Publications

Published

* Equal Contribution; $\dagger$ Corresponding Author.

• 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
  31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 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
  42nd International Conference on Machine Learning (ICML), 2025 🇨🇦
      

• Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
  Ziwei Huang*, Jianan Zhou*, Zhiguang Cao, Yixin Xu
  13th International Conference on Learning Representations (ICLR), 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
  Computers & Operations Research (COR), 2025
      

• Learning to Handle Complex Constraints for Vehicle Routing Problems
  Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
  38th Conference on Neural Information Processing Systems (NeurIPS), 2024 🇨🇦
          

• Collaboration! Towards Robust Neural Methods for Routing Problems
  Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
  38th Conference on Neural Information Processing Systems (NeurIPS), 2024 🇨🇦
          

• MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
  Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Xu Chi
  41st International Conference on Machine Learning (ICML), 2024 🇦🇹
          

• Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
  Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
  40th International Conference on Machine Learning (ICML), 2023 🇺🇸
          

• Neural Airport Ground Handling
  Yaoxin Wu*, Jianan Zhou*, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
  IEEE Transactions on Intelligent Transportation Systems (TITS), 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 Transactions on Knowledge and Data Engineering (TKDE), 2023
          

• 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
  36th Conference on Neural Information Processing Systems (NeurIPS), 2022 🇺🇸
              

Under Review

• Double-Blind
  Mingfeng Fan, Jianan Zhou, Yifeng Zhang, Yaoxin Wu, Jinbiao Chen, Guillaume Adrien Sartoretti

• Double-Blind
  Manuj Malik, Jianan Zhou, Zhiguang Cao, Yan Jin

• Double-Blind
  Jianan Zhou*, Jieyi Bi*, Sirui Li*, Yaoxin Wu, Yingqian Zhang, Jie Zhang, Yining Ma, Cathy Wu
      

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

• Double-Blind
  Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Jie Zhang
  

• Double-Blind
  Kechen Ouyang, Jianan Zhou, Yaoxin Wu, David Z.W. Wang

• Double-Blind
  Shaodi Feng, Yaoxin Wu, Jianan Zhou, Cong Zhang, Zhiguang Cao, Kuan-Wen Chen, Jayavelu Senthilnath, Zhuoyi Lin