Huang, J.-H., Shen, Y., Zhu, H., Rudinac, S., & Kanoulas, E. (2025). Gradient Weight-normalized Low-rank Projection for Efficient LLM Training. In T. Walsh, J. Shah, & Z. Kolter (Eds.), Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence: AAAI-25 (Vol. 23, pp. 24123-24131). AAAI Press. https://doi.org/10.1609/aaai.v39i23.34587[details]
Huang, J.-H., Zhu, H., Shen, Y., Rudinac, S., & Kanoulas, E. (2025). Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models. In I. Ide, I. Kompatsiaris, C. Xu, K. Yanai, W.-T. Chu, N. Nitta, M. Riegler, & T. Yamasaki (Eds.), MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025 : proceedings (Vol. IV, pp. 413-427). (Lecture Notes in Computer Science; Vol. 15523). Springer. https://doi.org/10.1007/978-981-96-2071-5_30[details]
Wang, S., Najdenkoska, I., Zhu, H., Rudinac, S., Kackovic, M., Wijnberg, N. M., & Worring, M. (2025). ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding. In MM '25: Proceedings of the 33rd ACM International Conference on Multimedia : October 27-31, 2025, Dublin Ireland (pp. 6700-6709). Association for Computing Machinery. https://doi.org/10.1145/3746027.3755673[details]
Zhu, H., Huang, J.-H., Shen, Y., Rudinac, S., & Kanoulas, E. (2025). Interactive Image Retrieval Meets Query Rewriting with Large Language and Vision Language Models. ACM Transactions on Multimedia Computing Communications and Applications, 21(10), Article 286. https://doi.org/10.1145/3744910[details]
Huang, J.-H., Zhu, H., Shen, Y., Rudinac, S., Pacces, A. M., & Kanoulas, E. (2024). A Novel Evaluation Framework for Image2Text Generation. In C. Siro, M. Aliannejadi, H. A. Rahmani, N. Craswell, C. L. A. Clarke, G. Faggioli, B. Mitra, P. Thomas, & E. Yilmaz (Eds.), Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024): co-located with 10th International Conference on Online Publishing (SIGIR 2024) : Washington D.C., USA, July 18, 2024 (pp. 51-65). Article 4 (CEUR Workshop Proceedings; Vol. 3752). CEUR-WS. [details]
Khan, O. S., Sharma, U., Zhu, H., Rudinac, S., & Jónsson, B. Þ. (2024). Exquisitor at the Lifelog Search Challenge 2024: Blending Conversational Search with User Relevance Feedback. In Proceedings of 2024 ACM Workshop on the Lifelog Search Challenge (LSC'24): 10th June 2024, Phuket, Thailand (pp. 117-121). The Association for Computing Machinery. https://doi.org/10.1145/3643489.3661132[details]
Khan, O. S., Zhu, H., Sharma, U., Kanoulas, E., Rudinac, S., & Jónsson, B. Þ. (2024). Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29-February 2, 2024 : proceedings (Vol. IV, pp. 347–355). (Lecture Notes in Computer Science; Vol. 14557). Springer. https://doi.org/10.1007/978-3-031-53302-0_31[details]
Zhu, H., Huang, J.-H., Rudinac, S., & Kanoulas, E. (2024). Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models. In Proceedings of the 14th Annual ACM International Conference on Multimedia Retrieval (ICMR'24): Phuket, Thailand, June 10-14, 2024 (pp. 978-987). Association for Computing Machinery. https://doi.org/10.1145/3652583.3658032[details]
De UvA gebruikt cookies voor het meten, optimaliseren en goed laten functioneren van de website. Ook worden er cookies geplaatst om inhoud van derden te kunnen tonen en voor marketingdoeleinden. Klik op ‘Accepteren’ om akkoord te gaan met het plaatsen van alle cookies. Of kies voor ‘Weigeren’ om alleen functionele en analytische cookies te accepteren. Je kunt je voorkeur op ieder moment wijzigen door op de link ‘Cookie instellingen’ te klikken die je onderaan iedere pagina vindt. Lees ook het UvA Privacy statement.