| Diffusion Models for Adversarial Purification W Nie, B Guo, Y Huang, C Xiao, A Vahdat, A Anandkumar International Conference on Machine Learning (ICML), 2022 | 479 | 2022 |
| Test-time prompt tuning for zero-shot generalization in vision-language models M Shu, W Nie, DA Huang, Z Yu, T Goldstein, A Anandkumar, C Xiao Advances in Neural Information Processing Systems 35, 14274-14289, 2022 | 287 | 2022 |
| RelGAN: Relational Generative Adversarial Networks for Text Generation W Nie, N Narodytska, A Patel International Conference on Learning Representations (ICLR), 2019 | 245 | 2019 |
| A theoretical explanation for perplexing behaviors of backpropagation-based visualizations W Nie, Y Zhang, A Patel International Conference on Machine Learning (ICML), 2018 | 180 | 2018 |
| ISB: Image-to-Image Schr\"odinger Bridge GH Liu, A Vahdat, DA Huang, EA Theodorou, W Nie, A Anandkumar arXiv preprint arXiv:2302.05872, 2023 | 144 | 2023 |
| Multi-modal molecule structure–text model for text-based retrieval and editing S Liu, W Nie, C Wang, J Lu, Z Qiao, L Liu, J Tang, C Xiao, A Anandkumar Nature Machine Intelligence 5 (12), 1447-1457, 2023 | 137 | 2023 |
| Fast sampling of diffusion models via operator learning H Zheng, W Nie, A Vahdat, K Azizzadenesheli, A Anandkumar International conference on machine learning, 42390-42402, 2023 | 119 | 2023 |
| QG-net: a data-driven question generation model for educational content Z Wang, AS Lan, W Nie, AE Waters, PJ Grimaldi, RG Baraniuk Proceedings of the fifth annual ACM conference on learning at scale, 1-10, 2018 | 112 | 2018 |
| GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics M Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ... The International Journal of High Performance Computing Applications 37 (6 …, 2023 | 85 | 2023 |
| Semi-Supervised StyleGAN for Disentanglement Learning W Nie, T Karras, A Garg, S Debhath, A Patney, AB Patel, A Anandkumar International Conference on Machine Learning (ICML), 2020 | 83 | 2020 |
| Controllable and Compositional Generation with Latent-Space Energy-Based Models W Nie, A Vahdat, A Anandkumar Advances in Neural Information Processing Systems (NeurIPS), 2021 | 81 | 2021 |
| User-centric cross-tier base station clustering and cooperation in heterogeneous networks: Rate improvement and energy saving W Nie, FC Zheng, X Wang, W Zhang, S Jin IEEE Journal on Selected Areas in Communications 34 (5), 1192-1206, 2016 | 71 | 2016 |
| Densepure: Understanding diffusion models towards adversarial robustness C Xiao, Z Chen, K Jin, J Wang, W Nie, M Liu, A Anandkumar, B Li, D Song arXiv preprint arXiv:2211.00322, 2022 | 69* | 2022 |
| Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning W Nie, Z Yu, L Mao, AB Patel, Y Zhu, A Anandkumar Advances in Neural Information Processing Systems (NeurIPS), 2020 | 67 | 2020 |
| State-specific protein–ligand complex structure prediction with a multiscale deep generative model Z Qiao, W Nie, A Vahdat, TF Miller III, A Anandkumar Nature Machine Intelligence 6 (2), 195-208, 2024 | 65 | 2024 |
| Toward a tractable delay analysis in ultra-dense networks Y Zhong, M Haenggi, FC Zheng, W Zhang, TQS Quek, W Nie IEEE Communications Magazine 55 (12), 103-109, 2017 | 60* | 2017 |
| A text-guided protein design framework S Liu, Y Li, Z Li, A Gitter, Y Zhu, J Lu, Z Xu, W Nie, A Ramanathan, C Xiao, ... arXiv preprint arXiv:2302.04611, 2023 | 58 | 2023 |
| Towards a Better Understanding and Regularization of GAN Training Dynamics W Nie, AB Patel Uncertainty in Artificial Intelligence (UAI), 2019 | 55 | 2019 |
| Uplink performance improvement by decoupling uplink/downlink access in HetNets L Zhang, W Nie, G Feng, FC Zheng, S Qin IEEE Transactions on Vehicular Technology 66 (8), 6862-6876, 2017 | 55 | 2017 |
| Fast training of diffusion models with masked transformers H Zheng, W Nie, A Vahdat, A Anandkumar arXiv preprint arXiv:2306.09305, 2023 | 51 | 2023 |
Ankit B. PatelAssistant Professor, Baylor College of Medicine, Rice UniversityVerified email at rice.edu
