Chongxuan Li
Chongxuan Li
Dirección de correo verificada de mail.tsinghua.edu.cn - Página principal
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Año
Towards better analysis of deep convolutional neural networks
M Liu, J Shi, Z Li, C Li, J Zhu, S Liu
IEEE transactions on visualization and computer graphics 23 (1), 91-100, 2016
3452016
Triple generative adversarial nets
LI Chongxuan, T Xu, J Zhu, B Zhang
Advances in neural information processing systems, 4088-4098, 2017
336*2017
Max-margin deep generative models
C Li, J Zhu, T Shi, B Zhang
arXiv preprint arXiv:1504.06787, 2015
362015
Learning to write stylized chinese characters by reading a handful of examples
D Sun, T Ren, C Li, H Su, J Zhu
arXiv preprint arXiv:1712.06424, 2017
352017
Learning to generate with memory
C Li, J Zhu, B Zhang
International Conference on Machine Learning, 1177-1186, 2016
342016
Max-margin deep generative models for (semi-) supervised learning
C Li, J Zhu, B Zhang
IEEE transactions on pattern analysis and machine intelligence 40 (11), 2762 …, 2017
322017
Graphical generative adversarial networks
C Li, M Welling, J Zhu, B Zhang
arXiv preprint arXiv:1804.03429, 2018
242018
Collaborative filtering with user-item co-autoregressive models
C Du, C Li, Y Zheng, J Zhu, B Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
202018
Triple generative adversarial networks
C Li, K Xu, J Liu, J Zhu, B Zhang
arXiv preprint arXiv:1912.09784, 2019
112019
To relieve your headache of training an mrf, take advil
C Li, C Du, K Xu, M Welling, J Zhu, B Zhang
arXiv preprint arXiv:1901.08400, 2019
10*2019
Multi-objects generation with amortized structural regularization
K Xu, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1906.03923, 2019
82019
Learning implicit generative models by teaching explicit ones
C Du, K Xu, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1807.03870, 2018
82018
Understanding and Stabilizing GANs' Training Dynamics with Control Theory
K Xu, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1909.13188, 2019
72019
Bi-level score matching for learning energy-based latent variable models
F Bao, C Li, K Xu, H Su, J Zhu, B Zhang
arXiv preprint arXiv:2010.07856, 2020
52020
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
TW Tsai, C Li, J Zhu
International Conference on Learning Representations, 2020
52020
Efficient learning of generative models via finite-difference score matching
T Pang, K Xu, C Li, Y Song, S Ermon, J Zhu
arXiv preprint arXiv:2007.03317, 2020
52020
Implicit Normalizing Flows
C Lu, J Chen, C Li, Q Wang, J Zhu
arXiv preprint arXiv:2103.09527, 2021
42021
Ordisco: Effective and efficient usage of incremental unlabeled data for semi-supervised continual learning
L Wang, K Yang, C Li, L Hong, Z Li, J Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
32021
Understanding and Stabilizing GANs’ Training Dynamics using Control Theory
K Xu, C Li, J Zhu, B Zhang
International Conference on Machine Learning, 10566-10575, 2020
32020
Countering noisy labels by learning from auxiliary clean labels
TW Tsai, C Li, J Zhu
arXiv preprint arXiv:1905.13305, 2019
32019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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