Frequency-Domain Feature Learning

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6 papers in the last four weeks, up 20% on the four weeks before. 0.1% of all new papers.

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Frequency-Domain Latent Attention Gating for Cross-Domain Token Aggregation
Jun 6, 2026Kewei Li, Rongying Zhang, Xueli Wang +5Frequency-Domain Feature Learning
College of Computer Science and Technology, Jilin University, Changchun, 130012, China. · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China. · Institute for Quantitative and Computational Biology, University of California, Los Angeles, 90024, United States of America. +2
Beyond Compression: Quantifying Spectral Accessibility in Vision Representations
Jun 2, 2026Akayou A. Kitessa, Yijun ZhaoVisual Representation Learning Frequency-Domain Feature Learning
Fordham University New York City, NY
Low-Frequency Shortcuts in Texture-Driven Visual Learning
Jun 2, 2026Utku Şirin, Cathy Hou, David Alvarez-Melis +1Distribution Shift Robustness Frequency-Domain Feature Learning
Harvard University
SRENet: Spectral Re-Entry Network for Point Cloud Action Recognition
Jun 2, 2026Qiuxia Wu, Jiarui Lan, Wenxiong Kang +2Frequency-Domain Feature Learning Point Cloud Learning
School of Software Engineering, South China University of Technology, Guangzhou 511400, China · School of Automation Science and Engineering, South China University of Technology, Guangzhou 511400, China · School of Computer Science, University of Sydney, Sydney, NSW 2006, Australia +1
FAF-CD: Frequency-Aware Fusion for Change Detection under Imperfect Multimodal Remote Sensing
Jun 2, 2026Yufan Wang, Sokratis Makrogiannis, Chandra KambhamettuMultimodal Robustness Frequency-Domain Feature Learning
University of South Florida · 2Delaware State University
FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting
May 31, 2026Mirza Samad Ahmed Baig, Syeda Anshrah GillaniLong-Term Time Series Forecasting Frequency-Domain Feature Learning
Fandaqah, Al Khobar, Saudi Arabia · Hamdard University, Karachi, Pakistan
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
May 31, 2026Peng He, Yao Liu, Yanglei Gan +3Multivariate Time Series Forecasting Frequency-Domain Feature Learning
University of Electronic Science and Technology of China · Chengdu, Sichuan, China
Revisiting Neural Processes via Fourier Transform and Volterra Series
May 31, 2026Peiman Mohseni, Nick Duffield, Raymond K. W. WongNeural Processes Frequency-Domain Feature Learning
Texas A&M University, College Station, Texas, USA.
Context-aware tokenization for Cross-subject Emotion Decoding from EEG
May 30, 2026Jiaxin Qing, Lexin LiCross-Subject EEG Decoding EEG Decoding
University of California, Berkeley
Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs
May 29, 2026Qihong Yang, Qiaolin HeNeural PDE Solvers PDE Solving
School of Mathematics, Sichuan University, city=Chengdu, postcode=610065, country=China
Deep Psychovisual Image Representations
May 28, 2026Wendi Ma, Aryaman Sharma, Wei Dai +1Visual Representation Learning Frequency-Domain Feature Learning
School of EECS, The University of Queensland
Lightweight Complementary-Cue Fusion for Robust Video Face Forgery Detection
May 27, 2026Sunghwan Baek, Tariq Anwaar, Karanveer Singh +1Frequency-Domain Feature Learning Deepfake Detection
Carnegie Mellon University
Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models
May 26, 2026Aditya Kommineni, Emily Zhou, Kleanthis Avramidis +7Self-Supervised Time Series Representation Learning EEG Decoding
Ming Hsieh Department of Electrical and Computer Engineering1 University of Southern California · Thomas Lord Department of Computer Science2[cs.LG] University of Southern California · Department of Mathematical Sciences3 Aalborg University
BandVQ: Band-Wise Vector-Quantized EEG Foundation Model
May 24, 2026Jamiyan Sukhbaatar, Satoshi Imamura, Toshihisa TanakaCross-Subject EEG Decoding Masked Autoencoders
National University of Mongolia, Ulaanbaatar, Mongolia · Tokyo University of Agriculture and Technology, Tokyo, Japan
BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
May 21, 2026Guikang Du, Haoran Li, Xinyu Liu +3Frequency-Domain Feature Learning Invariant Representation Learning
College of Computer Science, Nankai University, Tianjin, China · College of Cyber Science, Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation, Key Lab of Data and Intelligent System Security, Frontiers Science Center for New Organic Matter, Nankai University, Tianjin, China
EasyVFX: Frequency-Driven Decoupling for Resource-Efficient VFX Generation
May 21, 2026Yue Ma, Xu Ye, Qinghe Wang +9Frequency-Domain Feature Learning Data-Efficient Learning
1HKUST · 2DUT · 3THU +1
Early High-Frequency Injection for Geometry-Sensitive OOD Detection
May 20, 2026Chuanjie Cheng, Ningkang Peng, Chenxi Liu +3Frequency-Domain Feature Learning OOD Detection
Nanjing Normal University
Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration
May 17, 2026Xinghua Huang, Zhixiong Yang, Chen Wu +6Frequency-Domain Feature Learning Frequency-Domain Image Processing
College of Electronic Science, National University of Defense Technology, Changsha, 410073, China · College of Electronic Engineering, Beihang University, Beijing, 100191, China · VCIP, School of Computer Science, Nankai University, Tianjin, 300071, China
Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density
May 17, 2026Jingru Fei, Kun Yi, Alex Xing Wang +3Zero-Shot Time Series Forecasting Frequency-Domain Feature Learning
Beijing Institute of Technology · North China Institute of Computing Technology · State Information Center +4
A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights
May 16, 2026Fabiola Ricci, Claudia Merger, Sebastian GoldtSample Complexity Frequency-Domain Feature Learning
International School of Advanced Studies (SISSA), Trieste, Italy
FRWKV+: Periodic-Aware Adaptive Gating for Frequency-Space Linear Time Series Forecasting
May 15, 2026Qingyuan Yang, Dongyue Chen, Da Teng +3Multivariate Time Series Forecasting Long-Term Time Series Forecasting
College of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, China · Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, Guangdong, China · Northeastern University, Shenyang, 110819, Liaoning, China
Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis
May 14, 2026Tawsik Jawad, Gowtham Atluri, Vikram RavindraElectroencephalography Time Series Classification
University of Cincinnati, Cincinnati, OH, USA
Decision-Level Fusion for Robust Wearable Affect Recognition
May 14, 2026Lokesh Singh, Athina Georgara, Jayati Deshmukh +2Multimodal Robustness Frequency-Domain Feature Learning
University of Southampton · Southampton, United Kingdom
CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators
May 14, 2026Pengcheng Fang, Hongli Chen, Yuxia Chen +3Frequency-Domain Feature Learning Accelerated MRI Reconstruction
University of Southampton · University of Queensland · 3Chengdu University of Technology +1
WD-FQDet: Multispectral Detection Transformer via Wavelet Decomposition and Frequency-aware Query Learning
May 13, 2026Chunjin Yang, Xiwei Zhang, Yiming Xiao +1Multispectral Object Detection Frequency-Domain Feature Learning
University of Electronic Science and Technology of China,Chengdu, Sichuan 611731, China
What Do EEG Foundation Models Capture from Human Brain Signals?
May 12, 2026Ling Tang, Qian Chen, Jilin Mei +6Frequency-Domain Feature Learning Representation Probing
Shanghai Artificial Intelligence Laboratory · Shanghai Jiao Tong University · Tongji University +2
ChannelKAN: Multi-Scale Dual-Domain Channel Prediction via Hybrid CNN-KAN Architecture
May 11, 2026Nanqing Jiang, Zhangyao Song, Tao Guo +2Frequency-Domain Feature Learning Wireless Communications
School of Cyber Science and Engineering, Southeast University, Nanjing, China
CFSPMNet: Cross-subject Fourier-guided Spatial-Patch Mamba Network for EEG Motor Imagery Decoding in Stroke Patients
May 11, 2026Xiangkai Wang, Yun Zhao, Dongyi He +5Cross-Subject EEG Decoding Brain-Computer Interfaces
School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China; Chongqing Key Laboratory of Embodied Intelligence Perception and Autonomous Learning for Humanoid Robots; Key Laboratory of Advanced Equipment Intelligence of the Chongqing Education Commission, Chongqing 401135, China · School of Smart Health, Chongqing Polytechnic University of Electronic Technology, Chongqing 401131, China · Department of Language Science and Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China +1
Frequency Matching in Spiking Neural Networks for mmWave Sensing
May 11, 2026Di Yu, Zhenyu Liao, Changze Lv +7Energy-Efficient ML Frequency-Domain Feature Learning
College of Computer Science and Technology, Zhejiang University, Hangzhou, China · School of Computer Science, Fudan University, Shanghai, China · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China +1
Frequency Adapter with SAM for Generalized Medical Image Segmentation
May 11, 2026Phuoc-Nguyen Bui, Van-Nguyen Pham, Duc-Tai Le +2Frequency-Domain Feature Learning Domain Generalization
Sungkyunkwan University, Korea

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Frequency-Domain Latent Attention Gating for Cross-Domain Token Aggregation

Kewei Li, Rongying Zhang, Xueli Wang, Xiwen Gong+4

College of Computer Science and Technology, Jilin University, Changchun, 130012, China. · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China. · Institute for Quantitative and Computational Biology, University of California, Los Angeles, 90024, United States of America.+2

Frequency-Domain Feature Learning

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Token aggregation is a common bottleneck in models that map token representations to sample-level predictions, yet most pooling methods operate only in the original token domain. We propose FLaG, a plug-in aggregation module that transforms token representations with the real FFT, summarizes spectral components with learnable latent queries, applies a channel-wise gate, and reconstructs enhanced time-domain tokens for final pooling. We evaluate FLaG on antimicrobial peptide (AMP) activity prediction with ESM2, image classification with ResNet18 on CIFAR-10 and CIFAR-100, and text classification with RoBERTa on IMDB and GLUE. FLaG achieves its clearest gains on the ESM2-8M antimicrobial peptide tasks and on CIFAR-100, while remaining competitive with strong text baselines on IMDB and GLUE. Then we probe its behavior on the AMP setting with band knockouts, gate summaries, residue perturbations, latent-query readouts, and structure-proxy stratification. We find that low-frequency bands contribute the most overall, and the remaining higher-band pattern is more sample-specific. The gate acts as a broadly shared spectral reweighting stage and the cross-attention patterns are sample-specific with mild query-wise differentiation, and higher-helix peptides exhibit stronger average spectral sensitivity in both bacteria. The supplementary materials, source code and data are released at https://www.healthinformaticslab.org/supp/ and https://github.com/Kewei2023/AMPCliff/tree/FLaG.

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