Xijun Li

Orcid: 0000-0002-9013-1180

According to our database¹, Xijun Li authored at least 36 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.

[BibT_eX]

[DOI]

CoRR, 2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.

[BibT_eX]

[DOI]

CoRR, 2024

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design.

[BibT_eX]

[DOI]

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

Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph.

[BibT_eX]

[DOI]

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

L2P-MIP: Learning to Presolve for Mixed Integer Programming.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Machine Learning Methods in Solving the Boolean Satisfiability Problem.

[BibT_eX]

[DOI]

Mach. Intell. Res., October, 2023

Satellite Observation and Data-Transmission Scheduling Using Imitation Learning Based on Mixed Integer Linear Programming.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., April, 2023

A survey for solving mixed integer programming via machine learning.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

PASCAL: A Learning-aided Cooperative Bandwidth Control Policy for Hierarchical Storage Systems.

[BibT_eX]

[DOI]

Xijun Li

Yunfan Zhou

Ji Zhang

CoRR, 2023

A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SGDP: A Stream-Graph Neural Network Based Data Prefetcher.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Layout Decomposition via Boolean Satisfiability.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Offline Reinforcement Learning with Adaptive Behavior Regularization.

[BibT_eX]

[DOI]

Yunfan Zhou

Xijun Li

Qingyu Qu

CoRR, 2022

LQoCo: Learning to Optimize Cache Capacity Overloading in Storage Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Machine Learning Methods in Solving the Boolean Satisfiability Problem.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey for Solving Mixed Integer Programming via Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Yordle: An Efficient Imitation Learning for Branch and Bound.

[BibT_eX]

[DOI]

Qingyu Qu

Xijun Li

Yunfan Zhou

CoRR, 2022

Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Reformulate for Linear Programming.

[BibT_eX]

[DOI]

CoRR, 2022

An Improved Reinforcement Learning Algorithm for Learning to Branch.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Optimize DAG Scheduling in Heterogeneous Environment.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

L-QoCo: learning to optimize cache capacity overloading in storage systems.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Learning to Optimize DAG Scheduling in Heterogeneous Environment.

[BibT_eX]

[DOI]

CoRR, 2021

Learning-Aided Heuristics Design for Storage System.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2018

A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

A First Look at Information Entropy-Based Data Pricing.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Xijun Li

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