Lizhen Zhu

According to our database, Lizhen Zhu authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

SplineGen: Approximating unorganized points through generative AI.

Qiang Zou, Lizhen Zhu, Jiayu Wu, Zhijie Yang

Comput. Aided Des., 2025

2024

Incorporating simulated spatial context information improves the effectiveness of contrastive learning models.

Lizhen Zhu, James Z. Wang, Wonseuk Lee, Brad Wyble

Patterns, 2024

SplineGen: a generative model for B-spline approximation of unorganized points.

Qiang Zou, Lizhen Zhu

CoRR, 2024

Context-driven self-supervised visual learning: Harnessing the environment as a data source.

Lizhen Zhu, James Z. Wang, Wonseuk Lee, Brad Wyble

CoRR, 2024

2023

Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: Development and external validation of Hybrid 2D/3D UNet.

Ping Hu, Haizhu Zhou, Tengfeng Yan, Hongping Miu, Feng Xiao, Xinyi Zhu, Lei Shu, Shuang Yang, Ruiyun Jin, Wenlei Dou, Baoyu Ren, Lizhen Zhu, Wanrong Liu, Yihan Zhang, Kaisheng Zeng, Minhua Ye, Shigang Lv, Miaojing Wu, Gang Deng, Rong Hu, Renya Zhan, Qianxue Chen, Dong Zhang, Xingen Zhu

NeuroImage, October, 2023

2022

Using Navigational Information to Learn Visual Representations.

Lizhen Zhu, Brad Wyble, James Z. Wang

CoRR, 2022

2020

Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models.

Yun Luo, Lizhen Zhu, Zi-Yu Wan, Bao-Liang Lu

CoRR, 2020

2019

Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing.

Yunxuan Xiao, Yikai Li, Yuwei Wu, Lizhen Zhu

CoRR, 2019

Auto-Retoucher(ART) - A Framework for Background Replacement and Foreground Adjustment.

Yunxuan Xiao, Yikai Li, Yuwei Wu, Lizhen Zhu

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition.

Yun Luo, Lizhen Zhu, Bao-Liang Lu

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019