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Xijun Li
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2020 – today
- 2025
- [j6]Qi Deng, Yuan Liu
, Shengxiang Yang
A repulsive-distance-based maximum diversity selection algorithm for multimodal multiobjective optimization. Appl. Soft Comput. 169: 112516 (2025) - 2024
- [j5]Jie Wang
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9697-9713 (2024) - [c18]Kecheng Huang, Xijun Li, Mingxuan Yuan, Ji Zhang, Zili Shao:
Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems. ICDE 2024: 4002-4015 - [c17]Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu:
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. ICLR 2024 - [c16]Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan:
L2P-MIP: Learning to Presolve for Mixed Integer Programming. ICLR 2024 - [c15]Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu:
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. ICML 2024 - [c14]Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. ICML 2024 - [i20]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) - [i19]Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. CoRR abs/2404.12638 (2024) - [i18]Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Bin Li, Yongdong Zhang, Feng Wu:
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition. CoRR abs/2410.22806 (2024) - 2023
- [j4]Wenxuan Guo
Machine Learning Methods in Solving the Boolean Satisfiability Problem. Mach. Intell. Res. 20(5): 640-655 (2023) - [j3]Jiayi Zhang, Chang Liu
A survey for solving mixed integer programming via machine learning. Neurocomputing 519: 205-217 (2023) - [j2]Qingyu Qu, Kexin Liu
Satellite Observation and Data-Transmission Scheduling Using Imitation Learning Based on Mixed Integer Linear Programming. IEEE Trans. Aerosp. Electron. Syst. 59(2): 1989-2001 (2023) - [c13]Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu:
Layout Decomposition via Boolean Satisfiability. DAC 2023: 1-6 - [c12]Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan:
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR 2023 - [c11]Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. ICLR 2023 - [c10]Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan:
SGDP: A Stream-Graph Neural Network Based Data Prefetcher. IJCNN 2023: 1-8 - [c9]Yang Li
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD 2023: 4414-4425 - [c8]Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu:
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability. NeurIPS 2023 - [i17]Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. CoRR abs/2302.00244 (2023) - [i16]Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan:
SGDP: A Stream-Graph Neural Network Based Data Prefetcher. CoRR abs/2304.03864 (2023) - [i15]Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. CoRR abs/2309.03208 (2023) - [i14]Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu:
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability. CoRR abs/2310.02807 (2023) - [i13]Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu:
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning. CoRR abs/2310.11845 (2023) - [i12]Haoyang Liu, Yufei Kuang, Jie Wang, Xijun Li, Yongdong Zhang, Feng Wu:
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation. CoRR abs/2310.14161 (2023) - 2022
- [j1]Zhenkun Wang
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. 52(8): 8326-8339 (2022) - [c7]Ji Zhang, Xijun Li, Xiyao Zhou, Mingxuan Yuan, Zhuo Cheng, Keji Huang, Yifan Li:
L-QoCo: learning to optimize cache capacity overloading in storage systems. DAC 2022: 379-384 - [c6]Yunfan Zhou, Xijun Li, Jinhong Luo, Mingxuan Yuan, Jia Zeng, Jianguo Yao:
Learning to Optimize DAG Scheduling in Heterogeneous Environment. MDM 2022: 137-146 - [i11]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) - [i10]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) - [i9]Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo:
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256 (2022) - [i8]Qingyu Qu, Xijun Li, Yunfan Zhou:
Yordle: An Efficient Imitation Learning for Branch and Bound. CoRR abs/2202.01896 (2022) - [i7]Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan:
A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR abs/2203.02878 (2022) - [i6]Wenxuan Guo, Junchi Yan, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin:
Machine Learning Methods in Solving the Boolean Satisfiability Problem. CoRR abs/2203.04755 (2022) - [i5]Ji Zhang, Xijun Li, Xiyao Zhou, Mingxuan Yuan, Zhuo Cheng, Keji Huang, Yifan Li:
LQoCo: Learning to Optimize Cache Capacity Overloading in Storage Systems. CoRR abs/2203.13678 (2022) - [i4]Yunfan Zhou, Xijun Li, Qingyu Qu:
Offline Reinforcement Learning with Adaptive Behavior Regularization. CoRR abs/2211.08251 (2022) - 2021
- [c5]Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lü
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. ICDE 2021: 2511-2522 - [c4]Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng:
Learning-Aided Heuristics Design for Storage System. SIGMOD Conference 2021: 2597-2601 - [i3]Jinhong Luo, Xijun Li, Mingxuan Yuan, Jianguo Yao, Jia Zeng:
Learning to Optimize DAG Scheduling in Heterogeneous Environment. CoRR abs/2103.06980 (2021) - [i2]Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lu, Jia Zeng:
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. CoRR abs/2105.12899 (2021) - [i1]Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng:
Learning-Aided Heuristics Design for Storage System. CoRR abs/2106.07288 (2021)
2010 – 2019
- 2018
- [c3]Xijun Li, Jianguo Yao, Mingxuan Yuan, Jia Zeng:
A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching. CIKM 2018: 2273-2281 - [c2]Xijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, Jia Zeng:
A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint. KDD 2018: 528-536 - 2017
- [c1]Xijun Li, Jianguo Yao, Xue Liu, Haibing Guan:
A First Look at Information Entropy-Based Data Pricing. ICDCS 2017: 2053-2060
Coauthor Index
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last updated on 2025-01-09 19:35 CET by the dblp team
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