Weili Nie
Weili Nie
NVIDIA Research
Verified email at - Homepage
Cited by
Cited by
Diffusion Models for Adversarial Purification
W Nie, B Guo, Y Huang, C Xiao, A Vahdat, A Anandkumar
International Conference on Machine Learning (ICML), 2022
RelGAN: Relational Generative Adversarial Networks for Text Generation
W Nie, N Narodytska, A Patel
International Conference on Learning Representations (ICLR), 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
A theoretical explanation for perplexing behaviors of backpropagation-based visualizations
W Nie, Y Zhang, A Patel
International Conference on Machine Learning (ICML), 2018
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
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
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
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
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
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
Controllable and Compositional Generation with Latent-Space Energy-Based Models
W Nie, A Vahdat, A Anandkumar
Advances in Neural Information Processing Systems (NeurIPS), 2021
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
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
Towards a Better Understanding and Regularization of GAN Training Dynamics
W Nie, AB Patel
Uncertainty in Artificial Intelligence (UAI), 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
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
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
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
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
Dynamic-backbone protein-ligand structure prediction with multiscale generative diffusion models
Z Qiao, W Nie, A Vahdat, TF Miller III, A Anandkumar
arXiv preprint arXiv:2209.15171 1, 2022
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