| A survey for solving mixed integer programming via machine learning J Zhang, C Liu, X Li, HL Zhen, M Yuan, Y Li, J Yan Neurocomputing 519, 205-217, 2023 | 53 | 2023 |
| Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning Z Wang, H Zhen, J Deng, X Li, Q Zhang, M Yuan, J Zeng IEEE Transactions on Cybernetics, 2021 | 43 | 2021 |
| Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems X Li, W Luo, M Yuan, J Wang, J Lu, J Wang, J Lv, J Zeng IEEE 37th International Conference on Data Engineering (ICDE), 2021 | 35 | 2021 |
| Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model X Li*, Z Wang*, J Wang, Y Kuang, M Yuan, J Zeng, Y Zhang, F Wu International Conference on Learning Representations, 2023 | 32* | 2023 |
| A data-driven three-layer algorithm for split delivery vehicle routing problem with 3D container loading constraint X Li, M Yuan, D Chen, J Yao, J Zeng Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 26 | 2018 |
| An Improved Reinforcement Learning Algorithm for Learning to Branch Q Qu, X Li*, Y Zhou, J Zeng, M Yuan, J Wang, J Lv, K Liu, K Mao arXiv preprint arXiv:2201.06213, 2022 | 23 | 2022 |
| Machine learning methods in solving the boolean satisfiability problem W Guo, HL Zhen, X Li, W Luo, M Yuan, Y Jin, J Yan Machine Intelligence Research, 1-16, 2023 | 22 | 2023 |
| Learning to Optimize DAG Scheduling in Heterogeneous Environment X Li*, Y Zhou*, J Luo, M Yuan, J Yao, J Zeng 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 137-146, 2022 | 21 | 2022 |
| A first look at information entropy-based data pricing X Li, J Yao, X Liu, H Guan 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 20 | 2017 |
| Satellite Observation and Data-Transmission Scheduling using Imitation Learning based on Mixed Integer Linear Programming Q Qu, K Liu, X Li, Y Zhou, J Lu IEEE Transactions on Aerospace and Electronic Systems, 1-25, 2022 | 15 | 2022 |
| HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline Y Li, X Chen, W Guo, X Li, W Luo, J Huang, HL Zhen, M Yuan, J Yan Proceedings of the 29th ACM SIGKDD International Conference on Knowledge …, 2023 | 14 | 2023 |
| ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs H Lu, Z Li, R Wang, Q Ren, X Li, mingxuan Yuan, J Zeng, X Yang, J Yan International Conference on Learning Representations, 2023 | 14 | 2023 |
| A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability Z Geng, X Li, J Wang, X Li, Y Zhang, F Wu Thirty-seventh Conference on Neural Information Processing Systems (Spotlight), 2023 | 11 | 2023 |
| Accelerating Linear Programming Solving by Exploiting the Performance Variability via Reinforcement Learning X Li, Q Qu, F Zhu, J Zeng, M Yuan, J Wang AAAI 2023 workshop on AI to Accelerate Science and Engineering, 1-11, 2023 | 11* | 2023 |
| Introduction to the dynamic pickup and delivery problem benchmark--ICAPS 2021 competition J Hao, J Lu, X Li, X Tong, X Xiang, M Yuan, HH Zhuo arXiv preprint arXiv:2202.01256, 2022 | 9 | 2022 |
| LQoCo: Learning to Optimize Cache Capacity Overloading in Storage Systems J Zhang, X Li*, X Zhou, M Yuan, Z Cheng, K Huang, Y Li DAC '22: Proceedings of the 59th ACM/IEEE Design Automation Conference, 379–384, 2022 | 6 | 2022 |
| Accelerate the optimization of large-scale manufacturing planning using game theory HL Zhen, Z Wang, X Li, Q Zhang, M Yuan, J Zeng Complex & Intelligent Systems 8 (4), 2719-2730, 2022 | 5 | 2022 |
| Machine learning insides optverse ai solver: Design principles and applications X Li, F Zhu, HL Zhen, W Luo, M Lu, Y Huang, Z Fan, Z Zhou, Y Kuang, ... arXiv preprint arXiv:2401.05960, 2024 | 3 | 2024 |
| Promoting generalization for exact solvers via adversarial instance augmentation H Liu, Y Kuang, J Wang, X Li, Y Zhang, F Wu arXiv preprint arXiv:2310.14161, 2023 | 3 | 2023 |
| Accelerate presolve in large-scale linear programming via reinforcement learning Y Kuang, X Li, J Wang, F Zhu, M Lu, Z Wang, J Zeng, H Li, Y Zhang, F Wu arXiv preprint arXiv:2310.11845, 2023 | 3 | 2023 |
Jie Wang,Professor at University of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
