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20042026

Research activity per year

Personal profile

Personal profile

Dr Ying Weng is Professor, Computer Science Course Director in School of Computer Science at University of Nottingham Ningbo. Before joining as Assistant Professor at Bangor University, UK in 2011, she worked on the International Standardisation in the British Broadcasting Corporation, London, UK; Postdoctoral research at Imperial College, London, UK; the European Framework Programme-6 Project coordinated by Fraunhofer Institute, Germany; the China Major State Research Development Programme 973 Project in the Chinese Academy of Sciences, Beijing, China. She Received PhD in Signal & Information Processing from the Chinese Academy of Sciences, Beijing, China in 2005.

Expertise Summary

AI/Machine Learning; Big Data in Image/Video Processing; Computer Vision; Brain Machine Interface; IoT & QoS in Wireless Networks; Multimedia Forensics.

Professional membership

Fellow HEA (Higher Education Academy)

Teaching

I have taught and developed courses at undergraduate and postgraduate levels:

Machine Learning

Big Data 

Person Types

  • Staff

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Collaborations and top research areas from the last five years

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  • Distribution-Based Masked Medical Vision-Language Model Using Structured Reports

    Gowda, S. N., Zhang, R., Gu, X., Weng, Y. & Yang, L., 2026, Interpretability of Machine Intelligence in Medical Image Computing - 8th International Workshop, iMIMIC 2025, Held in Conjunction with MICCAI 2025, Proceedings. Reyes, M., Henriques Abreu, P. & Cardoso, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 1-11 11 p. (Lecture Notes in Computer Science; vol. 16464 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Empathy-Driven Virtual Reality for ADHD: Integrating Emotional Support into Child-Computer Interaction

    Weng, Y. & Chen, Z., 2026, Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026. Institute of Electrical and Electronics Engineers Inc., p. 1303-1304 2 p. (Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

  • Patch-Level Glioblastoma Subregion Classification with a Contrastive Learning-Based Encoder

    Zhang, J., Zhong, Q., Weng, Y. & Chen, K., Apr 2026, Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries - MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Bakas, S., Dennis, E., Astaraki, M., Baid, U., Conte, G. M., Foltyn-Dumitru, M., Jiang, Z., Linguraru, M. G., Labella, D., Metz, M.-C., Anazodo, U., de Verdier, M. C., Kofler, F., Li, H. B. & Maleki, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 193-202 10 p. (Lecture Notes in Computer Science; vol. 16377 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Open Access
  • Purifying medical images with generative adversarial networks

    Zhang, J., Weng, Y., Wang, B., Huang, R. & Qiu, G., 7 Oct 2026, In: Neurocomputing. 697, 133970.

    Research output: Journal PublicationArticlepeer-review

    Open Access
  • Robust 3D Brain MRI Inpainting with Random Masking Augmentation

    Zhang, J., Weng, Y. & CHEN, K., 2026, Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries - MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Bakas, S., Dennis, E., Astaraki, M., Baid, U., Conte, G. M., Foltyn-Dumitru, M., Jiang, Z., Linguraru, M. G., Labella, D., Metz, M.-C., Anazodo, U., de Verdier, M. C., Kofler, F., Li, H. B. & Maleki, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 102-109 8 p. (Lecture Notes in Computer Science; vol. 16377 LNCS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review