| 2026 | AAAI | FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus. | Qiaoqiao Jin, Siming Fu, Dong She, Weinan Jia, Hualiang Wang, Mu Liu, Jidong Jiang |
| 2025 | CVPR | MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation. | Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li |
| 2025 | ICCV | Token Activation Map to Visually Explain Multimodal LLMs. | Yi Li, Hualiang Wang, Xinpeng Ding, Haonan Wang, Xiaomeng Li |
| 2025 | INDIN | Exploration of Teaching Reform in the Course of Intelligent Prediction in the Information Age. | Jian Ma, Yujie Cheng, Hualiang Wang, Hongmei Liu, Laifa Tao, Chen Lu |
| 2025 | MICCAI | Cross-View Generalized Diffusion Model for Sparse-View CT Reconstruction. | Jixiang Chen, Yiqun Lin, Yi Qin, Hualiang Wang, Xiaomeng Li |
| 2025 | MICCAI | VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction. | Lehan Wang, Hualiang Wang, Chubin Ou, Lushi Chen, Yunyi Liang, Xiaomeng Li |
| 2025 | MICCAI | MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization. | Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li, Junzhi Ning, Lihao Liu, Hongqiu Wang, Lei Zhu, Jiyao Liu, Xiaomeng Li, Junjun He |
| 2024 | AAAI | Robustness-Guided Image Synthesis for Data-Free Quantization. | Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu |
| 2024 | CVPR | C | Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li |
| 2024 | ICASSP | Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. | Chenyi Zhou, Hualiang Wang, Xiaomeng Li, Wanlu Liu, Zuozhu Liu |
| 2024 | MICCAI | HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis. | Xinpeng Ding, Yongqiang Chu, Renjie Pi, Hualiang Wang, Xiaomeng Li |
| 2024 | MICCAI | FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning. | Chenyi Hong, Hualiang Wang, Zhuoxuan Wu, Zuozhu Liu, Junhui Lv |
| 2024 | MICCAI | Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction. | Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li |
| 2024 | MICCAI | Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images. | Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li |
| 2023 | ICCV | CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. | Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li |
| 2023 | ICLR | On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. | Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu |
| 2023 | MICCAI | Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. | Marawan Elbatel, Hualiang Wang, Robert Mart, Huazhu Fu, Xiaomeng Li |
| 2022 | AAAI | Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. | Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu |
| 2022 | ACCV | Meta-prototype Decoupled Training for Long-Tailed Learning. | Siming Fu, Huanpeng Chu, Xiaoxuan He, Hualiang Wang, Zhenyu Yang, Haoji Hu |
| 2022 | ECCV | Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning. | Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu |
| 2022 | ICIP | Meta-BNS FOR Adversarial Data-Free Quantization. | Siming Fu, Hualiang Wang, Yuchen Cao, Haoji Hu, Bo Peng, Wenming Tan, Tingqun Ye |