Publications

Zhe Li, Yuchen Li, Jinxi Xiang, Xiyue Wang, Sen Yang, Xiaoming Zhang, Feyisope Eweje, Yijiang Chen, Xiangde Luo, Yuanyuan Li, Jonathan Mulholland, Colin Bergstrom, Ted Kim, Francesca Maria Olguin, Sierra Willens, Jeffrey J. Nirschl, Robert West, Joel Neal, Maximilian Diehn, Ruijiang Li (2026). AI-enabled virtual spatial proteomics from histopathology for interpretable biomarker discovery in lung cancer. Nat Med.

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Jinxi Xiang, Xiyue Wang, Xiaoming Zhang, Yinghua Xi, Feyisope Eweje, Yijiang Chen, Yuchen Li, Colin Bergstrom, Matthew Gopaulchan, Ted Kim, Kun-Hsing Yu, Sierra Willens, Francesca Maria Olguin, Jeffrey J. Nirschl, Joel Neal, Maximilian Diehn, Sen Yang, Ruijiang Li (2025). A Vision–language Foundation Model for Precision Oncology. Nature.

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Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Wei Yang (2024). VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. In ICLR 2024.

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Jinxi Xiang, Kuan Tian, Jun Zhang, Xiao Han, Wei Yang (2023). MIMT: Masked Image Modeling Transformer for Video Compression. In ICLR 2023 (spotlight).

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Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Xiao Han, Wei Yang (2023). Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification. In ICLR 2023.

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Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu (2023). Automatic Diagnosis and Grading of Prostate Cancer with Weakly Supervised Learning on Whole Slide Images. CIBM.

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Jinxi Xiang, Yonggui Dong, Yunjie Yang (2021). FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging. TMI.

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Jinxi Xiang, Yonggui Dong, Yunjie Yang (2020). Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning. TMI.

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