Yufei Kuang
10 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π€ Dynamic Duo (10)
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Triple Crown
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Grand Slam
ποΈ
Keyword Collector
(53)
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Renaissance Researcher
(5)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Methods
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Core Methods
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Keywords
mixed integer linear programming
(2)
combinatorial optimization
(2)
reinforcement learning
(2)
representation learning
(2)
robot control
(1)
domain generalization
(1)
policy optimization
(1)
entropy regularization
(1)
time series
(1)
branch and bound
(1)
transformer
(1)
mixed integer programming
(1)
fourier transform
(1)
reward prediction
(1)
bipartite graph
(1)
continuous action space
(1)
actor-critic algorithm
(1)
sequence-to-sequence learning
(1)
knowledge distillation
(1)
sample efficiency
(1)
Papers
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
ICLR 2025
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
NeurIPS 2024
Neural Krylov Iteration for Accelerating Linear System Solving
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
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
ICLR 2023
Learning robust representation for reinforcement learning with distractions by reward sequence prediction
UAI 2023
State Sequences Prediction via Fourier Transform for Representation Learning
NeurIPS 2023
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
AAAI 2022
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
NeurIPS 2020