| 2026 | AAAI | Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification. | Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng |
| 2025 | AAAI | M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity. | Tianxu Lv, Jie Zhu, Jinyi Liu, Shiyun Nie, Hongnian Tian, Yang Xiao, Yuan Liu, Lihua Li, Xiang Pan |
| 2025 | IJCAI | RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis. | Tianxu Lv, Hongnian Tian, Jiansong Fan, Yuan Liu, Lihua Li, Xiang Pan |
| 2025 | MICCAI | Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement. | Hongnian Tian, Tianxu Lv, Jiansong Fan, Delin Pan, Lihua Li, Xiang Pan |
| 2024 | MICCAI | PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images. | Jiansong Fan, Tianxu Lv, Yicheng Di, Lihua Li, Xiang Pan |
| 2024 | MICCAI | Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI. | Xiang Pan, Shiyun Nie, Tianxu Lv, Lihua Li |
| 2023 | MICCAI | Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI. | Tianxu Lv, Yuan Liu, Kai Miao, Lihua Li, Xiang Pan |
| 2021 | BMVC | Temporal-Spatial Graph Attention Networks for DCE-MRI Breast Tumor Segmentation. | Tianxu Lv, Xiang Pan |