| 2025 | ICCV | Bridging Local Inductive Bias and Long-Range Dependencies With Pixel-Mamba for End-To-End Whole Slide Image Analysis. | Zhongwei Qiu, Hanqing Chao, Tiancheng Lin, Wanxing Chang, Zijiang Yang, Wenpei Jiao, Yixuan Shen, Yunshuo Zhang, Yelin Yang, Wenbin Liu, Hui Jiang, Yun Bian, Ke Yan, Dakai Jin, Le Lu |
| 2023 | CVPR | Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images. | Tiancheng Lin, Zhimiao Yu, Hongyu Hu, Yi Xu, Chang Wen Chen |
| 2023 | ICIP | Background Clustering Pre-Training for Few-Shot Segmentation. | Zhimiao Yu, Tiancheng Lin, Yi Xu |
| 2023 | MICCAI | SLPD: Slide-Level Prototypical Distillation for WSIs. | Zhimiao Yu, Tiancheng Lin, Yi Xu |
| 2022 | AAAI | Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. | Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu |
| 2022 | BMVC | Anatomy-Aware Self-Supervised Learning for Aligned Multi-Modal Medical Data. | Hongyu Hu, Tiancheng Lin, Yuanfan Guo, Chunxiao Li, Rong Wu, Yi Xu |
| 2022 | ICASSP | Solving The Long-Tailed Problem Via Intra- And Inter-Category Balance. | Renhui Zhang, Tiancheng Lin, Rui Zhang, Yi Xu |
| 2021 | ICCS | Real-Time Object Detection for Smart Connected Worker in 3D Printing. | Shijie Bian, Tiancheng Lin, Chen Li, Yongwei Fu, Mengrui Jiang, Tongzi Wu, Xiyi Hang, Bingbing Li |
| 2021 | MICCAI | SSLP: Spatial Guided Self-supervised Learning on Pathological Images. | Jiajun Li, Tiancheng Lin, Yi Xu |
| 2020 | MICCAI | MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. | Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni |