An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning. - Yi-Nan Guo 001; Pei Zhang 014; Jian Cheng 004; Yong Zhang 016; Lingkai Yang; Xiaoning Shen; Wei Fang 001 (ICSI (2), 2017)

Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning. - Lingkai Yang; Yi-Nan Guo 001; Jian Cheng 004 (AAAI, 2019)

BackgroundNet: Small Dataset-Based Object Detection in Stationary Scenes. - Jian Cheng 004; Shaoying Chen; Kun Liu; Lingkai Yang; Dongwei Wang (ICSI (2), 2019)

Analysing Business Process Anomalies Using Discrete-time Markov chains. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kashaf Khan; Kevin Burke (HPCC/DSS/SmartCity, 2020)

Process Duration Modelling and Concept Drift Detection for Business Process Mining. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kevin Burke; Kashaf Khan (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

A novel oversampling technique based on the manifold distance for class imbalance learning. - Yinan Guo 001; Botao Jiao; Lingkai Yang; Jian Cheng 004; Shengxiang Yang; Fengzhen Tang (Int. J. Bio Inspired Comput., 2021)

Detecting and Responding to Concept Drift in Business Processes. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kevin Burke; Kashaf Khan (Algorithms, 2022)

A multi-components approach to monitoring process structure and customer behaviour concept drift. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kevin Burke; Kashaf Khan (Expert Syst. Appl., 2022)

Process task durations in a hospital billing process. - Lingkai Yang (IEEE DataPort, 2023)

Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes. - Sally I. McClean; Dongwei Wang; Lingkai Yang; Ian R. McChesney; Zeeshan Tariq; Shalini Prasad (UCAmI, 2024)

Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment. - Lingkai Yang; Sally I. McClean; Mark P. Donnelly; Kashaf Khan; Kevin Burke (ACM Trans. Knowl. Discov. Data, 2024)

Gamma-mixture Bayesian method for anomalous coalmine pressure analysis. - Lingkai Yang; Jian Cheng 004; Yi Luo; Xiaoyu Zhang; Tianbai Zhou; Linhao Nie (Memetic Comput., 2024)

Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation. - Lingkai Yang; Sally I. McClean; Kevin Burke; Mark P. Donnelly; Kashaf Khan (Data Knowl. Eng., 2025)

Detecting and rationalizing concept drift: A feature-level approach for understanding cause-effect relationships in dynamic environments. - Lingkai Yang; Jian Cheng 004; Yi Luo; Tianbai Zhou; Xiaoyu Zhang (Expert Syst. Appl., 2025)

Multiscale Dynamic Weight-Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery. - Wenliao Du; Lingkai Yang; Xiaoyun Gong; Jie Liu 015; Hongchao Wang 002 (IEEE Trans. Instrum. Meas., 2025)

Automating mixture model fitting of task durations for process conformance checking. - Lingkai Yang; Sally I. McClean; Malcolm J. Faddy; Mark P. Donnelly; Kashaf Khan; Kevin Burke (Data Min. Knowl. Discov., 2025)