Luona Wei

According to our database, Luona Wei authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

Mitigating Overthinking in Large Reasoning Models via Difficulty-aware Reinforcement Learning.

Qian Wan, Ziao Xu, Luona Wei, Xiaoxuan Shen, Jianwen Sun

CoRR, January, 2026

Continual relation extraction model based on memory sample selection and historical feature refinement.

Zhanjun Zhang, Qian Wan, Shan Zhao, Mingrui Hao, Sijing Chen, Luona Wei

Appl. Soft Comput., 2026

Solving the time-dependent agile earth observation satellite scheduling problem using adaptive large neighborhood search with reinforcement learning controller.

Bohua Li, Ming Chen, Luona Wei, Yuning Chen, Yingwu Chen

Appl. Soft Comput., 2026

2025

Multi-objective neural policy approach for agile earth satellite scheduling problem considering image quality.

Luona Wei, Yongqiang Cui, Ming Chen, Qian Wan, Lining Xing

Swarm Evol. Comput., 2025

Multi-objective math problem generation using large language model through an adaptive multi-level retrieval augmentation framework.

Jianwen Sun, Wangzi Shi, Xiaoxuan Shen, Shengyingjie Liu, Luona Wei, Qian Wan

Inf. Fusion, 2025

A neural priority model for agile earth observation satellite scheduling using deep reinforcement learning.

Ming Chen, Luona Wei, Jie Chun, Lei He, Shang Xiang, Lining Xing, Yingwu Chen

Appl. Soft Comput., 2025

Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework.

Qian Wan, Wangzi Shi, Jintian Feng, Shengyingjie Liu, Luona Wei, Zhicheng Dai, Jianwen Sun

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Knowledge-transfer based genetic programming algorithm for multi-objective dynamic agile earth observation satellite scheduling problem.

Luona Wei, Ming Chen, Lining Xing, Qian Wan, Yanjie Song, Yuning Chen, Yingwu Chen

Swarm Evol. Comput., 2024

Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way.

Ming Chen, Jie Chun, Shang Xiang, Luona Wei, Yonghao Du, Qian Wan, Yuning Chen, Yingwu Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Document-level relation extraction with hierarchical dependency tree and bridge path.

Qian Wan, Shangheng Du, Yaqi Liu, Jing Fang, Luona Wei, Sannyuya Liu

Knowl. Based Syst., October, 2023

RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem.

Yanjie Song, Luona Wei, Qing Yang, Jian Wu, Lining Xing, Ying-Wu Chen

Swarm Evol. Comput., March, 2023

A Span-based Multi-Modal Attention Network for joint entity-relation extraction.

Qian Wan, Luona Wei, Shan Zhao, Jie Liu

Knowl. Based Syst., February, 2023

2022

RL-EA: A Reinforcement Learning-Based Evolutionary Algorithm Framework for Electromagnetic Detection Satellite Scheduling Problem.

Yanjie Song, Luona Wei, Qing Yang, Jian Wu, Lining Xing, Yingwu Chen

CoRR, 2022

2021

A region-based hypergraph network for joint entity-relation extraction.

Qian Wan, Luona Wei, Xinhai Chen, Jie Liu

Knowl. Based Syst., 2021

A Multi-objective Memetic Approach for Time-dependent Agile Earth Observation Satellite Scheduling Problem.

Luona Wei, Lining Xing, Qian Wan, Yanjie Song, Yingwu Chen

Comput. Ind. Eng., 2021

Deep reinforcement learning and parameter transfer based approach for the multi-objective agile earth observation satellite scheduling problem.

Luona Wei, Yuning Chen, Ming Chen, Yingwu Chen

Appl. Soft Comput., 2021

A Hybrid Multi-objective Coevolutionary Approach for the Multi-user Agile Earth Observation Satellite Scheduling Problem.

Luona Wei, Yanjie Song, Lining Xing, Ming Chen, Yingwu Chen

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021

Solving Satellite Range Scheduling Problem with Learning-Based Artificial Bee Colony Algorithm.

Yanjie Song, Luona Wei, Lining Xing, Yi Fang, Zhongshan Zhang, Yingwu Chen

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021

Modeling Full Information with Graph Network for Joint Entity-Relation Extraction.

Qian Wan, Luona Wei, Xinhai Chen, Jie Liu

Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021

2020

Heuristic algorithms based on deep reinforcement learning for quadratic unconstrained binary optimization.

Ming Chen, Yuning Chen, Yonghao Du, Luona Wei, Yingwu Chen

Knowl. Based Syst., 2020