Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Dive into the research topics where Ying Wen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
Liu, Y., He, L., Wen, Y., Yang, L. & Chen, H., 11 Apr 2025, Special Track on AI Alignment. Walsh, T., Shah, J. & Kolter, Z. (eds.). 18 ed. Association for the Advancement of Artificial Intelligence, p. 19059-19067 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 18).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access4 Link opens in a new tab Scopus citations -
A General Framework for Efficient Medical Image Analysis via Shared Attention Vision Transformer
Liu, Y., Wen, Y., Yang, L., He, L. & Zhou, M., 2025, (Accepted/In press) In: IEEE Transactions on Medical Imaging.Research output: Contribution to journal › Article › peer-review
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InjectionNet: Realizing Information Injection for Medical Image Segmentation with Layer Relationships
Zhu, X., Li, J. F. & Wen, Y., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer Science and Business Media Deutschland GmbH, p. 449-460 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15322 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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M2RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
Li, J., Wen, Y. & He, L., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 5, p. 4743-4751 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access4 Link opens in a new tab Scopus citations -
RadLAS: A Foundation Model for Interpretable Radiography Image Analysis with Lesion-Aware Self-Supervised Pre-training
Liu, Y., Wen, Y., Yang, L., He, L. & Shen, H. T., 27 Oct 2025, MM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025. Association for Computing Machinery, Inc, p. 10847-10856 10 p. (MM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review