| A review of generative adversarial networks (GANs) and its applications in a wide variety of disciplines: from medical to remote sensing A Dash, J Ye, G Wang IEEE Access 12, 18330-18357, 2023 | 147 | 2023 |
| CFD Analysis ofWind Turbine Airfoil at Various Angles of Attack A Dash IOSR J. Mech. Civ. Eng 13 (04), 18-24, 2016 | 28 | 2016 |
| High resolution solar image generation using generative adversarial networks A Dash, J Ye, G Wang, H Jin Annals of Data Science 11 (5), 1545-1561, 2024 | 20 | 2024 |
| DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice‐based system Z Jian, X Xie, Y Fang, Y Jiang, Y Lu, A Dash, T Li, G Wang Software: Practice and Experience 54 (10), 2102-2126, 2024 | 14 | 2024 |
| Safety in traffic management systems: A comprehensive survey W Du, A Dash, J Li, H Wei, G Wang Designs 7 (4), 100, 2023 | 14 | 2023 |
| Free fall of homogeneous and heterogeneous cones JT Kim, Y Jin, S Shen, A Dash, LP Chamorro Physical Review Fluids 5 (9), 093801, 2020 | 14 | 2020 |
| A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines--from Medical to Remote Sensing. arXiv. 2021 A Dash, J Ye, G Wang arXiv preprint arXiv:2110.01442, 0 | 13 | |
| Prediction with time-series mixer for the S&P500 index J Ye, J Gu, A Dash, FP Deek, GG Wang 2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW …, 2023 | 10 | 2023 |
| HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined RGB and Depth Inpainting A Dash, J Gu, G Wang arXiv preprint arXiv:2402.10334, 2024 | 1 | 2024 |
| Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding J Ye, A Dash, W Yin, G Wang arXiv preprint arXiv:2412.16420, 2024 | | 2024 |
| Attentive Partial Convolution for RGBD Image Inpainting A Dash, G Wang, T Han Companion Proceedings of the ACM Web Conference 2024, 1410-1417, 2024 | | 2024 |
| Self-Supervised Learning for User Localization A Dash, J Gu, G Wang, N Ansari | | 2024 |
| HierGAN: GAN-Based Hierarchical Model for Combined RGB and Depth Inpainting A Dash, J Gu, G Wang | | |
| Experimental Investigation on Full Load Combustion Behavior of an Unmodified CI Engine Using Diesel and Biodiesel C Mishra, A Dash | | |
Guiling (Grace) WangDistinguished Professor of College of Computing Sciences and School of Management, NJITВерификована је имејл адреса на njit.edu