| 2023 | GLOBECOM | Modeling Viral Information Spreading via Directed Acyclic Graph Diffusion. | Chinthaka Dinesh, Gene Cheung, Fei Chen, Yuejiang Li, H. Vicky Zhao |
| 2022 | ICASSP | Linear-Time Sampling on Signed Graphs Via Gershgorin Disc Perfect Alignment. | Chinthaka Dinesh, Saghar Bagheri, Gene Cheung, Ivan V. Bajic |
| 2020 | ICASSP | Super-Resolution of 3D Color Point Clouds Via Fast Graph Total Variation. | Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic |
| 2020 | ICIP | Sampling Of 3d Point Cloud Via Gershgorin Disc Alignment. | Chinthaka Dinesh, Gene Cheung, Fen Wang, Ivan V. Bajic |
| 2019 | ICIP | 3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals. | Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic |
| 2019 | MMSP | 3D Point Cloud Color Denoising Using Convex Graph-Signal Smoothness Priors. | Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic |
| 2018 | MMSP | Local 3D Point Cloud Denoising via Bipartite Graph Approximation & Total Variation. | Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic, Cheng Yang |
| 2017 | VCIP | Exemplar-based framework for 3D point cloud hole filling. | Chinthaka Dinesh, Ivan V. Bajic, Gene Cheung |