Chongxuan Li

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	Visi	Nuo 2020
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i10-rodyklė	49	49

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Jun ZhuProfessor of Computer Science, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
fan baoShengShuPatvirtintas el. paštas shengshu.ai
Cheng LuOpenAIPatvirtintas el. paštas openai.com
Kun XuTsinghua universityPatvirtintas el. paštas mails.tsinghua.edu.cn
Jianfei ChenAssociate Professor, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Chao DuSenior Research Scientist, Sea AI LabPatvirtintas el. paštas mails.tsinghua.edu.cn
Shen NieRenmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Tianyu PangSenior Research Scientist, Sea AI LabPatvirtintas el. paštas sea.com
Yue CaoLightyear AIPatvirtintas el. paštas baai.ac.cn
Min ZhaoTsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Zhengyi WangTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Guoqiang WuAssociate Professor, Shandong UniversityPatvirtintas el. paštas sdu.edu.cn
Yikai WangTsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Chenyu ZhengRenmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamPatvirtintas el. paštas uva.nl
Hao Sun (孙浩)Associate Professor with Tenure, GSAI, Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Ji-Rong WenRenmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Yang SongOpenAIPatvirtintas el. paštas openai.com

Stebėti

Chongxuan Li

Associate Professor (tenure track), Renmin University of China

Patvirtintas el. paštas ruc.edu.cn - Pagrindinis puslapis

Machine Learning Generative Models Deep Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	1238	2022
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, 8406-8441, 2023	774	2023
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	622	2016
Triple generative adversarial nets C Li, T Xu, J Zhu, B Zhang Advances in neural information processing systems 30, 2017	570	2017
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	475	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	363*	2023
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	352	2022
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations M Zhao, F Bao, C Li, J Zhu NeurIPS 2022, 2022	215	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, 54111-54138, 2023	189	2023
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	150	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	128	2022
Crm: Single image to 3d textured mesh with convolutional reconstruction model Z Wang, Y Wang, Y Chen, C Xiang, S Chen, D Yu, C Li, H Su, J Zhu European Conference on Computer Vision, 57-74, 2024	101	2024
Mice: Mixture of contrastive experts for unsupervised image clustering TW Tsai, C Li, J Zhu International conference on learning representations, 2020	100	2020
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	99	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	91	2021
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	82	2022
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	78	2022
Equivariant Energy-Guided SDE for Inverse Molecular Design F Bao, M Zhao, Z Hao, P Li, C Li, J Zhu ICLR 2023, 2022	61	2022
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	59	2020
Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning C Lu, H Chen, J Chen, H Su, C Li, J Zhu International Conference on Machine Learning, 22825-22855, 2023	58	2023

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