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DEFT: Data-Efficient Frequency-domain Top-k Sampling via Inverse Discrete Fourier Transform for Spatiotemporal Dynamical Systems Modeling
Aug 11, 2026Hengbo Xiao, Jiale Liu, Jiahao Song +1Frequency Domain Partial Differential Equations
Peking University
A Time-Frequency Dual-Domain Multi-Scale Convolutional Neural Network for Bearing Fault Diagnosis under Strong Noise
Aug 10, 2026Yanxi Ding, Tingyue JiaFault Diagnosis Frequency Domain
School of Engineering China University of Petroleum-Beijing at Karamay Campus Karamay, China
Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery
Aug 6, 2026Victor Gialis, Maxime Metz, David Esteve +1Fault Diagnosis Self-Supervised Learning
LASPI, Univ. Jean Monnet, Roanne, 42300, France · Pellenc ST, Applied Research Group, Pertuis, 84120, France · LabCom Aioly, Artificial Intelligence and Optics Laboratory, Montpellier, 34196, France +1
Low-light Image Enhancement via Multi-scale Attention combined with Fourier Transform
Jul 27, 2026Wenbin Du, Jian Long, Zhu CaoLow-Light Image Enhancement Low-Light Images
aKey Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China · bCollege of Electronics and Information Engineering, Tongji University, Shanghai 201804, China · cShanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 201210, China
WaveZip: Wavelet-Driven Space-Time Decoupling for Video Token Condensation
Jul 25, 2026Yuhui Zeng, Wang Chen, Jinfa Huang +5Token Compression Video Compression
Media Analytics and Computing Lab, Xiamen University, Xiamen, China · Department of Computer Science, University of Rochester, Rochester, NY, USA
DKDNet: Dual Knowledge and Data-Driven Network for Cross-Domain Automatic Modulation Classification
Jul 9, 2026Shuang Wang, Chenxu Wang, Hantong Xing +3Orthogonal Frequency-Division Multiplexing Frequency Domain
School of Artificial Intelligence, Xidian University, Xi’an 710071, China · School of Electronics And Information, Northwestern Polytechnical University, Xi’an 710072, China · Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China
SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity
Jul 5, 2026Liyang Yuan, Yibo Yang, Dandan Guo +2Heterogeneous Federated Learning Federated Learning
School of Artificial Intelligence, Jilin University, Changchun 130012, China · King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia · School of Intelligence Science and Technology, Peking University, China
FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering
Jul 5, 2026Liyang Yuan, Yibo Yang, Dandan GuoFederated Learning Frequency Domain
School of Artificial Intelligence, Jilin University, Changchun, China · King Abdullah University of Science and Technology, Saudi Arabia
FR-DETR: Frequency and Recurrent Feature Refinement for Robust Object Detection under Adverse Weather
Jun 29, 2026Tuan-Duc Nguyen, Duc-Trong LeObject Detection Rt-Detr
FPT Software AI Center · VNU University of Engineering and Technology
Brownian Bridge Diffusion-Based Joint Channel Estimation and Data Detection for Jamming-Resilient Receivers
Jun 27, 2026Honghan She, Yufan Cheng, Tieming Sun +3Intentional Jamming Channel Estimation
National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China
FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution
Jun 27, 2026Minh Son Hoang, Dinh Phu Tran, Quyen Nguyen Duc +2Real-World Image Super-Resolution Frequency Domain
School of Computing, KAIST, Republic of Korea
Computational Analysis of Heart Rate Variability in Healthy Adults
Jun 25, 2026María J. Lado, Arturo J. Méndez, Leandro Rodriguez-Liñares +4Heart Rate Frequency Domain
Escola Superior de Enxeñaría Informática, IFCAE - Universidade de Vigo, Campus As Lagoas, Ourense, 32004, Spain. · Universidad Politécnica de Madrid, Escuela Tecn Super Ingn Telecomunicac, Informat Proc & Telecommun Ctr, Speech Technol & Machine Learning Grp, Madrid, 28040, Spain
Frequency Domain Reservoir Computing
Jun 23, 2026Klaus Schertler, Xiomara Runge, Andrea Ceni +2Reservoir Computing Frequency Domain
Airbus Central Research & Technology Taufkirchen, Germany · Department of Computer Science University of Pisa, Italy · Faculty of Technology Bielefeld University, Germany
Frequency-Domain Neural ODEs for Modeling Non-Linear Dynamical Systems
Jun 20, 2026Mohammed Ashraf, Ayman A. El-BadawyNeural Ordinary Differential Equations Nonlinear Dynamics
Department of Mechatronics Engineering, German University in Cairo, Cairo, Egypt
Starter-Iterator Neural Operator: A Unified Architecture for High-Fidelity Forward and Inverse PDE Problems
Jun 16, 2026Kuilin Qin, Lianfang Wang, Xu Sun +4Neural Operators Neural Partial Differential Equation Solvers
FD-SLAM: Fast Dense Radar-Inertial SLAM with Frequency-Domain Loop Closure and Pose Graph Optimization
Jun 13, 2026Nader J. Abu-Alrub, Nathir A. RawashdehOrb-Slam2 4D Radar
Frequency-domain Event-based Imaging for Selective Surveillance
May 14, 2026Megan Birch, James Rick, Adrish Kar +2Frequency Domain Video Surveillance
Georgia Tech Research Institute, 250 14th Street, NW, Atlanta, GA 30318, USA
FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising
May 11, 2026Guoquan Wei, Liu Shi, Chong Chen +1Iterative Denoising Methods Frequency Domain
School of Information Engineering, Nanchang University, Nanchang 330031, China · SKLMS, ICMSEC, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction
May 7, 2026Alessandro Pagani, Marco Cominelli, Liying Han +11Time Series Foundation Models Frequency Domain
DII, University of Brescia, Italy. · DEIB, Politecnico di Milano, Italy. · ECE Department, University of California, Los Angeles, USA. +6
Hyper-DP3: Frequency-Aware Right-Sizing of 3D Diffusion Policies for Visuomotor Control
May 2, 2026Jinhao Zhang, Zhexuan Zhou, Huizhe Li +5Diffusion Policies Visuomotor Policy
Harbin Institute of Technology, Shenzhen · Shanghai Jiao Tong University
AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting
Apr 25, 2026Xudong Jiang, Mingshan Loo, Hanchen Yang +5Long-Range Temporal Dependencies Frequency Domain
Tongji University Shanghai, China · Fudan University Shanghai, China
Breaking Watermarks in the Frequency Domain: A Modulated Diffusion Attack Framework
Apr 24, 2026Chunpeng Wang, Binyan Qu, Xiaoyu Wang +4Watermarks Diffusion Models
Qilu University of Technology (Shandong Academy of Sciences) Jinan, Shandong Province, China · Dalian Maritime University Dalian, Liaoning Province, China · Nanjing University of Science and Technology Nanjing, Jiangsu Province, China +1
Unlocking Optical Prior: Spectrum-Guided Knowledge Transfer for SAR Generalized Category Discovery
Apr 24, 2026Jingyuan Xia, Ruikang Hu, Ye Li +3Synthetic Aperture Radar Domain Adaptation
College of Electronic Science and Technology, National University of Defense Technology, Changsha, 410073, China · State Key Laboratory of Complex System Simulation and Modeling Technology, Beijing, 100091, China
A Novel Unified Approach to Deepfake Detection
Jan 6, 2026Lord Sen, Shyamapada MukherjeeDeepfake Detection Ai-Generated Video Detection
Computer Science and Engineering NIT Rourkela Rourkela, Odisha
Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals
May 23, 2025Julian Oelhaf, Georg Kordowich, Andreas Maier +2Power Systems Voltage
Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Institute of Electrical Energy Systems, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany

Aug 11, 2026, cs.LGJ/K move · Enter open · S save

DEFT: Data-Efficient Frequency-domain Top-k Sampling via Inverse Discrete Fourier Transform for Spatiotemporal Dynamical Systems Modeling

Hengbo Xiao, Jiale Liu, Jiahao Song, Guannan He

Peking University

Frequency Domain Partial Differential Equations Fourier Spatiotemporal Solver Iterations Lithium-Ion Batteries

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Modeling spatiotemporal dynamical systems governed by partial differential equations (PDEs) poses two major challenges: it either requires expensive physics-based simulators that entail iterative numerical solving at high computational cost, or it depends on abundant training data, yet purely data-driven models often generalize poorly to downstream dynamic operating conditions. We propose DEFT, a frequency-domain data sampling method that identifies the dominant Fourier modes of a physical system and systematically varies the corresponding amplitudes and phases to generate physically consistent training data via the inverse discrete Fourier transform. In addition, we derive a generalization bound of this method. We note that it also provides a theoretically principled criterion for selecting

K

. We evaluate the proposed method through three sets of experiments, each targeting a distinct aspect of its utility. First, we validate the framework on canonical PDEs solving demonstrating that it outperforms traditional methods when the system is dominated by a few prominent frequency components. Second, we employ DEFT as a data-value filter on the diffusion--sorption and Burgers equations of PDEBench, showing that it reduces data requirements by

40\%

while sacrificing less than

2\%

in predictive accuracy. Third, to evaluate DEFT for more challenging and practically relevant problems, we validate it in the battery degradation PDE system, achieving consistently high predictive accuracy across various test datasets with

R^2

values exceeding

0.99

. Moreover, the learned frequency-domain features transfer to other battery chemistries with only

20\%

of the fine-tuning data. These results demonstrate that DEFT is an effective data-sampling method for efficient operator learning.

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