Hongru Zhu

According to our database, Hongru Zhu authored at least 11 papers between 2007 and 2024.

Collaborative distances:

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

2024

Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding.

Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou

CoRR, 2024

MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections.

Mude Hui, Zihao Wei, Hongru Zhu, Fei Xia, Yuyin Zhou

CoRR, 2024

Revisiting Adversarial Training at Scale.

Zeyu Wang, Xianhang Li, Hongru Zhu, Cihang Xie

CoRR, 2024

2023

Rejuvenating image-GPT as Strong Visual Representation Learners.

Sucheng Ren, Zeyu Wang, Hongru Zhu, Junfei Xiao, Alan L. Yuille, Cihang Xie

CoRR, 2023

2022

Improving EEG Decoding via Clustering-Based Multitask Feature Learning.

Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Minimum Variance Algorithm-Based Correlation Analysis between Body Mass Index and the Malignant Degree of Prostate Cancer Mediated under Ultrasound Images.

Yong Wei, Hongru Zhu, Peng Chen, Wenren Zuo, Wenhui Qian, Qingyi Zhu

Sci. Program., 2021

Three-dimensional pose discrimination in natural images of humans.

Hongru Zhu, Alan L. Yuille, Daniel J. Kersten

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2020

Improving EEG Decoding via Clustering-based Multi-task Feature Learning.

Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki

CoRR, 2020

2019

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models.

Hongru Zhu, Peng Tang, Alan L. Yuille

CoRR, 2019

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models.

Hongru Zhu, Peng Tang, Alan L. Yuille, Soojin Park, Jeongho Park

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2007

CDMA 1x Ev-DO security.

Semyon Mizikovsky, Zhibi Wang, Hongru Zhu

Bell Labs Tech. J., 2007