Jinxin Zhou

According to our database, Jinxin Zhou authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

On the Convergence of Gradient Descent on Learning Transformers with Residual Connections.

Zhen Qin, Jinxin Zhou, Zhihui Zhu

CoRR, June, 2025

From Compression to Expansion: A Layerwise Analysis of In-Context Learning.

Jiachen Jiang, Yuxin Dong, Jinxin Zhou, Zhihui Zhu

CoRR, May, 2025

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models.

Jiachen Jiang, Jinxin Zhou, Bo Peng, Xia Ning, Zhihui Zhu

CoRR, May, 2025

Cat-AIR: Content and Task-Aware All-in-One Image Restoration.

Jiachen Jiang, Tianyu Ding, Ke Zhang, Jinxin Zhou, Tianyi Chen, Ilya Zharkov, Zhihui Zhu, Luming Liang

CoRR, March, 2025

Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity.

Jiachen Jiang, Jinxin Zhou, Zhihui Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Are all layers created equal: A neural collapse perspective.

Jinxin Zhou, Jiachen Jiang, Zhihui Zhu

Proceedings of the Conference on Parsimony and Learning, 2025

A Validation Approach to Over-parameterized Matrix and Image Recovery.

Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu

Proceedings of the Conference on Parsimony and Learning, 2025

2024

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse.

Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

Trans. Mach. Learn. Res., 2024

Analysis of the Causes of Car Accidents in the United States of America in 2023: Gauge People Understanding of Data Visualisation.

Hamoud Alhazmi, Marcelo Morales, Jiachen Jiang, Jinxin Zhou, Jian Chen

CoRR, 2024

On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier.

Jiachen Jiang, Jinxin Zhou, Zhihui Zhu

CoRR, 2024

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation.

Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang

CoRR, 2024

Generalized Neural Collapse for a Large Number of Classes.

Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DREAM: Diffusion Rectification and Estimation-Adaptive Models.

Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey.

Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang

CoRR, 2023

2022

Principled and Efficient Transfer Learning of Deep Models via Neural Collapse.

Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

CoRR, 2022

Are All Losses Created Equal: A Neural Collapse Perspective.

Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features.

Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu

Proceedings of the International Conference on Machine Learning, 2022

2021

A Geometric Analysis of Neural Collapse with Unconstrained Features.

Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Horizontal visibility of an underwater low-resolution video camera modeled by practical parameters near the sea surface.

Takero Yoshida, Yoichi Mizukami, Jinxin Zhou, Daisuke Kitazawa

Ecol. Informatics, 2019