A full, up-to-date list with citation counts is on my Google Scholar profile.
Identifying artifacts differences using graph neural networks. K. D. C. Pena, R. J. Becker. US Patent 12,639,341, 2026.
Systems and methods for training an information extraction transformer model architecture. K. D. C. Pena Pena, R. Tharathorn, P. L. Frick, D. L. Tak Yiu. US Patent 11,861,884, 2024.
Architecture and training method for multimodal content moderation model. T. Rimchala, K. D. C. Pena. US Patent App. 18/933,984, 2026.
Context-aware information retrieval. K. D. C. Pena, A. Sinha, R. Becker, E. Fiator. US Patent App. 18/782,876, 2026.
Completeness graph generator. K. D. C. Pena, A. Sinha, G. Kallepalli, M. Muthu. US Patent App. 18/423,128, 2025.
T-HyperGNNs: Hypergraph neural networks via tensor representations. F. Wang, K. Pena-Pena, W. Qian, G. R. Arce. IEEE Transactions on Neural Networks and Learning Systems, 36(3), 2024.
Transformer end-to-end optimization of compressive LiDARs using imaging spectroscopy side information. N. Porras-Diaz, A. Ramirez-Jaime, G. R. Arce, K. Pena-Pena, D. Harding, et al. IEEE Transactions on Geoscience and Remote Sensing, 62, 2024.
HyperHeight LiDAR compressive sampling and machine learning reconstruction of forested landscapes. A. Ramirez-Jaime, K. Pena-Pena, G. R. Arce, D. Harding, M. Stephen, et al. IEEE Transactions on Geoscience and Remote Sensing, 62, 2024.
Learning hypergraphs tensor representations from data via t-HGSP. K. Pena-Pena, L. Taipe, F. Wang, D. L. Lau, G. R. Arce. IEEE Transactions on Signal and Information Processing over Networks, 10, 2023.
t-HGSP: Hypergraph signal processing using t-product tensor decompositions. K. Pena-Pena, D. L. Lau, G. R. Arce. IEEE Transactions on Signal and Information Processing over Networks, 9, 2023.
A multigraph-defined distribution function in a simulation model of a communication network. S. Miletic, I. Pokrajac, K. Pena-Pena, G. R. Arce, V. Mladenovic. Entropy, 24(9), 2022.
QRnet: Fast learning-based QR code image embedding. K. Pena-Pena, D. L. Lau, A. J. Arce, G. R. Arce. Multimedia Tools and Applications, 81(8), 2022.
Fast spectral clustering method based on graph similarity matrix completion. X. Ma, S. Zhang, K. Pena-Pena, G. R. Arce. Signal Processing, 189, 2021.
Blue-noise sampling of graph and multigraph signals: Dithering on non-Euclidean domains. D. L. Lau, G. R. Arce, A. Parada-Mayorga, D. Dapena, K. Pena-Pena. IEEE Signal Processing Magazine, 37(6), 2020.
A hybrid approach incorporating superpixels for diabetic foot lesion segmentation using YOLOv5 and SAM. L. Taipe, J. Bardales, K. Pena-Pena, G. Comina, M. Segovia. IEEE International Symposium on Biomedical Imaging (ISBI), 2024.
A unified view between tensor hypergraph neural networks and signal denoising. F. Wang, K. Pena-Pena, W. Qian, G. R. Arce. European Signal Processing Conference (EUSIPCO), 2023.
Colored-QRNet: Fast QR code color image embedding. K. Pena-Pena, D. L. Lau, G. R. Arce. European Signal Processing Conference (EUSIPCO), 2022.
HedcutDrawings: Rendering hedcut style portraits. K. Pena-Pena, G. R. Arce. Eurographics Symposium on Rendering (EGSR), 2022.
Per-pixel calibration using CALTag and dense 3D point cloud reconstruction. K. Pena-Pena, X. Ma, D. L. Lau, G. R. Arce. SPIE Applications of Digital Image Processing XLII, 2019.
Channel coding optimization for visually pleasant QR codes (invited presentation). K. Pena-Pena, G. R. Arce. Conference on Information Sciences and Systems (CISS), 2019.
Learning from high-order data: Hypergraphs and smart codes. Ph.D. dissertation, University of Delaware, 2023.
Per-pixel calibration using CALTag and 3D point cloud sampling and reconstruction on multigraphs. M.S. thesis, University of Delaware, 2020.