| 2026 | AAAI | Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View. | Jianyu Qi, Ding Zou, Wenrui Yan, Rui Ma, Jiaxu Li, Zhijie Zheng, Zhiguo Yang, Rongchang Zhao |
| 2026 | AAAI | Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning. | Hao Zheng, Shiyu Song, Zhigang Hu, Meiguang Zheng, Liu Yang, Aikun Xu, Rongchang Zhao, Ruizhi Pu, Ruiyi Fang, Boyu Wang |
| 2026 | AAAI | HiFC-GAN: Hierarchical Feature-Constrained GAN for Optical-to-SAR Transfer in SAR Target Classification. | Hao Zheng, Meiguang Zheng, Zhigang Hu, Liu Yang, Aikun Xu, Tingxuan Chen, Rongchang Zhao, Boyu Wang |
| 2025 | ICASSP | AIDC: Benchmark for Analytical Learning in Incremental Disease Classification. | Rongchang Zhao, Jianyu Qi, Rui Li, Zhijie Zheng, Jian Zhang, Jiaxu Li |
| 2025 | MICCAI | RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning. | Rongchang Zhao, Zhangyue Wu, Jian Zhang, Zijian Zhang, Shuo Li |
| 2023 | MICCAI | Geometry-Adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders. | Zailiang Chen, Jiang Zhu, Hailan Shen, Hui Liu, Yajing Li, Rongchang Zhao, Feiyang Yu |
| 2020 | ECCV | Improving Knowledge Distillation via Category Structure. | Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao |
| 2020 | ECCV | EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis. | Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li |
| 2019 | AAAI | Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. | Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li |
| 2019 | MICCAI | Multi-index Optic Disc Quantification via MultiTask Ensemble Learning. | Rongchang Zhao, Zailiang Chen, Xiyao Liu, Beiji Zou, Shuo Li |