Xiao Li (李虓)

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

Ikuti

Xiao Li (李虓)

Ph.D. candidate at University of Michigan

Email yang diverifikasi di umich.edu - Beranda

Representation Learning Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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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