Diffusion Models for Adversarial Purification W Nie, B Guo, Y Huang, C Xiao, A Vahdat, A Anandkumar
International Conference on Machine Learning (ICML), 2022
363 2022 RelGAN: Relational Generative Adversarial Networks for Text Generation W Nie, N Narodytska, A Patel
International Conference on Learning Representations (ICLR), 2019
232 2019 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
212 2022 A theoretical explanation for perplexing behaviors of backpropagation-based visualizations W Nie, Y Zhang, A Patel
International Conference on Machine Learning (ICML), 2018
170 2018 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
106 2023 I GH Liu, A Vahdat, DA Huang, EA Theodorou, W Nie, A Anandkumar
arXiv preprint arXiv:2302.05872, 2023
105 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
103 2018 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
88 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
75 2020 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 Controllable and Compositional Generation with Latent-Space Energy-Based Models W Nie, A Vahdat, A Anandkumar
Advances in Neural Information Processing Systems (NeurIPS), 2021
70 2021 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
64 2023 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
61 2020 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 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
54 2017 Towards a Better Understanding and Regularization of GAN Training Dynamics W Nie, AB Patel
Uncertainty in Artificial Intelligence (UAI), 2019
52 2019 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
51 * 2022 HetNets with random DTX scheme: Local delay and energy efficiency W Nie, Y Zhong, FC Zheng, W Zhang, T O'Farrell
IEEE Transactions on Vehicular Technology 65 (8), 6601-6613, 2015
46 2015 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
39 2023 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
33 2024 
Ankit B. PatelAssistant Professor, Baylor College of Medicine, Rice UniversityGeverifieerd e-mailadres voor rice.edu
