activity
20222025
most citedA Branch-and-Price Approach to a Variant of the Cognitive Radio Resource Allocation Problem

10 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

Interpretable and Adaptive Node Classification on Heterophilic Graphs via Combinatorial Scoring and Hybrid Learning

Soroush Vahidi

Graph neural networks (GNNs) achieve strong performance on homophilic graphs but often struggle under heterophily, where adjacent nodes frequently belong to different classes. We p…

cs.AI2025

Feedforward Ordering in Neural Connectomes via Feedback Arc Minimization

Soroush Vahidi

We present a suite of scalable algorithms for minimizing feedback arcs in large-scale weighted directed graphs, with the goal of revealing biologically meaningful feedforward struc…

cs.IR2024

Minimum Weighted Feedback Arc Sets for Ranking from Pairwise Comparisons

Soroush Vahidi, Ioannis Koutis

The Minimum Weighted Feedback Arc Set (MWFAS) problem is closely related to the task of deriving a global ranking from pairwise comparisons. Recent work by He et al. (ICML 2022) ad…

cs.DC2023★ 1 cited

Parallel Longest Common SubSequence Analysis In Chapel

Soroush Vahidi, Baruch Schieber, Zhihui Du +1

One of the most critical problems in the field of string algorithms is the longest common subsequence problem (LCS). The problem is NP-hard for an arbitrary number of strings but c…

cs.DS2022★ 1 cited

Interweaving Real-Time Jobs with Energy Harvesting to Maximize Throughput

Baruch Schieber, Bhargav Samineni, Soroush Vahidi

Motivated by baterryless IoT devices, we consider the following scheduling problem. The input includes unit time jobs , where each job …

cs.DS2022★ 10 cited

A Branch-and-Price Approach to a Variant of the Cognitive Radio Resource Allocation Problem

Hossein Falsafain, Mohammad Reza Heidarpour, Soroush Vahidi

Radio-frequency portion of the electromagnetic spectrum is a scarce resource. Cognitive radio technology has emerged as a promising solution to overcome the spectrum scarcity bottl…