| High-speed computer-generated holography using an autoencoder-based deep neural network J Wu, K Liu, X Sui, L Cao Optics Letters 46 (12), 2908-2911, 2021 | 172 | 2021 |
| 4K-DMDNet: diffraction model-driven network for 4K computer-generated holography K Liu, J Wu, Z He, L Cao Opto-Electronic Advances, 220135-1-220135-13, 2023 | 79 | 2023 |
| Three-dimensional holographic communication system for the metaverse L He, K Liu, Z He, L Cao Optics Communications 526, 128894, 2023 | 67 | 2023 |
| Pattern-adaptive error diffusion algorithm for improved phase-only hologram generation K Liu, Z He, L Cao Chinese Optics Letters 19 (5), 050501, 2021 | 29 | 2021 |
| Double amplitude freedom Gerchberg–Saxton algorithm for generation of phase-only hologram with speckle suppression K Liu, Z He, L Cao Applied Physics Letters 120 (6), 061103, 2022 | 28 | 2022 |
| Progress of the Computer-Generated Holography Based on Deep Learning Y Zhang, M Zhang, K Liu, Z He, L Cao Applied Sciences 12 (17), 8568, 2022 | 20 | 2022 |
| Watermarking and Encryption for Holographic Communication Z He, K Liu, L Cao Photonics 9 (10), 675, 2022 | 5 | 2022 |
| Angular-spectrum algorithm for holographic 3D display based on 2D-to-3D approach Z He, K Liu, X Sui, L Cao Ultra-High-Definition Imaging Systems V 12025, 55-60, 2022 | 3 | 2022 |
| High-quality and high-speed computer-generated holography via deep-learning-assisted bidirectional error diffusion method K Liu, J Wu, L Cao Optics Express 32 (21), 37342-37354, 2024 | | 2024 |
