Deep Semantic Dictionary Learning for Multi-label Image Classification. - Fengtao Zhou; Sheng Huang 001; Yun Xing (AAAI, 2021)

Generally Boosting Few-Shot Learning with HandCrafted Features. - Yi Zhang 113; Sheng Huang 001; Fengtao Zhou (ACM Multimedia, 2021)

Fusing hypergraph spectral features for shilling attack detection. - Hao Li; Min Gao 001; Fengtao Zhou; Yueyang Wang; Qilin Fan; Linda Yang 002 (J. Inf. Secur. Appl., 2021)

Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. - Jiazhi Xu; Sheng Huang 001; Fengtao Zhou; Luwen Huangfu; Daniel Zeng 001; Bo Liu 005 (IJCAI, 2022)

Multi-Label Image Classification via Category Prototype Compositional Learning. - Fengtao Zhou; Sheng Huang 001; Bo Liu 005; Dan Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification. - Wenhao Tang; Sheng Huang 001; Xiaoxian Zhang; Fengtao Zhou; Yi Zhang 113; Bo Liu 005 (ICCV, 2023)

Cross-Modal Translation and Alignment for Survival Analysis. - Fengtao Zhou; Hao Chen 011 (ICCV, 2023)

Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology. - Wenhao Tang; Fengtao Zhou; Sheng Huang 001; Xiang Zhu; Yi Zhang 113; Bo Liu 005 (CVPR, 2024)

Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts. - Andong Tan; Fengtao Zhou; Hao Chen 011 (ECCV (86), 2024)

Post-hoc Part-Prototype Networks. - Andong Tan; Fengtao Zhou; Hao Chen 011 (ICML, 2024)

iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. - Fengtao Zhou; Yingxue Xu; Yanfen Cui; Shenyan Zhang; Yun Zhu; Weiyang He; Jiguang Wang; Xin Wang; Ronald Chan; Louis Ho Shing Lau; Chu Han; Dafu Zhang; et al. (CoRR, 2024)

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions. - Huajun Zhou; Fengtao Zhou; Chenyu Zhao; Yingxue Xu; Luyang Luo; Hao Chen 011 (CoRR, 2024)

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model. - Yingxue Xu; Yihui Wang 002; Fengtao Zhou; Jiabo Ma; Shu Yang 004; Huangjing Lin; Xin Wang; Jiguang Wang; Li Liang; Anjia Han; Ronald Cheong Kin Chan; Hao Chen 011 (CoRR, 2024)

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation. - Jiabo Ma; Zhengrui Guo; Fengtao Zhou; Yihui Wang 002; Yingxue Xu; Yu Cai 005; Zhengjie Zhu; Cheng Jin 003; Yi Lin 009; Xinrui Jiang; Anjia Han; Li Liang; et al. (CoRR, 2024)

Distilled Prompt Learning for Incomplete Multimodal Survival Prediction. - Yingxue Xu; Fengtao Zhou; Chenyu Zhao; Yihui Wang 002; Can Yang; Hao Chen 011 (CVPR, 2025)

Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis. - Huajun Zhou; Fengtao Zhou; Hao Chen 011 (IEEE Trans. Medical Imaging, 2025)

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology. - Jiabo Ma; Yingxue Xu; Fengtao Zhou; Yihui Wang 002; Cheng Jin 003; Zhengrui Guo; Jianfeng Wu; On Ki Tang; Huajun Zhou; Xi Wang 013; Luyang Luo; Zhengyu Zhang; et al. (CoRR, 2025)

Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology. - Wenhao Tang; Rong Qin; Heng Fang; Fengtao Zhou; Hao Chen; Xiang Li 041; Ming-Ming Cheng (CoRR, 2025)

Large-scale Self-supervised Video Foundation Model for Intelligent Surgery. - Shu Yang; Fengtao Zhou; Leon Mayer; Fuxiang Huang; Yiliang Chen; Yihui Wang; Sunan He; Yuxiang Nie; Xi Wang; Ömer Sümer; Yueming Jin; Huihui Sun; et al. (CoRR, 2025)

Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images. - Cheng Jin 003; Fengtao Zhou; Yunfang Yu; Jiabo Ma; Yihui Wang 002; Yingxue Xu; Huajun Zhou; Hao Jiang 028; Luyang Luo; Luhui Mao; Zifan He; Xiuming Zhang; et al. (CoRR, 2025)

A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model. - Zhe Xu; Ziyi Liu; Junlin Hou; Jiabo Ma; Cheng Jin; Yihui Wang; Zhixuan Chen; Zhengyu Zhang; Zhengrui Guo; Fengtao Zhou; Yingxue Xu; Xi Wang; et al. (CoRR, 2025)