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)

A Geometric Analysis of Neural Collapse with Unconstrained Features. - Zhihui Zhu; Tianyu Ding; Jinxin Zhou; Xiao Li 026; Chong You; Jeremias Sulam; Qing Qu 001 (NeurIPS, 2021)

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. - Jinxin Zhou; Xiao Li 026; Tianyu Ding; Chong You; Qing Qu 001; Zhihui Zhu (ICML, 2022)

Are All Losses Created Equal: A Neural Collapse Perspective. - Jinxin Zhou; Chong You; Xiao Li 026; Kangning Liu; Sheng Liu; Qing Qu 001; Zhihui Zhu (NeurIPS, 2022)

Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. - Xiao Li 026; Sheng Liu; Jinxin Zhou; Xinyu Lu; Carlos Fernandez-Granda; Zhihui Zhu; Qing Qu 001 (CoRR, 2022)

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)

DREAM: Diffusion Rectification and Estimation-Adaptive Models. - Jinxin Zhou; Tianyu Ding; Tianyi Chen; Jiachen Jiang; Ilya Zharkov; Zhihui Zhu; Luming Liang (CVPR, 2024)

Generalized Neural Collapse for a Large Number of Classes. - Jiachen Jiang; Jinxin Zhou; Peng Wang 098; Qing Qu 001; Dustin G. Mixon; Chong You; Zhihui Zhu (ICML, 2024)

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. - Tianyu Ding; Jinxin Zhou; Tianyi Chen; Zhihui Zhu; Ilya Zharkov; Luming Liang (CoRR, 2024)

On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier. - Jiachen Jiang; Jinxin Zhou; Zhihui Zhu (CoRR, 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)

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse. - Xiao Li 026; Sheng Liu; Jinxin Zhou; Xinyu Lu; Carlos Fernandez-Granda; Zhihui Zhu; Qing Qu 001 (Trans. Mach. Learn. Res., 2024)

A Validation Approach to Over-parameterized Matrix and Image Recovery. - Lijun Ding; Zhen Qin; Liwei Jiang; Jinxin Zhou; Zhihui Zhu (CPAL, 2025)

Are all layers created equal: A neural collapse perspective. - Jinxin Zhou; Jiachen Jiang; Zhihui Zhu (CPAL, 2025)

Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity. - Jiachen Jiang; Jinxin Zhou; Zhihui Zhu (ICLR, 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, 2025)

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models. - Jiachen Jiang; Jinxin Zhou; Bo Peng; Xia Ning; Zhihui Zhu (CoRR, 2025)

From Compression to Expansion: A Layerwise Analysis of In-Context Learning. - Jiachen Jiang; Yuxin Dong; Jinxin Zhou; Zhihui Zhu (CoRR, 2025)

On the Convergence of Gradient Descent on Learning Transformers with Residual Connections. - Zhen Qin; Jinxin Zhou; Zhihui Zhu (CoRR, 2025)