Chongxuan Li

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Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
fan baoShengShuVerified email at shengshu.ai
Hang SuAssociated Professor, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Cheng LuOpenAIVerified email at openai.com
Kun XuTsinghua universityVerified email at mails.tsinghua.edu.cn
Jianfei ChenAssociate Professor, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Yuhao ZhouPh.D. Student, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Chao DuSenior Research Scientist, Sea AI LabVerified email at mails.tsinghua.edu.cn
Min ZhaoTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Shen NieRenmin University of ChinaVerified email at ruc.edu.cn
Yue CaoLightyear AIVerified email at baai.ac.cn
Kaiwen XueRenmin University of ChinaVerified email at ruc.edu.cn
Zhengyi WangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Tianyu PangSenior Research Scientist, Sea AI LabVerified email at sea.com
Lanqing HONGNational University of Singapore, Huawei Noah's Ark LabVerified email at u.nus.edu
Guoqiang WuAssociate Professor, Shandong UniversityVerified email at sdu.edu.cn
Liyuan WangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindVerified email at google.com
Chenyu ZhengRenmin University of ChinaVerified email at ruc.edu.cn
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamVerified email at uva.nl

Chongxuan Li

Associate Professor (tenure track), Renmin University of China

Verified email at ruc.edu.cn - Homepage

Machine Learning Generative Models Deep Learning


Title Sort by citations Sort by year Sort by 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	906	2022
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	604	2016
Triple generative adversarial nets C Li, T Xu, J Zhu, B Zhang Advances in neural information processing systems 30, 2017	559	2017
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	520	2024
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	336	2022
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	297	2022
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	233*	2023
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations M Zhao, F Bao, C Li, J Zhu NeurIPS 2022, 2022	169	2022
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	112	2024
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	109	2023
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	107	2022
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	90	2017
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	82	2021
Mice: Mixture of contrastive experts for unsupervised image clustering TW Tsai, C Li, J Zhu International conference on learning representations, 2020	82	2020
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	71	2022
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	66	2022
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	53	2017
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	49	2020
Equivariant Energy-Guided SDE for Inverse Molecular Design F Bao, M Zhao, Z Hao, P Li, C Li, J Zhu ICLR 2023, 2022	47	2022
Learning to generate with memory C Li, J Zhu, B Zhang International conference on machine learning, 1177-1186, 2016	47	2016

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