Yuan Sun

75 papers A* 9A 8B 2Misc 1Journal 48Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
BraveANN: Robust Approximate Nearest Neighbor Search for Billion-Scale Vectors.
World Wide Web (WWW)
Shengkun Zhu, Yiming Wang, Xin Jin, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuhui Lai, Zhiyong Peng
2026 J jnl
Erratum: Introduction to the Special Issue on Large-Scale Optimization and Learning.
ACM Trans. Evol. Learn. Optim.
Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li, Christian Blum
2026 J jnl
HeadLighter: Disentangling Illumination in Generative 3D Gaussian Heads via Lightstage Captures.
CoRR
Yating Wang, Yuan Sun, Xuan Wang, Ran Yi, Boyao Zhou, Yipengjing Sun, Hongyu Liu, Yinuo Wang, Lizhuang Ma
2026 J jnl
Highly-Efficient Large-Scale k-means with Individual Fairness.
Proc. VLDB Endow.
Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Yiming Wang, Yushuai Ji, Feiping Nie, Xiaodong Li, Zhiyong Peng
2026 A* conf
LoRA-E
WWW
Shengkun Zhu, Jinshan Zeng, Yiming Wang, Sheng Wang, Yuan Sun, Shangfeng Chen, Yuan Yao, Qiang Yang
2025 — conf
FedAPM: Federated Learning via ADMM with Partial Model Personalization.
KDD (2)
Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, Chuanhui Yang
2025 J jnl
FedAPM: Federated Learning via ADMM with Partial Model Personalization.
CoRR
Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, Chuanhui Yang
2025 — conf
Intelligent Evolution Optimization: Guided from Deep Learning to Large Language Model.
GECCO Companion
Hua Xu, Xiaodong Li, Yuan Sun, Huigen Ye
2025 J jnl
Introduction to the Special Issue on Large-Scale Optimization and Learning.
ACM Trans. Evol. Learn. Optim.
Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li, Christian Blum
2025 A* conf
Joinable Search Over Multi-Source Spatial Datasets: Overlap, Coverage, and Efficiency.
ICDE
Wenzhe Yang, Sheng Wang, Zhiyu Chen, Yuan Sun, Zhiyong Peng
2025 A* conf
On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable $k$-Means.
ICDE
Yushuai Ji, Zepeng Liu, Sheng Wang, Yuan Sun, Zhiyong Peng
2025 J jnl
PORTAL: Controllable Landscape Generator for Continuous Optimization-Part I: Framework.
CoRR
Danial Yazdani, Mai Peng, Delaram Yazdani, Shima F. Yazdi, Mohammad Nabi Omidvar, Yuan Sun, Trung Thanh Nguyen, Changhe Li, Xiaodong Li
2024 J jnl
A Unified Approach for Multi-granularity Search over Spatial Datasets.
CoRR
Wenzhe Yang, Sheng Wang, Shixun Huang, Yuyang Liao, Yuan Sun, Juliana Freire, Zhiyong Peng
2024 J jnl
A learned cost model for big data query processing.
Inf. Sci.
Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Bolong Zheng, Zhiyong Peng
2024 A* conf
Adaptive Stabilization Based on Machine Learning for Column Generation.
ICML
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
2024 J jnl
Adaptive Stabilization Based on Machine Learning for Column Generation.
CoRR
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang
2024 J jnl
Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty.
Int. J. Prod. Res.
Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li
2024 J jnl
Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Yu Guo, Yuan Sun, Zheng Wang, Feiping Nie, Fei Wang
2024 J jnl
Efficient k-means with Individual Fairness via Exponential Tilting.
CoRR
Shengkun Zhu, Jinshan Zeng, Yuan Sun, Sheng Wang, Xiaodong Li, Zhiyong Peng
2024 J jnl
Enhancing constraint programming via supervised learning for job shop scheduling.
Knowl. Based Syst.
Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin
2024 A conf
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams.
GECCO
Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon
2024 J jnl
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams.
CoRR
Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon
2024 A conf
Genetic-based Constraint Programming for Resource Constrained Job Scheduling.
GECCO
Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang
2024 J jnl
Genetic-based Constraint Programming for Resource Constrained Job Scheduling.
CoRR
Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang
2024 J jnl
Instance space analysis for the car sequencing problem.
Ann. Oper. Res.
Yuan Sun, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan
2024 A conf
Machine Learning-Enhanced Ant Colony Optimization for Column Generation.
GECCO
Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li
2024 J jnl
Machine Learning-Enhanced Ant Colony Optimization for Column Generation.
CoRR
Hongjie Xu, Yunzhuang Shen, Yuan Sun, Xiaodong Li
2024 Misc conf
Multi-View Subspace Clustering With Consensus Graph Contrastive Learning.
ICASSP
Jie Zhang, Yuan Sun, Yu Guo, Zheng Wang, Feiping Nie, Fei Wang
2024 J jnl
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness.
CoRR
Shengkun Zhu, Jinshan Zeng, Sheng Wang, Yuan Sun, Xiaodong Li, Yuan Yao, Zhiyong Peng
2024 J jnl
On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means.
CoRR
Yushuai Ji, Zepeng Liu, Sheng Wang, Yuan Sun, Zhiyong Peng
2023 J jnl
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling.
CoRR
Pivithuru Thejan Amarasinghe, Su Nguyen, Yuan Sun, Damminda Alahakoon
2023 J jnl
Adaptive solution prediction for combinatorial optimization.
Eur. J. Oper. Res.
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
2023 J jnl
Efficient Spatial Dataset Search over Multiple Data Sources.
CoRR
Wenzhe Yang, Sheng Wang, Yuan Sun, Zhiyu Chen, Zhiyong Peng
2023 J jnl
F3KM: Federated, Fair, and Fast k-means.
Proc. ACM Manag. Data
Shengkun Zhu, Quanqing Xu, Jinshan Zeng, Sheng Wang, Yuan Sun, Zhifeng Yang, Chuanhui Yang, Zhiyong Peng
2023 — conf
Large-Scale Optimization and Learning.
GECCO Companion
Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li
2023 A* conf
Learning to Generate Columns with Application to Vertex Coloring.
ICLR
Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner
2023 J jnl
Prerequisite-driven Fair Clustering on Heterogeneous Information Networks.
Proc. ACM Manag. Data
Juntao Zhang, Sheng Wang, Yuan Sun, Zhiyong Peng
2023 J jnl
Ranking constraint relaxations for mixed integer programs using a machine learning approach.
EURO J. Comput. Optim.
Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun
2023 J jnl
iComMa: Inverting 3D Gaussians Splatting for Camera Pose Estimation via Comparing and Matching.
CoRR
Yuan Sun, Xuan Wang, Yunfan Zhang, Jie Zhang, Caigui Jiang, Yu Guo, Fei Wang
2022 A* conf
A Resource-Aware Deep Cost Model for Big Data Query Processing.
ICDE
Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Zhiyong Peng
2022 J jnl
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling.
CoRR
Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li
2022 J jnl
Boosting ant colony optimization via solution prediction and machine learning.
Comput. Oper. Res.
Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley
2022 A* conf
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring.
AAAI
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
2022 J jnl
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling.
CoRR
Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin
2022 J jnl
Fast Dataset Search with Earth Mover's Distance.
Proc. VLDB Endow.
Wenzhe Yang, Sheng Wang, Yuan Sun, Zhiyong Peng
2022 A* conf
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.
NeurIPS
Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
2022 J jnl
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation.
CoRR
Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
2022 J jnl
Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data.
CoRR
Yuan Sun, Winton Nathan-Roberts, Tien-Dung Pham, Ellen Otte, Uwe Aickelin
2021 J jnl
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring.
CoRR
Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst
2021 J jnl
Generalization of machine learning for problem reduction: a case study on travelling salesman problems.
OR Spectr.
Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner
2021 B conf
Learning Primal Heuristics for Mixed Integer Programs.
IJCNN
Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li
2021 J jnl
Learning Primal Heuristics for Mixed Integer Programs.
CoRR
Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li
2021 — conf
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand.
SIGMOD Conference
Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao
2021 J jnl
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand.
CoRR
Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao
2021 J jnl
Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid.
Eur. J. Oper. Res.
Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun, Kalyanmoy Deb
2021 J jnl
Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuan Sun, Xiaodong Li, Andreas T. Ernst
2020 A conf
Automatic decomposition of mixed integer programs for lagrangian relaxation using a multiobjective approach.
GECCO
Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun
2020 J jnl
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning.
CoRR
Yuan Sun, Sheng Wang, Yunzhuang Shen, Xiaodong Li, Andreas T. Ernst, Michael Kirley
2020 J jnl
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems.
CoRR
Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner
2020 J jnl
Instance Space Analysis for the Car Sequencing Problem.
CoRR
Yuan Sun, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan
2020 J jnl
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection.
CoRR
Sheng Wang, Yuan Sun, Zhifeng Bao
2020 J jnl
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection.
Proc. VLDB Endow.
Sheng Wang, Yuan Sun, Zhifeng Bao
2020 A* conf
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection.
AAAI
Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan
2019 A conf
An improved merge search algorithm for the constrained pit problem in open-pit mining.
GECCO
Angus Kenny, Xiaodong Li, Andreas T. Ernst, Yuan Sun
2019 B conf
Decomposition for Large-scale Optimization Problems with Overlapping Components.
CEC
Yuan Sun, Xiaodong Li, Andreas T. Ernst, Mohammad Nabi Omidvar
2019 J jnl
ENVirT: inference of ecological characteristics of viruses from metagenomic data.
BMC Bioinform.
Duleepa Jayasundara, Damayanthi Herath, Damith A. Senanayake, Isaam Saeed, Cheng-Yu Yang, Yuan Sun, Bill C. Chang, Sen-Lin Tang, Saman K. Halgamuge
2018 J jnl
A Recursive Decomposition Method for Large Scale Continuous Optimization.
IEEE Trans. Evol. Comput.
Yuan Sun, Michael Kirley, Saman K. Halgamuge
2018 A conf
Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition.
GECCO
Yuan Sun, Mohammad Nabi Omidvar, Michael Kirley, Xiaodong Li
2018 A conf
Cooperative co-evolution with online optimizer selection for large-scale optimization.
GECCO
Yuan Sun, Michael Kirley, Xiaodong Li
2017 — conf
A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization.
ACALCI
Yuan Sun, Michael Kirley, Saman K. Halgamuge
2017 — —
On the analysis of interaction between decision variables.
Yuan Sun
2017 J jnl
Quantifying Variable Interactions in Continuous Optimization Problems.
IEEE Trans. Evol. Comput.
Yuan Sun, Michael Kirley, Saman K. Halgamuge
2015 J jnl
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges.
Inf. Sci.
Mario A. Muñoz, Yuan Sun, Michael Kirley, Saman K. Halgamuge
2015 A conf
Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions.
GECCO
Yuan Sun, Michael Kirley, Saman Kumara Halgamuge
2015 — conf
On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems.
GECCO (Companion)
Yuan Sun, Michael Kirley, Saman Kumara Halgamuge