Enshu Liu

202320245 7

Xuefei NingTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerified email at mail.tsinghua.edu.cn
Zinan LinMicrosoft Research (Redmond), Carnegie Mellon UniversityVerified email at microsoft.com
Tianchen ZhaoTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Binxin RuDPhil Student, University of OxfordVerified email at robots.ox.ac.uk
Junbo ZhaoTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Zixuan ZhouMaster, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
Yuhan DongAssociate Professor, Tsinghua Shenzhen International Graduate SchoolVerified email at sz.tsinghua.edu.cn
Yi CaiPh.D. student, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Lidong GuoTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Guohao DaiAssociate Professor of Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Sergey YekhaninMicrosoftVerified email at microsoft.com
Junyi ZhuDepartment of Electrical Engineering, KU LevuenVerified email at esat.kuleuven.be
Huazhong YangProfessor of Electronics Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn

Enshu Liu

Verified email at mails.tsinghua.edu.cn - Homepage


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Oms-dpm: Optimizing the model schedule for diffusion probabilistic models E Liu, X Ning, Z Lin, H Yang, Y Wang International Conference on Machine Learning, 21915-21936, 2023	8	2023
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS “Cold-Start” J Zhao, X Ning, E Liu, B Ru, Z Zhou, T Zhao, C Chen, J Zhang, Q Liao, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11316 …, 2023	2	2023
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models E Liu, X Ning, H Yang, Y Wang arXiv preprint arXiv:2312.07243, 2023	1	2023
Memory-oriented structural pruning for efficient image restoration X Shi, X Ning, L Guo, T Zhao, E Liu, Y Cai, Y Dong, H Yang, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2245-2253, 2023	1	2023
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better E Liu, J Zhu, Z Lin, X Ning, MB Blaschko, S Yekhanin, S Yan, G Dai, ... arXiv preprint arXiv:2404.02241, 2024		2024
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better J Zhu, Z Lin, E Liu, X Ning, MB Blaschko The Second Tiny Papers Track at ICLR 2024, 0

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