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ORCIDKun Mao 0001
Person information
- affiliation: Huawei Cloud Computing Technologies, Shenzhen, China
- affiliation (PhD 2014): Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
Other persons with the same name
- Kun Mao — disambiguation page
- Kun Mao 0002
![[0000-0002-3900-133X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3900-133X")
— Quzhou College of Technology, Faculty of Information Engineering, Quzhou, China
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2020 – today
- 2025
[i6]Fei Liu, Qingfu Zhang, Xialiang Tong, Kun Mao, Mingxuan Yuan:
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search. CoRR abs/2504.19636 (2025)- [i5]Timothy Tin Long Yu, Mahdi Mostajabdaveh, Jabo Serge Byusa, Rindra Ramamonjison, Giuseppe Carenini, Kun Mao, Zirui Zhou, Yong Zhang:
SMARTAPS: Tool-augmented LLMs for Operations Management. CoRR abs/2507.17927 (2025) - 2024
- [i4]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:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - 2023
- [c3]Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang:
LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application. ACL (demo) 2023: 471-478 - 2022
- [i3]Qingyu Qu, Xijun Li, Yunfan Zhou, Jia Zeng, Mingxuan Yuan, Jie Wang, Jinhu Lv, Kexin Liu, Kun Mao:
An Improved Reinforcement Learning Algorithm for Learning to Branch. CoRR abs/2201.06213 (2022) - [i2]Xijun Li, Qingyu Qu, Fangzhou Zhu, Jia Zeng, Mingxuan Yuan, Kun Mao, Jie Wang:
Learning to Reformulate for Linear Programming. CoRR abs/2201.06216 (2022) - [i1]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:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR abs/2203.02433 (2022) - 2021
- [c2]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:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 2021: 220-231
2010 – 2019
- 2016
- [j7]Junqing Li, Quan-Ke Pan, Kun Mao:
A Hybrid Fruit Fly Optimization Algorithm for the Realistic Hybrid Flowshop Rescheduling Problem in Steelmaking Systems. IEEE Trans Autom. Sci. Eng. 13(2): 932-949 (2016) - 2015
- [j6]Junqing Li, Quan-Ke Pan, Kun Mao:
A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems. Eng. Appl. Artif. Intell. 37: 279-292 (2015) - [j5]Kun Mao, Quan-Ke Pan, Tianyou Chai, Peter B. Luh:
An Effective Subgradient Method for Scheduling a Steelmaking-Continuous Casting Process. IEEE Trans Autom. Sci. Eng. 12(3): 1140-1152 (2015) - 2014
- [j4]Kun Mao, Quan-Ke Pan, Xinfu Pang, Tianyou Chai:
A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process. Eur. J. Oper. Res. 236(1): 51-60 (2014) - [j3]Junqing Li, Quan-Ke Pan, Kun Mao, Ponnuthurai N. Suganthan:
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm. Knowl. Based Syst. 72: 28-36 (2014) - 2013
- [j2]Quan-Ke Pan, Ling Wang, Kun Mao, Jin-Hui Zhao, Min Zhang:
An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process. IEEE Trans Autom. Sci. Eng. 10(2): 307-322 (2013) - [c1]Kun Mao, Quan-Ke Pan, Mehmet Fatih Tasgetiren:
Lagrangian heuristic for scheduling a steelmaking-continuous casting process. CISched 2013: 68-74
2000 – 2009
- 2009
- [j1]Na Yi, Qingling Zhang, Kun Mao, Dongmei Yang, Qin Li:
Analysis and control of an SEIR epidemic system with nonlinear transmission rate. Math. Comput. Model. 50(9-10): 1498-1513 (2009)
Coauthor Index
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