Xiao Li (李虓)

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Qing QuAssistant Professor, Dept. of EECS, University of MichiganPreverjeni e-poštni naslov na umich.edu
Zhihui ZhuAssistant Professor, Ohio State UniversityPreverjeni e-poštni naslov na osu.edu
Jinxin ZhouOhio State UniversityPreverjeni e-poštni naslov na osu.edu
Chong YouGooglePreverjeni e-poštni naslov na google.com
Tianyu Ding, Ph.D.Principal Researcher, Microsoft | Johns Hopkins UniversityPreverjeni e-poštni naslov na microsoft.com
Sheng LiuStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Yuexiang ZhaiUC Berkeley | Google DeepMindPreverjeni e-poštni naslov na berkeley.edu
Jeremias SulamAssistant Professor, BME, Johns Hopkins UniversityPreverjeni e-poštni naslov na jhu.edu
Carlos Fernandez-GrandaCourant Institute and Center for Data Science, New York UniversityPreverjeni e-poštni naslov na cims.nyu.edu
Kangning LiuAdobe IncPreverjeni e-poštni naslov na adobe.com
PENG WANGPostdoc Fellow, Department of Electrical Engineering and Computer Science, University of MichiganPreverjeni e-poštni naslov na umich.edu
Can YarasPhD Student, University of MichiganPreverjeni e-poštni naslov na umich.edu
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganPreverjeni e-poštni naslov na umich.edu
Tingting WuImaging Scientist at MetalenzPreverjeni e-poštni naslov na wustl.edu
Matthew D. LewAssociate Professor of Electrical and Systems Engineering, Washington University in St. LouisPreverjeni e-poštni naslov na wustl.edu
Yutong WangAssistant Professor, Computer Science, Illinois Institute of TechnologyPreverjeni e-poštni naslov na iit.edu
Yen-Chang HsuSamsung Research AmericaPreverjeni e-poštni naslov na gatech.edu
Ting HuaSamsung Research AmericaPreverjeni e-poštni naslov na vt.edu
Shangqian GaoFlorida State UniversityPreverjeni e-poštni naslov na pitt.edu
Yilin ShenAI Research Scientist

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Xiao Li (李虓)

Ph.D. candidate at University of Michigan

Preverjeni e-poštni naslov na umich.edu - Domača stran

Representation Learning Machine Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
A geometric analysis of neural collapse with unconstrained features Z Zhu, T Ding, J Zhou, X Li, C You, J Sulam, Q Qu Advances in Neural Information Processing Systems 34, 29820-29834, 2021	219	2021
Investigating the catastrophic forgetting in multimodal large language models Y Zhai, S Tong, X Li, M Cai, Q Qu, YJ Lee, Y Ma arXiv preprint arXiv:2309.10313, 2023	117	2023
On the optimization landscape of neural collapse under mse loss: Global optimality with unconstrained features J Zhou, X Li, T Ding, C You, Q Qu, Z Zhu International Conference on Machine Learning, 27179-27202, 2022	112	2022
Are all losses created equal: A neural collapse perspective J Zhou, C You, X Li, K Liu, S Liu, Q Qu, Z Zhu Advances in Neural Information Processing Systems 35, 31697-31710, 2022	64	2022
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse X Li, S Liu, J Zhou, X Lu, C Fernandez-Granda, Z Zhu, Q Qu arXiv preprint arXiv:2212.12206, 2022	33	2022
Convolutional normalization: Improving deep convolutional network robustness and training S Liu, X Li, Y Zhai, C You, Z Zhu, C Fernandez-Granda, Q Qu Advances in Neural Information Processing Systems 34, 28919-28928, 2021	28	2021
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination P Wang, X Li, C Yaras, Z Zhu, L Balzano, W Hu, Q Qu arXiv preprint arXiv:2311.02960, 2023	18	2023
Deep-SMOLM: deep learning resolves the 3D orientations and 2D positions of overlapping single molecules with optimal nanoscale resolution T Wu, P Lu, MA Rahman, X Li, MD Lew Optics Express 30 (20), 36761-36773, 2022	15	2022
Neural collapse in multi-label learning with pick-all-label loss P Li, X Li, Y Wang, Q Qu arXiv preprint arXiv:2310.15903, 2023	6	2023
Dynamic Low-rank Estimation for Transformer-based Language Models T Hua, X Li, S Gao, YC Hsu, Y Shen, H Jin Findings of the Association for Computational Linguistics: EMNLP 2023, 9275-9287, 2023	2	2023
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling X Li, Z Zhang, X Li, S Chen, Z Zhu, P Wang, Q Qu arXiv preprint arXiv:2502.05743, 2025		2025

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