| 2025 | ICLR | Ensembling Diffusion Models via Adaptive Feature Aggregation. | Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu, Jun Zhang |
| 2025 | SiggraphA | LLM-Primitives: Large Language Model for 3D Reconstruction with Primitives. | Kuan Tian, Zhihao Hu, Yonghang Guan, Jun Zhang |
| 2023 | ICLR | MIMT: Masked Image Modeling Transformer for Video Compression. | Jinxi Xiang, Kuan Tian, Jun Zhang |
| 2022 | CVPR | Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. | Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han |
| 2020 | MICCAI | Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. | Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han |
| 2020 | MICCAI | Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. | Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han |
| 2016 | ICPR | Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model. | Yunan Li, Qiguang Miao, Kuan Tian, Yingying Fan, Xin Xu, Rui Li, Jianfeng Song |