Lianghui Zhu

According to our database, Lianghui Zhu authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning.

Qiming He, Yingming Xu, Qiang Huang, Yanxia Wang, Jing Ye, Yonghong He, Jing Li, Lianghui Zhu, Zhe Wang, Tian Guan

J. Biomed. Informatics, 2025

2024

MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification.

Mingxi Ouyang, Yuqiu Fu, Renao Yan, Shanshan Shi, Xitong Ling, Lianghui Zhu, Yonghong He, Tian Guan

CoRR, 2024

Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification.

Xuenian Wang, Shanshan Shi, Renao Yan, Qiehe Sun, Lianghui Zhu, Tian Guan, Yonghong He

CoRR, 2024

DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention.

Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang

CoRR, 2024

ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention.

Bencheng Liao, Xinggang Wang, Lianghui Zhu, Qian Zhang, Chang Huang

CoRR, 2024

WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition.

Lianghui Zhu, Junwei Zhou, Yan Liu, Xin Hao, Wenyu Liu, Xinggang Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, Xinggang Wang

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

2023

Unpaired virtual histological staining using prior-guided generative adversarial networks.

Renao Yan, Qiming He, Yiqing Liu, Peng Ye, Lianghui Zhu, Shanshan Shi, Jizhou Gou, Yonghong He, Tian Guan, Guangde Zhou

Comput. Medical Imaging Graph., April, 2023

JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

Lianghui Zhu, Xinggang Wang, Xinlong Wang

CoRR, 2023

WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation.

Lianghui Zhu, Yingyue Li, Jiemin Fang, Yan Liu, Hao Xin, Wenyu Liu, Xinggang Wang

CoRR, 2023

2020

Accelerating Spectrum Sharing Algorithms for Cognitive Radio Transmitters in a Momentum Q-Learning Approach.

Lianghui Zhu, Zhanke Zhou, Zhaochuan Peng, Xiaojun Hei

Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020