Xinshang Wang
9 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15)
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Research topics
Keywords
graph neural network
(3)
optimal solution
(2)
convergence rate
(2)
message passing
(2)
stochastic gradient descent
(2)
model architecture
(1)
universal approximation
(1)
mixed linear regression
(1)
importance sampling
(1)
convex optimization
(1)
gradient descent
(1)
variance reduction
(1)
primal-dual algorithm
(1)
complexity analysis
(1)
first-order method
(1)
branch and bound
(1)
quadratic program
(1)
weight matrix
(1)
mixed integer linear programming
(1)
dynamic regret
(1)
Papers
DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models
ICLR 2025
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
ICML 2025
Efficient Algorithms for Sum-Of-Minimum Optimization
ICML 2024
Rethinking the Capacity of Graph Neural Networks for Branching Strategy
NeurIPS 2024
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent
AISTATS 2023
On Representing Linear Programs by Graph Neural Networks
ICLR 2023
On Representing Mixed-Integer Linear Programs by Graph Neural Networks
ICLR 2023
A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments
AAAI 2021
The Lingering of Gradients: How to Reuse Gradients Over Time
NeurIPS 2018