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Journal Articles
- 2023
[j1]Renao Yan
, Qiming He, Yiqing Liu, Peng Ye, Lianghui Zhu, Shanshan Shi, Jizhou Gou, Yonghong He, Tian Guan, Guangde Zhou:
Unpaired virtual histological staining using prior-guided generative adversarial networks. Comput. Medical Imaging Graph. 105: 102185 (2023)
Conference and Workshop Papers
- 2024
- [c3]Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, Xinggang Wang:
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model. ICML 2024 - [c2]Lianghui Zhu, Junwei Zhou, Yan Liu, Xin Hao, Wenyu Liu, Xinggang Wang:
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition. ACM Multimedia 2024: 7947-7956 - 2020
- [c1]Lianghui Zhu, Zhanke Zhou, Zhaochuan Peng, Xiaojun Hei:
Accelerating Spectrum Sharing Algorithms for Cognitive Radio Transmitters in a Momentum Q-Learning Approach. SimuTools (1) 2020: 533-547
Informal and Other Publications
- 2024
- [i8]Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, Xinggang Wang:
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model. CoRR abs/2401.09417 (2024) - [i7]Lianghui Zhu, Junwei Zhou, Yan Liu, Xin Hao, Wenyu Liu, Xinggang Wang:
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition. CoRR abs/2402.14812 (2024) - [i6]Bencheng Liao, Xinggang Wang, Lianghui Zhu, Qian Zhang, Chang Huang:
ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention. CoRR abs/2405.18425 (2024) - [i5]Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang:
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CoRR abs/2405.18428 (2024) - [i4]Xuenian Wang, Shanshan Shi, Renao Yan, Qiehe Sun, Lianghui Zhu, Tian Guan, Yonghong He:
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification. CoRR abs/2406.00672 (2024) - [i3]Mingxi Ouyang, Yuqiu Fu, Renao Yan, Shanshan Shi, Xitong Ling, Lianghui Zhu, Yonghong He, Tian Guan:
MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification. CoRR abs/2408.12825 (2024) - 2023
- [i2]Lianghui Zhu, Yingyue Li, Jiemin Fang, Yan Liu, Hao Xin, Wenyu Liu, Xinggang Wang:
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation. CoRR abs/2304.01184 (2023) - [i1]Lianghui Zhu, Xinggang Wang, Xinlong Wang:
JudgeLM: Fine-tuned Large Language Models are Scalable Judges. CoRR abs/2310.17631 (2023)
Coauthor Index
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