Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network. - Jiawen Li 005; Jaehyeon Soon; Qilai Zhang; Qifan Zhang 001; Yonghong He (MMAC@MICCAI, 2023)

The Whole Pathological Slide Classification via Weakly Supervised Learning. - Qiehe Sun; Jiawen Li 005; Jin Xu; Junru Cheng; Tian Guan; Yonghong He (CoRR, 2023)

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation. - Qilai Zhang; Jiawen Li 005; Peiran Liao; Jiali Hu; Tian Guan; Anjia Han; Yonghong He (BIBM, 2024)

Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis. - Jiawen Li 005; Yuxuan Chen; Hongbo Chu; Qiehe Sun; Tian Guan; Anjia Han; Yonghong He (CVPR, 2024)

HIQ: One-Shot Network Quantization for Histopathological Image Classification. - Xinrui Chen 001; Renao Yan; Yizhi Wang; Jiawen Li 005; Junru Cheng; Tian Guan; Yonghong He (ICASSP, 2024)

RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification. - Hongbo Chu; Qiehe Sun; Jiawen Li 005; Yuxuan Chen; Lizhong Zhang; Tian Guan; Anjia Han; Yonghong He (MICCAI (4), 2024)

NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification. - Qiehe Sun; Doukou Jiang; Jiawen Li 005; Renao Yan; Yonghong He; Tian Guan; Zhiqiang Cheng (MIDL, 2024)

Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image. - Jiawen Li 005; Qiehe Sun; Renao Yan; Yizhi Wang; Yuqiu Fu; Yani Wei; Tian Guan; Huijuan Shi; Yonghong He; Anjia Han (CoRR, 2024)

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections. - Xitong Ling; Yuanyuan Lei 004; Jiawen Li 005; Junru Cheng; Wenting Huang; Tian Guan; Jian Guan; Yonghong He (CoRR, 2024)

Unlocking adaptive digital pathology through dynamic feature learning. - Jiawen Li 005; Tian Guan; Qingxin Xia; Yizhi Wang; Xitong Ling; Jing Li; Qiang Huang; Zihan Wang; Zhiyuan Shen; Yifei Ma; Zimo Zhao; Zhe Lei; et al. (CoRR, 2024)

DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists. - Jiawen Li 005; Junru Cheng; Lingqin Meng; Hui Yan; Yonghong He; Huijuan Shi; Tian Guan; Anjia Han (IEEE Trans. Medical Imaging, 2024)

Dynamic hypergraph representation for bone metastasis analysis. - Yuxuan Chen; Jiawen Li 005; Lianghui Zhu; Yang Xu; Tian Guan; Huijuan Shi; Yonghong He; Anjia Han (Comput. Methods Programs Biomed., 2025)

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis. - Yuxuan Chen; Jiawen Li 005; Huijuan Shi; Yang Xu; Tian Guan; Lianghui Zhu; Yonghong He; Anjia Han (CoRR, 2025)

Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models? - Jiawen Li 005; Jiali Hu; Qiehe Sun; Renao Yan; Minxi Ouyang; Tian Guan; Anjia Han; Chao He; Yonghong He (CoRR, 2025)

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis. - Xitong Ling; Yifeng Ping; Jiawen Li 005; Jing Peng; Yuxuan Chen; Minxi Ouyang; Yizhi Wang; Yonghong He; Tian Guan; Xiaoping Liu; Lianghui Zhu (CoRR, 2025)

Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology. - Yuxuan Chen; Jiawen Li 005; Jiali Hu; Xitong Ling; Tian Guan; Anjia Han; Yonghong He (CoRR, 2025)

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks. - Fang Yan 002; Jianfeng Wu; Jiawen Li 005; Wei Wang 057; Jiaxuan Lu; Wen Chen 001; Zizhao Gao; Jianan Li; Hong Yan; Jiabo Ma; Minda Chen; Yang Lu 009; et al. (CoRR, 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 005; Song Duan; Wenbin Dai; Li Zheng; Xuemei Zhang; et al. (CoRR, 2025)

Deformable Attention Graph Representation Learning for Histopathology Whole Slide Image Analysis. - Mingxi Fu; Xitong Ling; Yuxuan Chen; Jiawen Li 005; Fanglei Fu; Huaitian Yuan; Tian Guan; Yonghong He; Lianghui Zhu (CoRR, 2025)