activity
20222026
most citedAn Intensity and Phase Stacked Analysis of Phase-OTDR System using Deep Transfer Learning and Recurrent Neural Networks

27 citations · 28 across the 5 of their papers we have counts for

collaborators

6 papers

math.CO2026

On Lattice Tilings by Symmetric Limited Magnitude Error Balls: Q-polynomials and Ideal Characterization

Ang Xiao

In this paper, we study the lattice tilings of by the symmetric limited magnitude error balls , which play a crucial role in flash memory appli…

cs.CL2025

Prototype-Based Dynamic Steering for Large Language Models

Ceyhun Efe Kayan, Li Zhang

Despite impressive breadth, LLMs still rely on explicit reasoning instructions or static, one-fits-all steering methods, leaving a gap for adaptive, instruction-free reasoning ampl…

cs.AR2025

GPU-Accelerated Simulated Oscillator Ising/Potts Machine Solving Combinatorial Optimization Problems

Yilmaz Ege Gonul, Ceyhun Efe Kayan, Ilknur Mustafazade +2

Oscillator-based Ising machines (OIMs) and oscillator-based Potts machines (OPMs) have emerged as promising hardware accelerators for solving NP-hard combinatorial optimization pro…

cs.CL2025

A Reality Check of Language Models as Formalizers on Constraint Satisfaction Problems

Rikhil Amonkar, Ceyhun Efe Kayan, Qimei Lai +2

Recent work shows superior performance when using large language models (LLMs) as formalizers instead of as end-to-end solvers for symbolic reasoning problems. Given the problem de…

eess.IV2023★ 1 cited

Deep reproductive feature generation framework for the diagnosis of COVID-19 and viral pneumonia using chest X-ray images

Ceyhun Efe Kayan, Talha Enes Koksal, Arda Sevinc +1

The rapid and accurate detection of COVID-19 cases is critical for timely treatment and preventing the spread of the disease. In this study, a two-stage feature extraction framewor…

cs.LG2022★ 27 cited

An Intensity and Phase Stacked Analysis of Phase-OTDR System using Deep Transfer Learning and Recurrent Neural Networks

Ceyhun Efe Kayan, Kivilcim Yuksel Aldogan, Abdurrahman Gumus

Distributed acoustic sensors (DAS) are effective apparatus which are widely used in many application areas for recording signals of various events with very high spatial resolution…