Jianan Zhou

According to our database, Jianan Zhou authored at least 22 papers between 2022 and 2026.

Collaborative distances:

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

2026

Learning to Solve Compositional Geometry Routing Problems.

Mingfeng Fan, Jianan Zhou, Jiaqi Cheng, Yifeng Zhang, Jie Zhang, Guillaume Adrien Sartoretti

CoRR, May, 2026

Learning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty.

Tianjue Lin, Jianan Zhou, Jieyi Bi, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

CoRR, May, 2026

Enhancing Cross-Problem Vehicle Routing via Federated Learning.

Xiangchi Meng, Jianan Zhou, Jie Gao, Yifan Lu, Yaoxin Wu, Gonglin Yuan, Yaqing Hou

CoRR, April, 2026

PyVRP⁺: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems.

Manuj Malik, Jianan Zhou, Shashank Reddy Chirra, Zhiguang Cao

CoRR, April, 2026

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems.

Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma, Cathy Wu

CoRR, February, 2026

DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization.

Shengkai Chen, Zhiguang Cao, Jianan Zhou, Yaoxin Wu, Senthilnath Jayavelu, Zhuoyi Lin, Xiaoli Li, Shili Xiang

CoRR, January, 2026

2025

An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems.

Ni Zhang, Zhiguang Cao, Jianan Zhou, Cong Zhang, Yew-Soon Ong

CoRR, October, 2025

Learning to Optimize Capacity Planning in Semiconductor Manufacturing.

Philipp Andelfinger, Jieyi Bi, Qiuyu Zhu, Jianan Zhou, Bo Zhang, Feifei Zhang, Chew Wye Chan, Boon Ping Gan, Wentong Cai, Jie Zhang

CoRR, September, 2025

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems.

Shaodi Feng, Zhuoyi Lin, Jianan Zhou, Cong Zhang, Jingwen Li, Kuan-Wen Chen, Senthilnath Jayavelu, Yew-Soon Ong

CoRR, August, 2025

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation.

Mingfeng Fan, Jianan Zhou, Yifeng Zhang, Yaoxin Wu, Jinbiao Chen, Guillaume Adrien Sartoretti

CoRR, June, 2025

Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization.

Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Jie Zhang

CoRR, May, 2025

Graph neural networks for job shop scheduling problems: A survey.

Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, Wim Nuijten

Comput. Oper. Res., 2025

RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.

Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy.

Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee

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

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems.

Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning to Handle Complex Constraints for Vehicle Routing Problems.

Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Collaboration! Towards Robust Neural Methods for Routing Problems.

Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts.

Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Neural Airport Ground Handling.

Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang

IEEE Trans. Intell. Transp. Syst., December, 2023

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling.

Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen

IEEE Trans. Knowl. Data Eng., September, 2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems.

Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks.

Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022