Fengtao Zhou

According to our database, Fengtao Zhou authored at least 29 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations.

Andong Tan, Shuyu Dai, Jinglu Wang, Fengtao Zhou, Yan Lu, Xi Wang, Yingcong Chen, Can Yang, Shujie Liu, Hao Chen

CoRR, March, 2026

A Deployment-Friendly Foundational Framework for Efficient Computational Pathology.

Yu Cai, Cheng Jin, Jiabo Ma, Fengtao Zhou, Yingxue Xu, Zhengrui Guo, Yihui Wang, Zhengyu Zhang, Ling Liang, Yonghao Tan, Pingcheng Dong, Du Cai, On Ki Tang, Chenglong Zhao, Xi Wang, Can Yang, Yali Xu, Jing Cui, Zhenhui Li, Ronald Cheong Kin Chan, Yueping Liu, Feng Gao, Xiuming Zhang, Li Liang, Hao Chen, Kwang-Ting Cheng

CoRR, February, 2026

Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis.

Wenhao Tang, Sheng Huang, Heng Fang, Fengtao Zhou, Bo Liu, Qingshan Liu

Int. J. Comput. Vis., January, 2026

2025

MambaMIL+: Modeling Long-Term Contextual Patterns for Gigapixel Whole Slide Image.

Qian Zeng, Yihui Wang, Shu Yang, Yingxue Xu, Fengtao Zhou, Jiabo Ma, Dejia Cai, Zhengyu Zhang, Lijuan Qu, Yu Wang, Li Liang, Hao Chen

CoRR, December, 2025

LLM-driven Knowledge Enhancement for Multimodal Cancer Survival Prediction.

Chenyu Zhao, Yingxue Xu, Fengtao Zhou, Yihui Wang, Hao Chen

CoRR, December, 2025

A Clinical-grade Universal Foundation Model for Intraoperative Pathology.

Zihan Zhao, Fengtao Zhou, Ronggang Li, Bing Chu, Xinke Zhang, Xueyi Zheng, Ke Zheng, Xiaobo Wen, Jiabo Ma, Yihui Wang, Jiewei Chen, Chengyou Zheng, Jiangyu Zhang, Yongqin Wen, Jiajia Meng, Ziqi Zeng, Xiaoqing Li, Jing Li, Dan Xie, Yaping Ye, Yu Wang, Hao Chen, Muyan Cai

CoRR, October, 2025

Generative AI for Misalignment-Resistant Virtual Staining to Accelerate Histopathology Workflows.

Jiabo Ma, Wenqiang Li, Jinbang Li, Ziyi Liu, Linshan Wu, Fengtao Zhou, Li Liang, Ronald Cheong Kin Chan, Terence Tsz Wai Wong, Hao Chen

CoRR, September, 2025

A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction.

Huajun Zhou, Fengtao Zhou, Jiabo Ma, Yingxue Xu, Xi Wang, Xiuming Zhang, Li Liang, Zhenhui Li, Hao Chen

CoRR, September, 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, Ronald Cheong Kin Chan, Li Liang, Hao Chen

CoRR, July, 2025

Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images.

Cheng Jin, Fengtao Zhou, Yunfang Yu, Jiabo Ma, Yihui Wang, Yingxue Xu, Huajun Zhou, Hao Jiang, Luyang Luo, Luhui Mao, Zifan He, Xiuming Zhang, Jing Zhang, Ronald Cheong Kin Chan, Herui Yao, Hao Chen

CoRR, June, 2025

Large-scale Self-supervised Video Foundation Model for Intelligent Surgery.

Shu Yang, Fengtao Zhou, Leon D. Mayer, Fuxiang Huang, Yiliang Chen, Yihui Wang, Sunan He, Yuxiang Nie, Xi Wang, Ömer Sümer, Yueming Jin, Huihui Sun, Shuchang Xu, Alex Qinyang Liu, Zheng Li, Jing Qin, Jeremy Yuen-Chun Teoh, Lena Maier-Hein, Hao Chen

CoRR, June, 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, Ming-Ming Cheng

CoRR, June, 2025

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology.

Jiabo Ma, Yingxue Xu, Fengtao Zhou, Yihui Wang, Cheng Jin, Zhengrui Guo, Jianfeng Wu, On Ki Tang, Huajun Zhou, Xi Wang, Luyang Luo, Zhengyu Zhang, Du Cai, Zizhao Gao, Wei Wang, Yueping Liu, Jiankun He, Jing Cui, Zhenhui Li, Jing Zhang, Feng Gao, Xiuming Zhang, Li Liang, Ronald Cheong Kin Chan, Zhe Wang, Hao Chen

CoRR, May, 2025

Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis.

Huajun Zhou, Fengtao Zhou, Hao Chen

IEEE Trans. Medical Imaging, February, 2025

Distilled Prompt Learning for Incomplete Multimodal Survival Prediction.

Yingxue Xu, Fengtao Zhou, Chenyu Zhao, Yihui Wang, Can Yang, Hao Chen

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

2024

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.

Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Li Liang, Ronald Cheong Kin Chan, Jiguang Wang, Kwang-Ting Cheng, Hao Chen

CoRR, 2024

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model.

Yingxue Xu, Yihui Wang, Fengtao Zhou, Jiabo Ma, Shu Yang, Huangjing Lin, Xin Wang, Jiguang Wang, Li Liang, Anjia Han, Ronald Cheong Kin Chan, Hao Chen

CoRR, 2024

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions.

Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen

CoRR, 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, Zhenhui Li, Hao Chen

CoRR, 2024

Post-hoc Part-Prototype Networks.

Andong Tan, Fengtao Zhou, Hao Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts.

Andong Tan, Fengtao Zhou, Hao Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology.

Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Cross-Modal Translation and Alignment for Survival Analysis.

Fengtao Zhou, Hao Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification.

Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Multi-Label Image Classification via Category Prototype Compositional Learning.

Fengtao Zhou, Sheng Huang, Bo Liu, Dan Yang

IEEE Trans. Circuits Syst. Video Technol., 2022

Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation.

Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Fusing hypergraph spectral features for shilling attack detection.

Hao Li, Min Gao, Fengtao Zhou, Yueyang Wang, Qilin Fan, Linda Yang

J. Inf. Secur. Appl., 2021

Generally Boosting Few-Shot Learning with HandCrafted Features.

Yi Zhang, Sheng Huang, Fengtao Zhou

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Deep Semantic Dictionary Learning for Multi-label Image Classification.

Fengtao Zhou, Sheng Huang, Yun Xing

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021