Segui
Chongxuan Li
Chongxuan Li
Tenure-track Assistant Professor in Gaoling School of AI, Renmin University of China
Email verificata su ruc.edu.cn - Home page
Titolo
Citata da
Citata da
Anno
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
3992016
Triple generative adversarial networks
C Li, K Xu, J Zhu, J Liu, B Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
398*2021
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
73*2017
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
512017
Learning to generate with memory
C Li, J Zhu, B Zhang
International Conference on Machine Learning, 1177-1186, 2016
372016
Graphical generative adversarial networks
C Li, M Welling, J Zhu, B Zhang
Advances in neural information processing systems 31, 2018
292018
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
252018
Mice: Mixture of contrastive experts for unsupervised image clustering
TW Tsai, C Li, J Zhu
International Conference on Learning Representations, 2020
152020
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
14*2019
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
13*2020
Multi-objects generation with amortized structural regularization
T Xu, C Li, J Zhu, B Zhang
Advances in Neural Information Processing Systems 32, 2019
132019
Efficient learning of generative models via finite-difference score matching
T Pang, K Xu, C Li, Y Song, S Ermon, J Zhu
Advances in Neural Information Processing Systems 33, 19175-19188, 2020
122020
Implicit normalizing flows
C Lu, J Chen, C Li, Q Wang, J Zhu
arXiv preprint arXiv:2103.09527, 2021
112021
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
102021
Learning implicit generative models by teaching density estimators
K Xu, C Du, C Li, J Zhu, B Zhang
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020
10*2020
Bi-level score matching for learning energy-based latent variable models
F Bao, C Li, K Xu, H Su, J Zhu, B Zhang
Advances in Neural Information Processing Systems 33, 18110-18122, 2020
72020
Countering noisy labels by learning from auxiliary clean labels
TW Tsai, C Li, J Zhu
arXiv preprint arXiv:1905.13305, 2019
52019
Variational (gradient) estimate of the score function in energy-based latent variable models
F Bao, K Xu, C Li, L Hong, J Zhu, B Zhang
International Conference on Machine Learning, 651-661, 2021
42021
Population matching discrepancy and applications in deep learning
J Chen, C Li, Y Ru, J Zhu
Advances in Neural Information Processing Systems 30, 2017
42017
Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models
F Bao, C Li, J Zhu, B Zhang
arXiv preprint arXiv:2201.06503, 2022
22022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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