Enshu Liu

202320245 9

Xuefei NingTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerifierad e-postadress på mail.tsinghua.edu.cn
Zinan LinMicrosoft Research (Redmond), Carnegie Mellon UniversityVerifierad e-postadress på microsoft.com
Tianchen ZhaoTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Binxin RuDPhil Student, University of OxfordVerifierad e-postadress på robots.ox.ac.uk
Junbo ZhaoTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Zixuan ZhouMaster, Tsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Junyi ZhuDepartment of Electrical Engineering, KU LevuenVerifierad e-postadress på esat.kuleuven.be
Matthew BlaschkoKU LeuvenVerifierad e-postadress på esat.kuleuven.be
Yuhan DongAssociate Professor, Tsinghua Shenzhen International Graduate SchoolVerifierad e-postadress på sz.tsinghua.edu.cn
Yi CaiPh.D. student, Tsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Lidong GuoTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Guohao DaiAssociate Professor of Shanghai Jiao Tong UniversityVerifierad e-postadress på sjtu.edu.cn
Sergey YekhaninMicrosoftVerifierad e-postadress på microsoft.com
Huazhong YangProfessor of Electronics Engineering, Tsinghua UniversityVerifierad e-postadress på tsinghua.edu.cn

Enshu Liu

Verifierad e-postadress på mails.tsinghua.edu.cn - Startsida


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	10	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 ICLR 24, 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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