activity
20222025
most citedCombining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem

8 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy

Yong Liang Goh, Zhiguang Cao, Yining Ma +3

Recent advances toward foundation models for routing problems have shown great potential of a unified deep model for various VRP variants. However, they overlook the complex real-w…

cs.LG2024★ 7 cited

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios

Yong Liang Goh, Zhiguang Cao, Yining Ma +3

Existing neural constructive solvers for routing problems have predominantly employed transformer architectures, conceptualizing the route construction as a set-to-sequence learnin…

cs.LG2024★ 1 cited

Differentiable Cluster Graph Neural Network

Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng +3

Graph Neural Networks often struggle with long-range information propagation and in the presence of heterophilous neighborhoods. We address both challenges with a unified framework…

cs.CV2024★ 1 cited

Constrained Layout Generation with Factor Graphs

Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng +4

This paper addresses the challenge of object-centric layout generation under spatial constraints, seen in multiple domains including floorplan design process. The design process ty…

cs.LG2022★ 8 cited

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem

Yong Liang Goh, Wee Sun Lee, Xavier Bresson +2

The traveling salesman problem is a fundamental combinatorial optimization problem with strong exact algorithms. However, as problems scale up, these exact algorithms fail to provi…