Xijun Li
10 papers · 2023–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19) π Triple Crown π Century Club Β· Bronze
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Mathematics & Optimization
(4)
Core AI
(4)
Learning Types
(4)
Optimization
(4)
Application Areas
(3)
Models
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Keywords
combinatorial optimization
(5)
mixed integer linear programming
(3)
mixed integer programming
(2)
branch and bound
(2)
instance generation
(2)
neural network
(2)
graph representation
(1)
transformer
(1)
reinforcement learning
(1)
integer linear programming
(1)
adversarial attack
(1)
generative model
(1)
bipartite graph
(1)
sequence-to-sequence learning
(1)
cut selection
(1)
supervised learning
(1)
uncertainty estimation
(1)
differentiable optimization
(1)
neural solver
(1)
variational autoencoder
(1)
Papers
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
ICLR 2025
Differentiable Integer Linear Programming
ICLR 2025
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
ICML 2024
L2P-MIP: Learning to Presolve for Mixed Integer Programming
ICLR 2024
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
NeurIPS 2024
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
ICLR 2024
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
ICML 2024
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
NeurIPS 2023
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
ICLR 2023
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
ICLR 2023