Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. - Yuan Sun 003; Michael Kirley; Saman Kumara Halgamuge (GECCO, 2015)

On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. - Yuan Sun 003; Michael Kirley; Saman Kumara Halgamuge (GECCO (Companion), 2015)

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges. - Mario A. Muñoz; Yuan Sun 003; Michael Kirley; Saman K. Halgamuge (Inf. Sci., 2015)

A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. - Yuan Sun 003; Michael Kirley; Saman K. Halgamuge (ACALCI, 2017)

Quantifying Variable Interactions in Continuous Optimization Problems. - Yuan Sun 003; Michael Kirley; Saman K. Halgamuge (IEEE Trans. Evol. Comput., 2017)

On the analysis of interaction between decision variables. - Yuan Sun 003 (2017)

Cooperative co-evolution with online optimizer selection for large-scale optimization. - Yuan Sun 003; Michael Kirley; Xiaodong Li 001 (GECCO, 2018)

Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. - Yuan Sun 003; Mohammad Nabi Omidvar; Michael Kirley; Xiaodong Li 001 (GECCO, 2018)

A Recursive Decomposition Method for Large Scale Continuous Optimization. - Yuan Sun 003; Michael Kirley; Saman K. Halgamuge (IEEE Trans. Evol. Comput., 2018)

Decomposition for Large-scale Optimization Problems with Overlapping Components. - Yuan Sun 003; Xiaodong Li 001; Andreas T. Ernst; Mohammad Nabi Omidvar (CEC, 2019)

An improved merge search algorithm for the constrained pit problem in open-pit mining. - Angus Kenny; Xiaodong Li 001; Andreas T. Ernst; Yuan Sun 003 (GECCO, 2019)

ENVirT: inference of ecological characteristics of viruses from metagenomic data. - Duleepa Jayasundara; Damayanthi Herath; Damith A. Senanayake; Isaam Saeed; Cheng-Yu Yang; Yuan Sun 003; Bill C. Chang; Sen-Lin Tang; Saman K. Halgamuge (BMC Bioinform., 2019)

Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. - Yuan Sun 003; Wei Wang 083; Michael Kirley; Xiaodong Li 001; Jeffrey Chan (AAAI, 2020)

Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach. - Jake Weiner; Andreas T. Ernst; Xiaodong Li 001; Yuan Sun 003 (GECCO, 2020)

Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems. - Yuan Sun 003; Andreas T. Ernst; Xiaodong Li 002; Jake Weiner (CoRR, 2020)

On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. - Sheng Wang 007; Yuan Sun 003; Zhifeng Bao (Proc. VLDB Endow., 2020)

Learning Primal Heuristics for Mixed Integer Programs. - Yunzhuang Shen; Yuan Sun 003; Andrew C. Eberhard; Xiaodong Li 001 (IJCNN, 2021)

Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. - Sheng Wang 007; Yuan Sun 003; Christopher Musco; Zhifeng Bao (SIGMOD Conference, 2021)

Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid. - Jake Weiner; Andreas T. Ernst; Xiaodong Li 001; Yuan Sun 003; Kalyanmoy Deb (Eur. J. Oper. Res., 2021)

Generalization of machine learning for problem reduction: a case study on travelling salesman problems. - Yuan Sun 003; Andreas T. Ernst; Xiaodong Li 001; Jake Weiner (OR Spectr., 2021)

Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems. - Yuan Sun 003; Xiaodong Li 001; Andreas T. Ernst (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. - Yunzhuang Shen; Yuan Sun 003; Xiaodong Li 001; Andrew C. Eberhard; Andreas T. Ernst (AAAI, 2022)

A Resource-Aware Deep Cost Model for Big Data Query Processing. - Yan Li; Liwei Wang 011; Sheng Wang 007; Yuan Sun 003; Zhiyong Peng 001 (ICDE, 2022)

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. - Jieyi Bi; Yining Ma 001; Jiahai Wang; Zhiguang Cao; Jinbiao Chen; Yuan Sun 003; Yeow Meng Chee (NeurIPS, 2022)

Boosting ant colony optimization via solution prediction and machine learning. - Yuan Sun 003; Sheng Wang 007; Yunzhuang Shen; Xiaodong Li 001; Andreas T. Ernst; Michael Kirley (Comput. Oper. Res., 2022)

Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling. - Dhananjay R. Thiruvady; Su Nguyen; Yuan Sun 003; Fatemeh Shiri; Nayyar Zaidi; Xiaodong Li 001 (CoRR, 2022)

Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data. - Yuan Sun 003; Winton Nathan-Roberts; Tien-Dung Pham; Ellen Otte; Uwe Aickelin (CoRR, 2022)

Fast Dataset Search with Earth Mover's Distance. - Wenzhe Yang 001; Sheng Wang 007; Yuan Sun 003; Zhiyong Peng 001 (Proc. VLDB Endow., 2022)

Large-Scale Optimization and Learning. - Mohammad Nabi Omidvar; Yuan Sun 003; Xiaodong Li 001 (GECCO Companion, 2023)

Learning to Generate Columns with Application to Vertex Coloring. - Yuan Sun 003; Andreas T. Ernst; Xiaodong Li 001; Jake Weiner (ICLR, 2023)

AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling. - Pivithuru Thejan Amarasinghe; Su Nguyen; Yuan Sun 003; Damminda Alahakoon (CoRR, 2023)

Efficient Spatial Dataset Search over Multiple Data Sources. - Wenzhe Yang 001; Sheng Wang 007; Yuan Sun 003; Zhiyu Chen; Zhiyong Peng 001 (CoRR, 2023)

Adaptive solution prediction for combinatorial optimization. - Yunzhuang Shen; Yuan Sun 003; Xiaodong Li 001; Andrew C. Eberhard; Andreas T. Ernst (Eur. J. Oper. Res., 2023)

Prerequisite-driven Fair Clustering on Heterogeneous Information Networks. - Juntao Zhang; Sheng Wang 007; Yuan Sun 003; Zhiyong Peng 001 (Proc. ACM Manag. Data, 2023)

Ranking constraint relaxations for mixed integer programs using a machine learning approach. - Jake Weiner; Andreas T. Ernst; Xiaodong Li 001; Yuan Sun 003 (EURO J. Comput. Optim., 2023)

F3KM: Federated, Fair, and Fast k-means. - Shengkun Zhu; Quanqing Xu; Jinshan Zeng; Sheng Wang 007; Yuan Sun 003; Zhifeng Yang; Chuanhui Yang; Zhiyong Peng 001 (Proc. ACM Manag. Data, 2023)

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams. - Pivithuru Thejan Amarasinghe; Diem Pham; Binh Tran; Su Nguyen; Yuan Sun 003; Damminda Alahakoon (GECCO, 2024)

Genetic-based Constraint Programming for Resource Constrained Job Scheduling. - Su Nguyen; Dhananjay R. Thiruvady; Yuan Sun 003; Mengjie Zhang 001 (GECCO, 2024)

Machine Learning-Enhanced Ant Colony Optimization for Column Generation. - Hongjie Xu; Yunzhuang Shen; Yuan Sun 003; Xiaodong Li 001 (GECCO, 2024)

Adaptive Stabilization Based on Machine Learning for Column Generation. - Yunzhuang Shen; Yuan Sun 003; Xiaodong Li 001; Zhiguang Cao; Andrew C. Eberhard; Guangquan Zhang 001 (ICML, 2024)

Efficient k-means with Individual Fairness via Exponential Tilting. - Shengkun Zhu; Jinshan Zeng; Yuan Sun 003; Sheng Wang 007; Xiaodong Li 001; Zhiyong Peng 001 (CoRR, 2024)

On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness. - Shengkun Zhu; Jinshan Zeng; Sheng Wang 007; Yuan Sun 003; Xiaodong Li 001; Yuan Yao 011; Zhiyong Peng 001 (CoRR, 2024)

A Unified Approach for Multi-granularity Search over Spatial Datasets. - Wenzhe Yang 001; Sheng Wang 007; Shixun Huang; Yuyang Liao; Yuan Sun 003; Juliana Freire; Zhiyong Peng 001 (CoRR, 2024)

Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty. - Dhananjay R. Thiruvady; Su Nguyen; Yuan Sun 003; Fatemeh Shiri; Nayyar Zaidi; Xiaodong Li 001 (Int. J. Prod. Res., 2024)

A learned cost model for big data query processing. - Yan Li; Liwei Wang 011; Sheng Wang 007; Yuan Sun 003; Bolong Zheng; Zhiyong Peng 001 (Inf. Sci., 2024)

Enhancing constraint programming via supervised learning for job shop scheduling. - Yuan Sun 003; Su Nguyen; Dhananjay R. Thiruvady; Xiaodong Li 001; Andreas T. Ernst; Uwe Aickelin (Knowl. Based Syst., 2024)

Instance space analysis for the car sequencing problem. - Yuan Sun 003; Samuel Esler; Dhananjay R. Thiruvady; Andreas T. Ernst; Xiaodong Li 001; Kerri Morgan (Ann. Oper. Res., 2024)

On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable $k$-Means. - Yushuai Ji; Zepeng Liu; Sheng Wang 007; Yuan Sun 003; Zhiyong Peng 001 (ICDE, 2025)

Joinable Search Over Multi-Source Spatial Datasets: Overlap, Coverage, and Efficiency. - Wenzhe Yang 001; Sheng Wang 007; Zhiyu Chen; Yuan Sun 003; Zhiyong Peng 001 (ICDE, 2025)

FedAPM: Federated Learning via ADMM with Partial Model Personalization. - Shengkun Zhu; Feiteng Nie; Jinshan Zeng; Sheng Wang 007; Yuan Sun 003; Yuan Yao 011; Shangfeng Chen; Quanqing Xu; Chuanhui Yang (CoRR, 2025)