superhy.github.io: A repository from superhy

Welcome to Yang's Personal Pages

Hi, I'm Yang Hu, an Artificial Intelligence Researcher.

2022.1 ~ now, Postdoctoral Research Scientist, Nuffield Department of Medicine, University of Oxford, Oxford, UK

2021.1 ~ 2022.1, Postdoctoral Research Assistant, Department of Engineering Science, University of Oxford, Oxford, UK

2019.10 ~ 2020.10, Research Assistant, Web Science Institute, University of Southampton, Southampton, UK

2016.9 ~ 2020.12, PhD student, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

Xu, Y., Wen, G., Hu, Y., & Yang, P. (2024). Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology. (IF: 8.3)
Shi, Y., Yang, K., Wang, M., Yu, Z., Zeng, H., & Hu, Y. (2024). Boosted unsupervised feature selection for tumor gene expression profiles. CAAI Transactions on Intelligence Technology. (IF: 8.4)

Bonnaffé, W., Group, C. R. U. K., Hamdy, F., Hu, Y., Mills, I., Rittscher, J., ... & Woodcock, D. J. (2023). Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models. arXiv preprint arXiv:2309.03925.
Hu, Y., Sirinukunwattana, K., Li, B., Gaitskell, K., Bonnaffe, W., Wojciechowska, M., ... & Rittscher, J. (2023). Flexible and Highly-Efficient Feature Perception for Molecular Traits Prediction via Self-interactive Deep Learning. medRxiv, 2023-07.

Dai, D., Yu, Z., Huang, W., Hu, Y., & Chen, C. P. (2022). Multi-Objective Cluster Ensemble Based on Filter Refinement Scheme. IEEE Transactions on Knowledge and Data Engineering (TKDE). (IF: 9.235)
Hu, Y., Sirinukunwattana, K., Gaitskell, K., Wood, T., Verrill C., Rittscher, J. (2022). Predicting molecular traits from tissue morphology through self-interactive multi-instance learning[C]. MICCAI'22; LNCS, 2022.
Hu, Y., Chapman, A., Wen, G., & Hall, D. W. (2022). What Can Knowledge Bring to Machine Learning?—A Survey of Low-shot Learning for Structured Data[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 13(3), 1-45. (IF: 10.489) pdf

Xu, Y., Wen, G., Yang, P., Fan, B., Hu, Y., Luo, M., & Wang, C. (2021). Task-Coupling Elastic Learning for Physical Sign-based Medical Image Classification[J]. IEEE Journal of Biomedical and Health Informatics (JBHI), 26(2), 626-637. (IF: 7.021)
Hu, Y., Wen, G., Luo, M., Dai, D., Cao, W., Yu, Z., & Hall, W. (2021). Inner-Imaging Networks: Put Lenses Into Convolutional Structure[J]. IEEE Transactions on Cybernetics (TCYB). (IF: 19.118) pdf
Hu, Y., Wen, G., Luo, M., Yang, P., Dai, D., Yu, Z., ... & Hall, W. (2021). Fully-Channel Regional Attention Network for Disease-Location Recognition with Tongue Images[J]. Artificial Intelligence in Medicine (AIIM), 102110. (IF: 7.011) pdf
Hu, Y., Wen, G., Chapman, A., Yang, P., Luo, M., Xu, Y., ... & Hall, W. (2021). Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition[J]. IEEE Transactions on Multimedia (TMM). (IF: 8.182) pdf
Xu, Y., Wen, G., Hu, Y., Luo, M., Dai, D., Zhuang, Y., & Hall, W. (2021). Multiple attentional pyramid networks for Chinese herbal recognition[J]. Pattern Recognition (PR), 110, 107558. (IF: 8.518)

Luo, M., Wen, G., Hu, Y., Dai, D., & Ma, J. (2020). Learning competitive channel-wise attention in residual network with masked regularization and signal boosting[J]. Expert Systems with Applications (ESWA), 160, 113591. (IF: 8.665)
Luo, M., Wen, G., Hu, Y., Dai, D., & Xu, Y. (2020). Stochastic region pooling: Make attention more expressive[J]. Neurocomputing, 409, 119-130. (IF: 5.779)
Liang, H., Wen, G., Hu, Y., Luo, M., Yang, P., & Xu, Y. (2020). MVANet: Multi-Tasks Guided Multi-View Attention Network for Chinese Food Recognition[J]. IEEE Transactions on Multimedia (TMM). (IF: 8.182)
Wen, G., Ma, J., Hu, Y., Li, H., & Jiang, L. (2020). Grouping attributes zero-shot learning for tongue constitution recognition[J]. Artificial Intelligence in Medicine (AIIM), 109, 101951. (IF: 7.011)

Liao, H., Wen, G., Hu, Y., & Wang, C. (2019). Convolutional herbal prescription building method from multi-scale facial features[J]. Multimedia Tools and Applications, 78(24), 35665-35688. (IF: 2.577)
Hu, Y., Wen, G., Liao, H., Wang, C., Dai, D., & Yu, Z. (2019). Automatic construction of chinese herbal prescriptions from tongue images using CNNs and auxiliary latent therapy topics[J]. IEEE transactions on cybernetics (TCYB). (IF: 19.118)

Hu, Y., Wen, G., Ma, J., Li, D., Wang, C., Li, H., & Huan, E. (2018). Label-indicator morpheme growth on LSTM for Chinese healthcare question department classification[J]. Journal of biomedical informatics (JBI), 82, 154-168. (IF: 8)

Address: Big Data Institute, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK

Google Scholar: Yang Hu

LinkedIn: Yang Hu