| 2026 | ACL | InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning. | Junyou Su, He Zhu, Xiao Luo, Liyu Zhang, Hong-Yu Zhou, Yun Chen, Peng Li, Yang Liu, Guanhua Chen |
| 2025 | AAAI | ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation. | Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang, Oishi Banerjee, Julin N. Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar |
| 2025 | ICCV | No More Sibling Rivalry: Debiasing Human-Object Interaction Detection. | Bin Yang, Yulin Zhang, Hong-Yu Zhou, Sibei Yang |
| 2025 | ICLR | MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. | Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou |
| 2025 | MICCAI | BenchReAD: A Systematic Benchmark for Retinal Anomaly Detection. | Chenyu Lian, Hong-Yu Zhou, Zhanli Hu, Jing Qin |
| 2025 | MICCAI | BioVFM-21M: Benchmarking and Scaling Self-supervised Vision Foundation Models for Biomedical Image Analysis. | Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang |
| 2024 | MICCAI | Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation. | Fei Gao, Siwen Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Churan Wang, Gang Yu, Yizhou Yu |
| 2024 | MICCAI | Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. | Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann |
| 2024 | MICCAI | Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. | Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang |
| 2023 | ICCV | Activate and Reject: Towards Safe Domain Generalization under Category Shift. | Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu |
| 2023 | ICLR | Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. | Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu |
| 2023 | ICLR | Advancing Radiograph Representation Learning with Masked Record Modeling. | Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu |
| 2022 | CVPR | Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. | Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang |
| 2022 | MICCAI | ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification. | Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian |
| 2021 | CVPR | Bottom-Up Shift and Reasoning for Referring Image Segmentation. | Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu |
| 2021 | ICCV | Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. | Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu |
| 2020 | MICCAI | A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. | Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng |
| 2020 | MICCAI | Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. | Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng |
| 2020 | MICCAI | Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. | Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng |
| 2019 | MICCAI | Seg4Reg Networks for Automated Spinal Curvature Estimation. | Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng |
| 2018 | IJCAI | Age Estimation Using Expectation of Label Distribution Learning. | Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng |
| 2017 | BMVC | Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. | Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu |
| 2017 | ICCV | Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. | Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu |