Bee-inspired metaheuristics for global optimization: a performance comparison. - Ryan Solgi; Hugo A. Loáiciga (Artif. Intell. Rev., 2021)

Evolutionary Tensor Train Decomposition for Hyper-Spectral Remote Sensing Images. - Ryan Solgi; Hugo A. Loáiciga; Zheng Zhang 005 (IGARSS, 2022)

Tensor Shape Search for Optimum Data Compression. - Ryan Solgi; Zichang He; William Jiahua Liang; Zheng Zhang 005 (CoRR, 2022)

Partial Tensorized Transformers for Natural Language Processing. - Subhadra Vadlamannati; Ryan Solgi (ICAART (3), 2024)

Low-Rank Tensorized Neural Networks With Tensor Geometry Optimization - Ryan Solgi (2024)

Tensor shape search for efficient compression of tensorized data and neural networks. - Ryan Solgi; Zichang He; William Jiahua Liang; Zheng Zhang 005; Hugo A. Loáiciga (Appl. Soft Comput., 2024)

Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models. - Ryan Solgi; Kai Zhen; Rupak Vignesh Swaminathan; Nathan Susanj; Athanasios Mouchtaris; Siegfried Kunzmann; Zheng Zhang 005 (CoRR, 2025)

FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression. - Jiayi Tian; Ryan Solgi; Jinming Lu; Yifan Yang; Hai Li 008; Zheng Zhang 005 (CoRR, 2025)

Do Tensorized Large-Scale Spatiotemporal Dynamic Atmospheric Data Exhibit Low-Rank Properties? - Ryan Solgi; Seyedali Mousavinezhad; Hugo A. Loáiciga (CoRR, 2025)