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ORCIDYuan Sun 0003
Person information
- affiliation (PhD 2013): University of Melbourne, Department of Mechanical Engineering, Parkville, VIC, Australia
Other persons with the same name
- Yuan Sun (aka: Yu-An Sun) — disambiguation page
- Yuan Sun 0001 — University of California at Santa Barbara, Department of Computer Science, CA, USA
- Yuan Sun 0002
![[0000-0002-8659-1870]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8659-1870")
— Zhejiang Gongshang University, School of Business Administration / Contemporary Business and Trade Research Center, China - Yuan Sun 0004 — Northwestern Polytechnical University, School of Computer Science and Engineering, Xi'an, China
- Yuan Sun 0005 — RMIT University, Department of Computer Science and Software Engineering, Melbourne, VIC, Australia
- Yuan Sun 0006 — National Institute of Informatics, Sokendai, Tokyo, Japan
- Yuan Sun 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Yuan Sun 0008 — Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- Yuan Sun 0009 — Soochow University, School of Mechanical and Electrical Engineering, China (and 1 more)
- Yuan Sun 0010 — Minzu University of China, Beijing, China
- Yuan Sun 0011 — Beijing University of Posts and Telecommunications, Beijing, China (and 1 more)
- Yuan Sun 0012 — Southeast University, Nanjing, China
- Yuan Sun 0013 — Tongji University, Shanghai, China
- Yuan Sun 0014 — Pennsylvania State University, University Park, PA, USA
- Yuan Sun 0015 — Xerox (and 1 more)
- Yuan Sun 0016 — Sichuan University, Chengdu, China
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2020 – today
- 2024
[j18]Yuan Sun, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan:
Instance space analysis for the car sequencing problem. Ann. Oper. Res. 341(1): 41-69 (2024)- [j17]Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li:
Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty. Int. J. Prod. Res. 62(17): 6227-6250 (2024) - [j16]Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Bolong Zheng, Zhiyong Peng:
A learned cost model for big data query processing. Inf. Sci. 670: 120650 (2024) - [j15]Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin:
Enhancing constraint programming via supervised learning for job shop scheduling. Knowl. Based Syst. 293: 111698 (2024) - [c20]Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon:
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams. GECCO 2024 - [c19]Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang:
Genetic-based Constraint Programming for Resource Constrained Job Scheduling. GECCO 2024 - [c18]Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li:
Machine Learning-Enhanced Ant Colony Optimization for Column Generation. GECCO 2024 - [c17]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. ICML 2024 - [i19]Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang:
Genetic-based Constraint Programming for Resource Constrained Job Scheduling. CoRR abs/2402.00459 (2024) - [i18]Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon:
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams. CoRR abs/2404.12076 (2024) - [i17]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang:
Adaptive Stabilization Based on Machine Learning for Column Generation. CoRR abs/2405.11198 (2024) - [i16]Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Xiaodong Li, Zhiyong Peng:
Efficient k-means with Individual Fairness via Exponential Tilting. CoRR abs/2406.16557 (2024) - [i15]Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li:
Machine Learning-Enhanced Ant Colony Optimization for Column Generation. CoRR abs/2407.01546 (2024) - [i14]Shengkun Zhu, Jinshan Zeng, Sheng Wang, Yuan Sun, Xiaodong Li, Yuan Yao, Zhiyong Peng:
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness. CoRR abs/2407.16397 (2024) - 2023
- [j14]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: 100061 (2023) - [j13]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Adaptive solution prediction for combinatorial optimization. Eur. J. Oper. Res. 309(3): 1392-1408 (2023) - [j12]Juntao Zhang, Sheng Wang, Yuan Sun, Zhiyong Peng:
Prerequisite-driven Fair Clustering on Heterogeneous Information Networks. Proc. ACM Manag. Data 1(2): 122:1-122:27 (2023) - [j11]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): 241:1-241:25 (2023) - [c16]Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li:
Large-Scale Optimization and Learning. GECCO Companion 2023: 1477-1502 - [c15]Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner:
Learning to Generate Columns with Application to Vertex Coloring. ICLR 2023 - [i13]Pivithuru Thejan Amarasinghe, Su Nguyen, Yuan Sun, Damminda Alahakoon:
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling. CoRR abs/2309.13218 (2023) - [i12]Wenzhe Yang, Sheng Wang, Yuan Sun, Zhiyu Chen, Zhiyong Peng:
Efficient Spatial Dataset Search over Multiple Data Sources. CoRR abs/2311.13383 (2023) - 2022
- [j10]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: 105769 (2022) - [j9]Wenzhe Yang, Sheng Wang, Yuan Sun, Zhiyong Peng:
Fast Dataset Search with Earth Mover's Distance. Proc. VLDB Endow. 15(11): 2517-2529 (2022) - [c14]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. AAAI 2022: 9926-9934 - [c13]Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Zhiyong Peng:
A Resource-Aware Deep Cost Model for Big Data Query Processing. ICDE 2022: 885-897 - [c12]Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee:
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. NeurIPS 2022 - [i11]Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee:
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. CoRR abs/2210.07686 (2022) - [i10]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 abs/2210.17036 (2022) - [i9]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 abs/2211.14492 (2022) - [i8]Yuan Sun, Winton Nathan-Roberts, Tien-Dung Pham, Ellen Otte, Uwe Aickelin:
Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data. CoRR abs/2211.14493 (2022) - 2021
- [j8]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): 847-862 (2021) - [j7]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): 607-633 (2021) - [j6]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): 1746-1760 (2021) - [c11]Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. IJCNN 2021: 1-8 - [c10]Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao:
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. SIGMOD Conference 2021: 1906-1919 - [i7]Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao:
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. CoRR abs/2103.16084 (2021) - [i6]Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. CoRR abs/2107.00866 (2021) - [i5]Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. CoRR abs/2112.04906 (2021) - 2020
- [j5]Sheng Wang, Yuan Sun, Zhifeng Bao:
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. Proc. VLDB Endow. 14(2): 163-175 (2020) - [c9]Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan:
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI 2020: 5908-5915 - [c8]Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun:
Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach. GECCO 2020: 263-270 - [i4]Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner:
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems. CoRR abs/2005.05847 (2020) - [i3]Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley:
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning. CoRR abs/2008.04213 (2020) - [i2]Sheng Wang, Yuan Sun, Zhifeng Bao:
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. CoRR abs/2010.06654 (2020) - [i1]Yuan Sun, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan:
Instance Space Analysis for the Car Sequencing Problem. CoRR abs/2012.10053 (2020)
2010 – 2019
- 2019
- [j4]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. 19-S(13): 377:1-377:12 (2019) - [c7]Yuan Sun, Xiaodong Li, Andreas T. Ernst, Mohammad Nabi Omidvar:
Decomposition for Large-scale Optimization Problems with Overlapping Components. CEC 2019: 326-333 - [c6]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: 294-302 - 2018
- [j3]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
A Recursive Decomposition Method for Large Scale Continuous Optimization. IEEE Trans. Evol. Comput. 22(5): 647-661 (2018) - [c5]Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li:
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition. GECCO 2018: 889-896 - [c4]Yuan Sun, Michael Kirley, Xiaodong Li:
Cooperative co-evolution with online optimizer selection for large-scale optimization. GECCO 2018: 1079-1086 - 2017
- [b1]Yuan Sun:
On the analysis of interaction between decision variables. University of Melbourne, Parkville, Victoria, Australia, 2017 - [j2]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
Quantifying Variable Interactions in Continuous Optimization Problems. IEEE Trans. Evol. Comput. 21(2): 249-264 (2017) - [c3]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. ACALCI 2017: 291-300 - 2015
- [j1]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: 224-245 (2015) - [c2]Yuan Sun, Michael Kirley, Saman Kumara Halgamuge:
Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. GECCO 2015: 313-320 - [c1]Yuan Sun, Michael Kirley, Saman Kumara Halgamuge:
On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. GECCO (Companion) 2015: 1213-1216
Coauthor Index
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