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Mingxi Fu

◀ ▶ joint publications with Jiawen Li 0005

> Home > Persons > Mingxi Fu

Publications

2026
[c1]
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  - conf/isbi/LingLLFCPOWHLZG26
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  - https://dblp.org/rec/conf/isbi/LingLLFCPOWHLZG26
Xitong Ling, Xiaoxiao Li, Jiawen Li, Mingxi Fu, Yuxuan Chen, Jing Peng, Minxi Ouyang, Yizhi Wang, Yonghong He, Xiaoping Liu, Lianghui Zhu, Tian Guan:
Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis. ISBI 2026: 1-5
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  - journals/corr/abs-2602-03887
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  - https://dblp.org/rec/journals/corr/abs-2602-03887
Weiming Chen, Xitong Ling, Xidong Wang, Zhenyang Cai, Yijia Guo, Mingxi Fu, Ziyi Zeng, Minxi Ouyang, Jiawen Li, Yizhi Wang, Tian Guan, Benyou Wang, Yonghong He:
To What Extent Do Token-Level Representations from Pathology Foundation Models Improve Dense Prediction? CoRR abs/2602.03887 (2026)
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  - journals/corr/abs-2606-07590
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Mingyi He, Xinyi Guo, Xitong Ling, Weiming Chen, Jiawen Li, Lianghui Zhu, Minxi Ouyang, Mingxi Fu, Yizhi Wang, Tian Guan:
SlideCheck: Guiding Self-Supervised Pretraining of Pathology Foundation Models via Dataset Distributions. CoRR abs/2606.07590 (2026)
[i5]
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  - journals/corr/abs-2607-09526
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  - https://dblp.org/rec/journals/corr/abs-2607-09526
Jiawen Li, Tian Guan, Huijuan Shi, Xitong Ling, Mingxi Fu, Anjia Han, Chao He, Yonghong He:
ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts. CoRR abs/2607.09526 (2026)
[i4]
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  - journals/corr/abs-2607-14703
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Mingxi Fu, Jiawen Li, Renao Yan, Jiali Hu, Qiehe Sun, Tian Guan, Yonghong He:
Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models. CoRR abs/2607.14703 (2026)
2025
[i2]
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  - journals/corr/abs-2508-05382
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Mingxi Fu, Xitong Ling, Yuxuan Chen, Jiawen Li, Fanglei Fu, Huaitian Yuan, Tian Guan, Yonghong He, Lianghui Zhu:
Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis. CoRR abs/2508.05382 (2025)

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last updated on 2026-08-09 23:34 CEST by the dblp team

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