Yuan Sun

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 39

Top Venues

CoRR

GECCO

Proc. ACM Manag. Data

AAAI

University of Melbourne, Parkville, Victoria, Australia (PHD)

Education History

University of Melbourne, Parkville, Victoria, Australia

PHD

Publications

Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang
Genetic-based Constraint Programming for Resource Constrained Job Scheduling. CoRR (2024)
Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun
Ranking constraint relaxations for mixed integer programs using a machine learning approach. EURO J. Comput. Optim. 11 (2023)
Pivithuru Thejan Amarasinghe, Su Nguyen, Yuan Sun, Damminda Alahakoon
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling. CoRR (2023)
Juntao Zhang, Sheng Wang, Yuan Sun, Zhiyong Peng
Prerequisite-driven Fair Clustering on Heterogeneous Information Networks. Proc. ACM Manag. Data 1 (2) (2023)
Shengkun Zhu, Quanqing Xu, Jinshan Zeng, Sheng Wang, Yuan Sun, Zhifeng Yang, Chuanhui Yang, Zhiyong Peng
F3KM: Federated, Fair, and Fast k-means. Proc. ACM Manag. Data 1 (4) (2023)
Shengkun Zhu, Jinshan Zeng, Sheng Wang, Yuan Sun, Zhiyong Peng
Personalized Federated Learning via ADMM with Moreau Envelope. CoRR (2023)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
Adaptive solution prediction for combinatorial optimization. Eur. J. Oper. Res. 309 (3) (2023)
Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner
Learning to Generate Columns with Application to Vertex Coloring. ICLR (2023)
Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li
Large-Scale Optimization and Learning. GECCO Companion (2023)
Wenzhe Yang, Sheng Wang, Yuan Sun, Zhiyu Chen, Zhiyong Peng
Efficient Spatial Dataset Search over Multiple Data Sources. CoRR (2023)
Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling. CoRR (2022)
Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley
Boosting ant colony optimization via solution prediction and machine learning. Comput. Oper. Res. 143 (2022)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew S. Eberhard, Andreas T. Ernst
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. AAAI (2022)
Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling. CoRR (2022)
Yunzhuang Shen, Yuan Sun, Andrew S. Eberhard, Xiaodong Li
Learning Primal Heuristics for Mixed Integer Programs. IJCNN (2021)
Yuan Sun, Xiaodong Li, Andreas T. Ernst
Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner
Generalization of machine learning for problem reduction: a case study on travelling salesman problems. OR Spectr. 43 (3) (2021)
Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun, Kalyanmoy Deb
Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid. Eur. J. Oper. Res. 293 (3) (2021)
Yunzhuang Shen, Yuan Sun, Andrew S. Eberhard, Xiaodong Li
Learning Primal Heuristics for Mixed Integer Programs. CoRR (2021)
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew S. Eberhard, Andreas T. Ernst
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. CoRR (2021)
Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. SIGMOD Conference (2021)
Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. CoRR (2021)
Sheng Wang, Yuan Sun, Zhifeng Bao
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. Proc. VLDB Endow. 14 (2) (2020)
Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning. CoRR (2020)
Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI (2020)
Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems. CoRR (2020)
Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun
Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach. GECCO (2020)
Yuan Sun, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan
Instance Space Analysis for the Car Sequencing Problem. CoRR (2020)
Angus Kenny, Xiaodong Li, Andreas T. Ernst, Yuan Sun
An improved merge search algorithm for the constrained pit problem in open-pit mining. GECCO (2019)
Yuan Sun, Xiaodong Li, Andreas T. Ernst, Mohammad Nabi Omidvar
Decomposition for Large-scale Optimization Problems with Overlapping Components. CEC (2019)
Duleepa Jayasundara, Damayanthi Herath, Damith A. Senanayake, Isaam Saeed, Cheng-Yu Yang, Yuan Sun, Bill C. Chang, Sen-Lin Tang, Saman K. Halgamuge
ENVirT: inference of ecological characteristics of viruses from metagenomic data. BMC Bioinform. (13) (2019)
Yuan Sun, Michael Kirley, Xiaodong Li
Cooperative co-evolution with online optimizer selection for large-scale optimization. GECCO (2018)
Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO (2018)
Yuan Sun, Michael Kirley, Saman K. Halgamuge
A Recursive Decomposition Method for Large Scale Continuous Optimization. IEEE Trans. Evol. Comput. 22 (5) (2018)
Yuan Sun, Michael Kirley, Saman K. Halgamuge
Quantifying Variable Interactions in Continuous Optimization Problems. IEEE Trans. Evol. Comput. 21 (2) (2017)
Yuan Sun, Michael Kirley, Saman K. Halgamuge
A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. ACALCI (2017)
Mario A. Muñoz, Yuan Sun, Michael Kirley, Saman K. Halgamuge
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges. Inf. Sci. 317 (2015)
Yuan Sun, Michael Kirley, Saman Kumara Halgamuge
On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. GECCO (Companion) (2015)
Yuan Sun, Michael Kirley, Saman Kumara Halgamuge
Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. GECCO (2015)

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Publication Activity (10 Years)

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Yuan Sun