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Chongxuan Li
Chongxuan Li
Associate Professor (tenure track), Renmin University of China
Verified email at ruc.edu.cn - Homepage
Title
Cited by
Cited by
Year
Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu
NeurIPS 2022, 2022
7232022
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
5752016
Triple generative adversarial nets
C Li, T Xu, J Zhu, B Zhang
Advances in neural information processing systems 30, 2017
5442017
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Z Wang, C Lu, Y Wang, F Bao, C Li, H Su, J Zhu
Advances in Neural Information Processing Systems 36, 2024
3772024
Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models
C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu
arXiv preprint arXiv:2211.01095, 2022
2612022
Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models
F Bao, C Li, J Zhu, B Zhang
International Conference on Learning Representations, 2022
2482022
All are worth words: A vit backbone for diffusion models
F Bao, S Nie, K Xue, Y Cao, C Li, H Su, J Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
157*2023
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations
M Zhao, F Bao, C Li, J Zhu
NeurIPS 2022, 2022
1372022
Memory replay with data compression for continual learning
L Wang, X Zhang, K Yang, L Yu, C Li, L Hong, S Zhang, Z Li, Y Zhong, ...
ICLR 2022, 2022
862022
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
832017
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
F Bao, S Nie, K Xue, C Li, S Pu, Y Wang, G Yue, Y Cao, H Su, J Zhu
ICML, 2023, 2023
772023
Mice: Mixture of contrastive experts for unsupervised image clustering
TW Tsai, C Li, J Zhu
International conference on learning representations, 2020
682020
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
672021
On evaluating adversarial robustness of large vision-language models
Y Zhao, T Pang, C Du, X Yang, C Li, NMM Cheung, M Lin
Advances in Neural Information Processing Systems 36, 2024
632024
Estimating the optimal covariance with imperfect mean in diffusion probabilistic models
F Bao, C Li, J Sun, J Zhu, B Zhang
arXiv preprint arXiv:2206.07309, 2022
612022
Maximum likelihood training for score-based diffusion odes by high order denoising score matching
C Lu, K Zheng, F Bao, J Chen, C Li, J Zhu
International Conference on Machine Learning, 14429-14460, 2022
532022
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
522017
Learning to generate with memory
C Li, J Zhu, B Zhang
International conference on machine learning, 1177-1186, 2016
452016
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
442020
Graphical generative adversarial networks
C Li, M Welling, J Zhu, B Zhang
Advances in neural information processing systems 31, 2018
422018
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