Yufei Kuang
10 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (12)
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Conference Polyglot
(5)
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Academic Marathon
(5)
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Renaissance Researcher
(6)
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Triple Crown
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Grand Slam
π€
Dynamic Duo
(10)
π
Century Club
(10)
Conferences
NIPS (4)
ICLR (3)
AAAI (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
representation learning
(2)
deep reinforcement learning
(1)
reinforcement learning
(1)
sample efficiency
(1)
policy optimization
(1)
domain generalization
(1)
time series
(1)
robot control
(1)
fourier transform
(1)
reward prediction
(1)
continuous action space
(1)
actor-critic algorithm
(1)
entropy regularization
(1)
transition dynamics
(1)
instance generation
(1)
neural operator
(1)
mixed-integer linear programming
(1)
mixed-integer programming
(1)
robust policy
(1)
model-free learning
(1)
Papers
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
ICLR 2025
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
NIPS 2024
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
ICLR 2024
Neural Krylov Iteration for Accelerating Linear System Solving
NIPS 2024
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
ICML 2024
Learning robust representation for reinforcement learning with distractions by reward sequence prediction
UAI 2023
State Sequences Prediction via Fourier Transform for Representation Learning
NIPS 2023
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
ICLR 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
NIPS 2020