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2020 – today
- 2024
[j2]Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu:
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse. Trans. Mach. Learn. Res. 2024 (2024)- [c5]Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CVPR 2024: 8342-8351 - [c4]Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu
, Dustin G. Mixon, Chong You, Zhihui Zhu:
Generalized Neural Collapse for a Large Number of Classes. ICML 2024 - [i11]Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang:
AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. CoRR abs/2404.08292 (2024) - [i10]Jiachen Jiang, Jinxin Zhou, Zhihui Zhu:
On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier. CoRR abs/2406.14479 (2024) - [i9]Hamoud Alhazmi, Marcelo Morales, Jiachen Jiang, Jinxin Zhou, Jian Chen:
Analysis of the Causes of Car Accidents in the United States of America in 2023: Gauge People Understanding of Data Visualisation. CoRR abs/2406.17872 (2024) - 2023
- [i8]Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu:
Generalized Neural Collapse for a Large Number of Classes. CoRR abs/2310.05351 (2023) - [i7]Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CoRR abs/2312.00210 (2023) - [i6]Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang:
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. CoRR abs/2312.00678 (2023) - 2022
- [c3]Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu:
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. ICML 2022: 27179-27202 - [c2]Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu:
Are All Losses Created Equal: A Neural Collapse Perspective. NeurIPS 2022 - [i5]Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu:
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. CoRR abs/2203.01238 (2022) - [i4]Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu:
A Validation Approach to Over-parameterized Matrix and Image Recovery. CoRR abs/2209.10675 (2022) - [i3]Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu:
Are All Losses Created Equal: A Neural Collapse Perspective. CoRR abs/2210.02192 (2022) - [i2]Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu:
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. CoRR abs/2212.12206 (2022) - 2021
- [c1]Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu:
A Geometric Analysis of Neural Collapse with Unconstrained Features. NeurIPS 2021: 29820-29834 - [i1]Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu:
A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR abs/2105.02375 (2021)
2010 – 2019
- 2019
- [j1]Takero Yoshida, Yoichi Mizukami, Jinxin Zhou, Daisuke Kitazawa:
Horizontal visibility of an underwater low-resolution video camera modeled by practical parameters near the sea surface. Ecol. Informatics 52: 122-130 (2019)
Coauthor Index
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