A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model. - Changshou Deng; Xujie Tan; Xiaogang Dong; Yucheng Tan (BIC-TA, 2015)

Differential Evolution with Novel Local Search Operation for Large Scale Optimization Problems. - Changshou Deng; Xiaogang Dong; Yanlin Yang; Yucheng Tan; Xujie Tan (ICSI (1), 2015)

SparkDE: 一种基于RDD云计算模型的并行差分进化算法 (SparkDE: A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model in Cloud Computing). - Xujie Tan; Changshou Deng; Xiaogang Dong; Sihao Yuan; Zhijian Wu; Hu Peng (计算机科学, 2016)

SparkCUDE: a spark-based differential evolution for large-scale global optimisation. - Hu Peng; Xujie Tan; Changshou Deng; Shunxu Peng (Int. J. High Perform. Syst. Archit., 2017)

A clustering-based differential evolution with parapatric and cross-generation selection. - Xujie Tan; Seong-Yoon Shin (Int. J. Comput. Vis. Robotics, 2021)

Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems. - Xujie Tan; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024 (SAFEPROCESS, 2023)

Multi-Mechanism-Driven Whale Optimization Algorithm for Collaborative Scheduling of Industrial Equipment. - Bin Lin; Yalin Wang 003; Xujie Tan; Lin Guan; Zhifeng Qiu; Geert Deconinck; Chenliang Liu (ASCC, 2024)

Genetic Algorithm Driven by Translational Mutation Operator for the Scheduling Optimization in the Steelmaking-Continuous Casting Production. - Lin Guan; Yalin Wang 003; Xujie Tan; Chenliang Liu (IIP (1), 2024)

Unveiling the potential of progressive training diffusion model for defect image generation and recognition in industrial processes. - Yalin Wang 003; Zexiong Zhou; Xujie Tan; Yuqing Pan; Junqi Yuan; Zhifeng Qiu; Chenliang Liu (Neurocomputing, 2024)

Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. - Yalin Wang 003; Xujie Tan; Chenliang Liu; Pei-Qiu Huang; Qingfu Zhang 001; Chunhua Yang 001 (Swarm Evol. Comput., 2024)

An Evolutionary Algorithm with Adaptive Global-Local Diversity for Data-Driven Optimization and Its Industrial Application. - Xujie Tan; Yalin Wang 003; Jing Liao 014; Guohua Wu 001; Qizhang Luo; Chenliang Liu (ICPS, 2025)

TsDa-ASAM: Balancing efficiency and accuracy in coke image particle size segmentation via two-stage distillation-aware adaptive segment anything model. - Yalin Wang 003; Yubin Peng; Xujie Tan; Yuqing Pan; Chenliang Liu (Appl. Intell., 2025)