| 2026 | AAAI | ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation. | Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2025 | IJCNN | Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Large Language Models. | Bingshuai Liu, Chenyang Lyu, Zijun Min, Zhanyu Wang, Jinsong Su, Longyue Wang |
| 2025 | SMC | On the Taxonomy, Tasks, and Open-Challenges for Multimodal Large Language Models. | Lecheng Yan, Ruizhe Li, Jiahui Geng, Qing Li, Minghao Wu, Zhanyu Wang, Wenxi Li, Tianbo Ji, Shaochen Jiang, Chenyang Lyu |
| 2024 | MICCAI | MRScore: Evaluating Medical Report with LLM-Based Reward System. | Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2024 | MICCAI | KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. | Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou |
| 2023 | CVPR | METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. | Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2022 | COLING | MICO: Selective Search with Mutual Information Co-training. | Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi |
| 2022 | MICCAI | A Medical Semantic-Assisted Transformer for Radiographic Report Generation. | Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou |
| 2021 | AISTATS | The Sample Complexity of Meta Sparse Regression. | Zhanyu Wang, Jean Honorio |
| 2021 | CVPR | A Self-Boosting Framework for Automated Radiographic Report Generation. | Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li |
| 2017 | ICNC | A hybrid model for blood pressure prediction from a PPG signal based on MIV and GA-BP neural network. | Yue Zhang, Zhanyu Wang |