| 2025 | ICASSP | Enhancing Imaging Generation through Implicit Neural Representations and HyperNetwork for Spatial Variability. | Jaehoon Cha, Siu Lun Yeung, Siddharth Dhanpal, Jeyan Thiyagalingam |
| 2024 | ECCV | Affinity-VAE: Incorporating Prior Knowledge in Representation Learning from Scientific Images. | Marjan Famili, Jola Mirecka, Camila Rangel Smith, Anna Kostanska, Nikolai Juraschko, Beatriz Costa-Gomes, Colin M. Palmer, Jeyan Thiyagalingam, Tom Burnley, Mark Basham, Alan R. Lowe |
| 2024 | ICASSP | Global Convergence of Alternating Direction Method of Multipliers for Invex Objective Losses. | Samuel Pinilla, Siu Lun Yeung, Jeyan Thiyagalingam |
| 2024 | ICLR | Global Optimality for Non-linear Constrained Restoration Problems via Invexity. | Samuel Pinilla, Jeyan Thiyagalingam |
| 2024 | VISIGRAPP | Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering. | Kuangdai Leng, Robert Atwood, Winfried Kockelmann, Deniza Chekrygina, Jeyan Thiyagalingam |
| 2023 | ICML | Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations. | Jaehoon Cha, Jeyan Thiyagalingam |
| 2023 | ICMLA | Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels. | Kuangdai Leng, Jeyan Thiyagalingam |