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Yang Liu (刘洋)
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Biography
Yang Liu is currently a Ph.D. student at the University of Electronic Science and Technology of China (UESTC), supervised by Prof. Shi Gu at the Brain and Intelligence Lab. He received his Bachelor's degree in Computer Science and Technology (Big Data) from Xidian University in 2020. He was a research intern at the Medical AI Lab of Alibaba DAMO Academy from September 2025 to March 2026, and at Inclusion AI, Ant Group from June 2025 to September 2025.
News
2026
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One paper is accepted by CVPR 2026 as Highlight (CCF-A)! |
2026
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One paper is accepted by BMC Medicine (JCR Q1)! |
2025
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One paper is accepted by CVPR 2025 (CCF-A)! |
2025
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One paper is accepted by Nature Communications! |
10/2023
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One paper is accepted by MICCAI 2023 (CCF-B)! |
Publications
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BreastGPT: A Multimodal Large Language Model for the Full Spectrum of Breast Cancer Clinical Routine
Yang Liu, Jiajin Zhang, Danyang Tu, Yaojun Hu, Jiao Qu, Jiuyu Zhang, Yu Shi, Wei Fang, Shi Gu, Ling Zhang, Yingda Xia Under Review (NeurIPS 2026), CCF-A [Project Page] [Code] [Dataset] |
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Rounded or Streamlined Head? Bridging Concept Bottleneck Models and Attribute-Described Object Parts
Yang Liu, Jiajin Zhang, Yaojun Hu, ..., Ling Zhang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026), CCF-A, Highlight [Paper (coming soon)] |
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A Multimodal Concept-Based Interpretable Model for Early Breast Cancer Diagnosis and Structured Reporting
Jialu Qu*, Yang Liu*, Mingze Zhang, ..., S. Lui BMC Medicine, JCR Q1 (Student first author) [Paper (coming soon)] |
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Hybrid Concept Bottleneck Models
Yang Liu, Tianwei Zhang, Shi Gu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), CCF-A [Paper] |
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A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data
Yifan Wu*, Yang Liu*, Yue Yang, Michael S. Yao, Wenli Yang, Xuehui Shi, Lihong Yang, Dongjun Li, Yueming Liu, James C. Gee, Xuan Yang, Wenbin Wei, Shi Gu Nature Communications, 2025 (*Equal contribution, Student first author) [Paper] [arXiv] [Code] |
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Co-learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration
Yang Liu, Shi Gu International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), CCF-B [Paper] [arXiv] |
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FunReason-MT Technical Report: Advanced Data Synthesis Solution for Real-world Multi-Turn Tool-use
Zengzhuang Xu*, Bingguang Hao*, Zechuan Wang*, Yuntao Wen*, Maolin Wang*, Yang Liu*, ..., Shi Gu Ant Group Inclusion AI Technical Report (Core Contributor) [arXiv] |
Experiences
09/2025 - 03/2026
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Research intern at Medical AI Lab, Alibaba DAMO Academy. Worked on multimodal medical large models and fine-grained concept grounding. |
06/2025 - 09/2025
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Research intern at Inclusion AI, Ant Group. Focused on data synthesis frameworks for multi-turn tool use in real-world LLM applications. |
12/2022 - present
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Ph.D. student at Brain and Intelligence Lab, UESTC, supervised by Prof. Shi Gu. |
Awards
2022
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Megvii MegCup 2022 Deep Learning Competition, Top-6 |
2021
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First Prize, 12th National College Student Mathematics Competition, Shaanxi Province |