Kun Mao

According to our database, Kun Mao authored at least 16 papers between 2009 and 2025.

Collaborative distances:

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

2025

SMARTAPS: Tool-augmented LLMs for Operations Management.

Timothy Tin Long Yu, Mahdi Mostajabdaveh, Jabo Serge Byusa, Rindra Ramamonjison, Giuseppe Carenini, Kun Mao, Zirui Zhou, Yong Zhang

CoRR, July, 2025

Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search.

Fei Liu, Qingfu Zhang, Xialiang Tong, Kun Mao, Mingxuan Yuan

CoRR, April, 2025

2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.

Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao

CoRR, 2024

2023

LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application.

Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

CoRR, 2022

Learning to Reformulate for Linear Programming.

Xijun Li, Qingyu Qu, Fangzhou Zhu, Jia Zeng, Mingxuan Yuan, Kun Mao, Jie Wang

CoRR, 2022

An Improved Reinforcement Learning Algorithm for Learning to Branch.

Qingyu Qu, Xijun Li, Yunfan Zhou, Jia Zeng, Mingxuan Yuan, Jie Wang, Jinhu Lv, Kexin Liu, Kun Mao

CoRR, 2022

2021

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2016

A Hybrid Fruit Fly Optimization Algorithm for the Realistic Hybrid Flowshop Rescheduling Problem in Steelmaking Systems.

Junqing Li, Quan-Ke Pan, Kun Mao

IEEE Trans Autom. Sci. Eng., 2016

2015

An Effective Subgradient Method for Scheduling a Steelmaking-Continuous Casting Process.

Kun Mao, Quan-Ke Pan, Tianyou Chai, Peter B. Luh

IEEE Trans Autom. Sci. Eng., 2015

A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems.

Junqing Li, Quan-Ke Pan, Kun Mao

Eng. Appl. Artif. Intell., 2015

2014

Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm.

Junqing Li, Quan-Ke Pan, Kun Mao, Ponnuthurai N. Suganthan

Knowl. Based Syst., 2014

A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process.

Kun Mao, Quan-Ke Pan, Xinfu Pang, Tianyou Chai

Eur. J. Oper. Res., 2014

2013

An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process.

Quan-Ke Pan, Ling Wang, Kun Mao, Jin-Hui Zhao, Min Zhang

IEEE Trans Autom. Sci. Eng., 2013

Lagrangian heuristic for scheduling a steelmaking-continuous casting process.

Kun Mao, Quan-Ke Pan, Mehmet Fatih Tasgetiren

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013

2009

Analysis and control of an SEIR epidemic system with nonlinear transmission rate.

Na Yi, Qingling Zhang, Kun Mao, Dongmei Yang, Qin Li

Math. Comput. Model., 2009