Xijun Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 41

Top Topics

Mixed Integer Programming

Reinforcement Learning

Boolean Satisfiability

Top Venues

Publications

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)
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)
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 (2024)
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)
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 (2024)
Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan
SGDP: A Stream-Graph Neural Network Based Data Prefetcher. CoRR (2023)
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 (2023)
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)
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)
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 (2023)
Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. CoRR (2023)
Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan
A survey for solving mixed integer programming via machine learning. Neurocomputing 519 (2023)
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 (2023)
Haoyang Liu, Yufei Kuang, Jie Wang, Xijun Li, Yongdong Zhang, Feng Wu
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation. CoRR (2023)
Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD (2023)
Xijun Li, Yunfan Zhou, Ji Zhang
PASCAL: A Learning-aided Cooperative Bandwidth Control Policy for Hierarchical Storage Systems. CoRR (2023)
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 (2023)
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)
Qingyu Qu, Kexin Liu, Xijun Li, Yunfan Zhou, Jinhu Lü
Satellite Observation and Data-Transmission Scheduling Using Imitation Learning Based on Mixed Integer Linear Programming. IEEE Trans. Aerosp. Electron. Syst. 59 (2) (2023)
Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu
Layout Decomposition via Boolean Satisfiability. DAC (2023)
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)
Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan
Machine Learning Methods in Solving the Boolean Satisfiability Problem. Mach. Intell. Res. 20 (5) (2023)
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 (2022)
Yunfan Zhou, Xijun Li, Jinhong Luo, Mingxuan Yuan, Jia Zeng, Jianguo Yao
Learning to Optimize DAG Scheduling in Heterogeneous Environment. MDM (2022)
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 (2022)
Xijun Li, Qingyu Qu, Fangzhou Zhu, Jia Zeng, Mingxuan Yuan, Kun Mao, Jie Wang
Learning to Reformulate for Linear Programming. CoRR (2022)
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)
Qingyu Qu, Xijun Li, Yunfan Zhou
Yordle: An Efficient Imitation Learning for Branch and Bound. CoRR (2022)
Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. 52 (8) (2022)
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 (2022)
Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan
A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR (2022)
Wenxuan Guo, Junchi Yan, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin
Machine Learning Methods in Solving the Boolean Satisfiability Problem. CoRR (2022)
Yunfan Zhou, Xijun Li, Qingyu Qu
Offline Reinforcement Learning with Adaptive Behavior Regularization. CoRR (2022)
Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng
Learning-Aided Heuristics Design for Storage System. CoRR (2021)
Jinhong Luo, Xijun Li, Mingxuan Yuan, Jianguo Yao, Jia Zeng
Learning to Optimize DAG Scheduling in Heterogeneous Environment. CoRR (2021)
Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng
Learning-Aided Heuristics Design for Storage System. SIGMOD Conference (2021)
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 (2021)
Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lü, Jia Zeng
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. ICDE (2021)
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)
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)
Xijun Li, Jianguo Yao, Xue Liu, Haibing Guan
A First Look at Information Entropy-Based Data Pricing. ICDCS (2017)