オープン アクセスを義務付けられた論文 - Zhangyang (Atlas) Wang詳細
一般公開: 150 件
Aod-net: All-in-one dehazing network
B Li, X Peng, Z Wang, J Xu, D Feng
Proceedings of the IEEE international conference on computer vision, 4770-4778, 2017
委任: National Natural Science Foundation of China
Benchmarking single-image dehazing and beyond
B Li, W Ren, D Fu, D Tao, D Feng, W Zeng, Z Wang
IEEE Transactions on Image Processing 28 (1), 492-505, 2018
委任: US National Science Foundation, Australian Research Council, National …
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
O Kupyn, T Martyniuk, J Wu, Z Wang
IEEE International Conference on Computer Vision (ICCV), 2019
委任: US National Science Foundation
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Y Jiang, S Chang, Z Wang
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
委任: US National Science Foundation
Graph Contrastive Learning Automated
Y You, T Chen, Y Shen, Z Wang
International Conference on Machine Learning (ICML), 2021
委任: National Natural Science Foundation of China
DeepAffinity: interpretable deep learning of compound–protein affinity through unified recurrent and convolutional neural networks
M Karimi, D Wu, Z Wang, Y Shen
Bioinformatics 35 (18), 3329-3338, 2019
委任: US Department of Defense, US National Institutes of Health
Text2video-zero: Text-to-image diffusion models are zero-shot video generators
L Khachatryan, A Movsisyan, V Tadevosyan, R Henschel, Z Wang, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
委任: US National Science Foundation, US Institute of Education Sciences, US …
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
EK Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin
International Conference on Machine Learning (ICML), 2019
委任: US National Science Foundation, US Department of Defense, National Natural …
The lottery ticket hypothesis for pre-trained bert networks
T Chen, J Frankle, S Chang, S Liu, Y Zhang, Z Wang, M Carbin
Advances in Neural Information Processing Systems (NeurIPS), 2020
委任: US National Science Foundation
Can we gain more from orthogonality regularizations in training deep networks?
N Bansal, X Chen, Z Wang
Advances in Neural Information Processing Systems 31, 2018
委任: US National Science Foundation
H2o: Heavy-hitter oracle for efficient generative inference of large language models
Z Zhang, Y Sheng, T Zhou, T Chen, L Zheng, R Cai, Z Song, Y Tian, C Ré, ...
Advances in Neural Information Processing Systems 36, 34661-34710, 2023
委任: US National Science Foundation
Single Image Deraining: A Comprehensive Benchmark Analysis
S Li, IB Araujo, W Ren, Z Wang, EK Tokuda, RH Junior, R Cesar-Junior, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
委任: US National Science Foundation, National Natural Science Foundation of China
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
Y Yuan, W Yang, W Ren, J Liu, WJ Scheirer, Z Wang
IEEE Transactions on Image Processing, 2020
委任: US National Science Foundation, US Department of Defense, US Office of the …
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
X Chen, J Liu, Z Wang, W Yin
In Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018
委任: US National Science Foundation, US Department of Defense
Learning to optimize: A primer and a benchmark
T Chen, X Chen, W Chen, H Heaton, J Liu, Z Wang, W Yin
Journal of Machine Learning Research 23 (2022) 1-59, 2022
委任: US National Science Foundation
When Does Self-Supervision Help Graph Convolutional Networks?
Y You, T Chen, Z Wang, Y Shen
International Conference on Machine Learning (ICML), 2020
委任: US Department of Defense, US National Institutes of Health
When image denoising meets high-level vision tasks: A deep learning approach
D Liu, B Wen, X Liu, Z Wang, T Huang
International Joint Conferences on Artificial Intelligence (IJCAI), 2018
委任: US Department of Defense
Robust Pre-Training by Adversarial Contrastive Learning
Z Jiang, T Chen, T Chen, Z Wang
Advances in Neural Information Processing Systems (NeurIPS), 2020
委任: US Department of Defense
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
T Chen, Y Cheng, Z Gan, L Yuan, L Zhang, Z Wang
Advances in Neural Information Processing Systems 34, 2021
委任: US National Science Foundation
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
J Liu, X Chen, Z Wang, W Yin
International Conference on Learning Representations (ICLR), 2019
委任: US National Science Foundation
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