TU Wien Informatics

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Chang Qi

Projektass.in / MSc

Chang Qi

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  • Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty / Xu, Z., Xu, W., Wang, R., Chen, J., Qi, C., & Lukasiewicz, T. (2025). Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty. IEEE Transactions on Neural Networks and Learning Systems, 36(2), 2206–2220. https://doi.org/10.1109/TNNLS.2023.3343391
  • Benchmarking Predictive Coding Networks - Made Simple / Pinchetti, L., Qi, C., Lokshyn, O., Emde, C., M’Charrak, A., Tang, M., Simon, F., Menzat, B. I., Oliviers, G., Bogacz, R., Lukasiewicz, T., & Salvatori, T. (2025). Benchmarking Predictive Coding Networks - Made Simple. In The Thirteenth International Conference on Learning Representations,{ICLR} 2025, Singapore, April 24-28, 2025. Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore. http://hdl.handle.net/20.500.12708/223683
  • Cross-domain attention-guided generative data augmentation for medical image analysis with limited data / Xu, Z., Tang, J., Qi, C., Yao, D., Liu, C., Zhan, Y., & Lukasiewicz, T. (2024). Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Computers in Biology and Medicine, 168, Article 107744. https://doi.org/10.1016/J.COMPBIOMED.2023.107744