin Jin; Duncan Davies; Wai Lok Woo (Expert Syst. Appl., 2024)

AlexCapsNet: An Integrated Architecture for Image Classification With Background Noise. - Muyi Bao; Nanlin Jin; Ming Xu (IEEE Access, 2025)

A dynamic routing algorithm of CapsNet for drift prognosis. - Borong Lin; Nanlin Jin; John R. Woodward (Expert Syst. Appl., 2026)