Lianghui Zhu

According to our database, Lianghui Zhu authored at least 31 papers between 2020 and 2026.

Collaborative distances:

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

2026

Mixture-of-Depths Attention.

Lianghui Zhu, Yuxin Fang, Bencheng Liao, Shijie Wang, Tianheng Cheng, Zilong Huang, Chen Chen, Lai Wei, Yutao Zeng, Ya Wang, Yi Lin, Yu Li, Xinggang Wang

CoRR, March, 2026

GloPath: An Entity-Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights.

Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He

CoRR, March, 2026

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

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

IEEE Trans. Image Process., 2026

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis.

Xitong Ling, Xiaoxiao Li, Jiawen Li, Mingxi Fu, Yuxuan Chen, Jing Peng, Minxi Ouyang, Yizhi Wang, Yonghong He, Xiaoping Liu, Lianghui Zhu, Tian Guan

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

LENS: Learning to Segment Anything with Unified Reinforced Reasoning.

Lianghui Zhu, Bin Ouyang, Yuxuan Zhang, Tianheng Cheng, Rui Hu, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Li Yu, Wenyu Liu, Xinggang Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Generic to Specialized: A Subspecialty Diagnostic System Powered by Self-Supervised Learning for Cervical Histopathology.

Yizhi Wang, Li Chen, Qiang Huang, Tian Guan, Xi Deng, Zhiyuan Shen, Jiawen Li, Xinrui Chen, Bin Hu, Xitong Ling, Taojie Zhu, Zirui Huang, Deshui Yu, Yan Liu, Jiurun Chen, Lianghui Zhu, Qiming He, Yiqing Liu, Diwei Shi, Hanzhong Liu, Junbo Hu, Hongyi Gao, Zhen Song, Xilong Zhao, Chao He, Ming Zhao, Yonghong He

CoRR, October, 2025

Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation.

Mingxi Fu, Fanglei Fu, Xitong Ling, Huaitian Yuan, Tian Guan, Yonghong He, Lianghui Zhu

CoRR, August, 2025

TransLight: Image-Guided Customized Lighting Control with Generative Decoupling.

Zongming Li, Lianghui Zhu, Haocheng Shen, Longjin Ran, Wenyu Liu, Xinggang Wang

CoRR, August, 2025

Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis.

Mingxi Fu, Xitong Ling, Yuxuan Chen, Jiawen Li, Fanglei Fu, Huaitian Yuan, Tian Guan, Yonghong He, Lianghui Zhu

CoRR, August, 2025

DiagR1: A Vision-Language Model Trained via Reinforcement Learning for Digestive Pathology Diagnosis.

Minxi Ouyang, Lianghui Zhu, Yaqing Bao, Qiang Huang, Jingli Ouyang, Tian Guan, Xitong Ling, Jiawen Li, Song Duan, Wenbin Dai, Li Zheng, Xuemei Zhang, Yonghong He

CoRR, July, 2025

Hierarchically Optimized Multiple Instance Learning With Multi-Magnification Pathological Images for Cerebral Tumor Diagnosis.

Lianghui Zhu, Renao Yan, Tian Guan, Fenfen Zhang, Linlang Guo, Qiming He, Shanshan Shi, Huijuan Shi, Yonghong He, Anjia Han

IEEE J. Biomed. Health Informatics, June, 2025

Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology.

Lianghui Zhu, Xitong Ling, Minxi Ouyang, Xiaoping Liu, Mingxi Fu, Tian Guan, Fanglei Fu, Xuanyu Wang, Maomao Zeng, Mingxi Zhu, Yibo Jin, Liming Liu, Song Duan, Qiming He, Yizhi Wang, Luxi Xie, Houqiang Li, Yonghong He, Sufang Tian

CoRR, May, 2025

WeakCLIP: Adapting CLIP for Weakly-Supervised Semantic Segmentation.

Lianghui Zhu, Xinggang Wang, Jiapei Feng, Tianheng Cheng, Yingyue Li, Bo Jiang, Dingwen Zhang, Junwei Han

Int. J. Comput. Vis., March, 2025

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis.

Xitong Ling, Yifeng Ping, Jiawen Li, Jing Peng, Yuxuan Chen, Minxi Ouyang, Yizhi Wang, Yonghong He, Tian Guan, Xiaoping Liu, Lianghui Zhu

CoRR, March, 2025

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis.

Yuxuan Chen, Jiawen Li, Huijuan Shi, Yang Xu, Tian Guan, Lianghui Zhu, Yonghong He, Anjia Han

CoRR, January, 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

Dynamic hypergraph representation for bone metastasis analysis.

Yuxuan Chen, Jiawen Li, Lianghui Zhu, Yang Xu, Tian Guan, Huijuan Shi, Yonghong He, Anjia Han

Comput. Methods Programs Biomed., 2025

Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers.

Gangwei Xu, Haotong Lin, Hongcheng Luo, Xianqi Wang, Jingfeng Yao, Lianghui Zhu, Yuechuan Pu, Cheng Chi, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Sida Peng, Xin Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Lianghui Zhu, Xinggang Wang, Xinlong Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding.

Rui Hu, Lianghui Zhu, Yuxuan Zhang, Tianheng Cheng, Lei Liu, Heng Liu, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

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

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

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

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