Huigen Ye

According to our database, Huigen Ye authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HEQP: A Hypergraph Neural Network-Based Evolutionary Method for Large-Scale QCQPs.

Zhixiao Xiong, Huigen Ye, Hua Xu, Carlos A. Coello Coello

IEEE Trans. Cybern., May, 2026

Light-EvoOPT: A Lightweight Evolutionary Optimization Framework for Ultralarge-Scale Mixed Integer Linear Programs.

Huigen Ye, Hua Xu, Carlos A. Coello Coello

IEEE Trans. Evol. Comput., February, 2026

2025

HyP-ASO: A Hybrid Policy-based Adaptive Search Optimization Framework for Large-Scale Integer Linear Programs.

Ning Xu, Junkai Zhang, Yang Wu, Huigen Ye, Hua Xu, Huiling Xu, Yifan Zhang

CoRR, September, 2025

Code Retrieval for MILP Instance Generation.

Tianxing Yang, Huigen Ye, Hua Xu

CoRR, May, 2025

Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems.

Huigen Ye, Hua Xu, An Yan, Yaoyang Cheng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MILPBench: A Large-scale Benchmark Test Suite for Mixed Integer Linear Programming Problems.

Huigen Ye, Yaoyang Cheng, Hua Xu, Zhiguang Cao, Hanzhang Qin

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Intelligent Evolution Optimization: Guided from Deep Learning to Large Language Model.

Hua Xu, Xiaodong Li, Yuan Sun, Huigen Ye

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

NeuralQP: A General Hypergraph-based Optimization Framework for Large-scale QCQPs.

Zhixiao Xiong, Fangyu Zong, Huigen Ye, Hua Xu

CoRR, 2024

Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset.

Huigen Ye, Hua Xu, Hongyan Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Generate Scalable MILP Instances.

Tianxing Yang, Huigen Ye, Hua Xu

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming.

Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang

Proceedings of the International Conference on Machine Learning, 2023

Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract).

Huigen Ye, Hongyan Wang, Hua Xu, Chengming Wang, Yu Jiang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023