By Dr Reza Argha

Preprints

Phan J; Parker G; Lovell N; Subbiah RN; Vandenberg JI; Hill AP; Argha A, 2025, MultiECGNet: A novel deep learning-based multi-format ensemble method for image-based electrocardiographic diagnosis of atrial fibrillation, http://dx.doi.org/10.1101/2025.06.21.25330061

Zahedi R; Argha A; Farbehi N; Bakhshayeshi I; Ye Y; Lovell NH; Alinejad-Rokny H, 2025, SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics, http://dx.doi.org/10.48550/arxiv.2506.11491

Chen D; Liu Z; Fang F; Leong CT; Ni S; Argha A; Alinejad-Rokny H; Yang M; Li C, 2025, Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation, http://dx.doi.org/10.48550/arxiv.2506.02973

Li J; Chen Y; Liu Z; Tan M; Zhang L; Li Y; Luo R; Chen L; Luo J; Argha A; Alinejad-Rokny H; Zhou W; Yang M, 2025, STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation, http://dx.doi.org/10.48550/arxiv.2506.02347

Sadeghi A; Hajati F; Argha A; Lovell NH; Yang M; Alinejad-Rokny H, 2025, Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking, http://arxiv.org/abs/2505.01696v1

Lee S; Ni S; Wei C; Li S; Fan L; Argha A; Alinejad-Rokny H; Xu R; Gong Y; Yang M, 2025, xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking, http://dx.doi.org/10.48550/arxiv.2501.16727

Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw S-T; Celler BG; Marks GB, 2024, Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review (Preprint), http://dx.doi.org/10.2196/preprints.69068

Luo J; Chen L; Luo R; Zhu L; Ao C; Li J; Chen Y; Cheng X; Yang W; Su J; Argha A; Alinejad-Rokny H; Li C; Ni S; Yang M, 2024, PersonaMath: Boosting Mathematical Reasoning via Persona-Driven Data Augmentation, http://dx.doi.org/10.48550/arxiv.2410.01504

Shamsi A; Becirovic R; Argha A; Abbasnejad E; Alinejad-Rokny H; Mohammadi A, 2024, ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance, http://dx.doi.org/10.48550/arxiv.2409.09251

Chen D; Fang F; Ni S; Liang F; Hu X; Argha A; Alinejad-Rokny H; Yang M; Li C, 2024, Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused, http://dx.doi.org/10.48550/arxiv.2408.08769

Karami M; Jahanian K; Alizadehsani R; Argha A; Dehzangi I; Gorriz JM; Zhang Y; Hajati F; Yang M; Alinejad-Rokny H, 2023, Revolutionizing Genomics with Reinforcement Learning Techniques, http://dx.doi.org/10.48550/arxiv.2302.13268

Labani M; Beheshti A; Argha A; Alinejad H, 2023, An Integrative Analysis of Chromatin Interactions, Gene Expression and Genomic Variants Identifies 30 Likely Regulatory Variants in Prostate Cancer, http://dx.doi.org/10.20944/preprints202301.0343.v1

Nasab RZ; Ghamsari MRE; Argha A; Macphillamy C; Beheshti A; Alizadehsani R; Lovell NH; Lotfollahi M; Alinejad-Rokny H, 2022, Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive Technical View, http://arxiv.org/abs/2210.04453v3

Hansun S; Argha A; Liaw S-T; Celler BG; Marks GB, 2022, Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review (Preprint), http://dx.doi.org/10.2196/preprints.43154

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