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Journal Articles
- 2022
[j2]Fengtao Zhou, Sheng Huang
, Bo Liu, Dan Yang:
Multi-Label Image Classification via Category Prototype Compositional Learning. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4513-4525 (2022)- 2021
- [j1]Hao Li, Min Gao, Fengtao Zhou, Yueyang Wang, Qilin Fan, Linda Yang:
Fusing hypergraph spectral features for shilling attack detection. J. Inf. Secur. Appl. 63: 103051 (2021)
Conference and Workshop Papers
- 2024
- [c7]Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu:
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology. CVPR 2024: 11343-11352 - [c6]Andong Tan, Fengtao Zhou, Hao Chen:
Post-hoc Part-Prototype Networks. ICML 2024 - 2023
- [c5]Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu:
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification. ICCV 2023: 4055-4064 - [c4]Fengtao Zhou, Hao Chen:
Cross-Modal Translation and Alignment for Survival Analysis. ICCV 2023: 21428-21437 - 2022
- [c3]Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu:
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. IJCAI 2022: 1495-1501 - 2021
- [c2]Fengtao Zhou, Sheng Huang, Yun Xing:
Deep Semantic Dictionary Learning for Multi-label Image Classification. AAAI 2021: 3572-3580 - [c1]Yi Zhang, Sheng Huang, Fengtao Zhou:
Generally Boosting Few-Shot Learning with HandCrafted Features. ACM Multimedia 2021: 3143-3152
Informal and Other Publications
- 2024
- [i12]Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu:
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology. CoRR abs/2402.17228 (2024) - [i11]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:
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer. CoRR abs/2404.01192 (2024) - [i10]Huajun Zhou, Fengtao Zhou, Hao Chen:
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis. CoRR abs/2404.02394 (2024) - [i9]Andong Tan, Fengtao Zhou, Hao Chen:
Post-hoc Part-prototype Networks. CoRR abs/2406.03421 (2024) - [i8]Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen:
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions. CoRR abs/2406.19611 (2024) - [i7]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:
A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model. CoRR abs/2407.15362 (2024) - [i6]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:
Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation. CoRR abs/2407.18449 (2024) - [i5]Andong Tan, Fengtao Zhou, Hao Chen:
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts. CoRR abs/2408.02265 (2024) - 2023
- [i4]Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu:
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification. CoRR abs/2307.15254 (2023) - [i3]Fengtao Zhou, Hao Chen:
Cross-Modal Translation and Alignment for Survival Analysis. CoRR abs/2309.12855 (2023) - 2022
- [i2]Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu:
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation. CoRR abs/2205.10986 (2022) - 2020
- [i1]Fengtao Zhou, Sheng Huang, Yun Xing:
Deep Semantic Dictionary Learning for Multi-label Image Classification. CoRR abs/2012.12509 (2020)
Coauthor Index
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