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Results: 18
Number of items: 18
  • Open Access
    Shen, Y., Bi, Q., Huang, J.-H., Zhu, H., Pimentel, A. D., & Pathania, A. (2025). MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : proceedings of the conference: ACL 2025 : July 27-August 1, 2025 (Vol. 1, pp. 20602–20618). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-long.1006
  • Open Access
    Shen, Y., Bi, Q., Huang, J.-H., Zhu, H., Pimentel, A. D., & Pathania, A. (2025). SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: proceedings of the conference: NAACL 2025 : April 29-May 4, 2025 (Vol. 1, pp. 10400–10415). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.naacl-long.522
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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: February 25-March 4, 2025, Philadelphia, Pennsylvania, USA (Vol. 23, pp. 24123-24131). AAAI Press. https://doi.org/10.1609/aaai.v39i23.34587
  • Open Access
    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
  • Open Access
    Huang, J.-H., Yang, C.-C., Shen, Y., Pacces, A. M., & Kanoulas, E. (2024). Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 4554-4562). Association for Computing Machinery. https://doi.org/10.1145/3627673.3680025
  • Open Access
    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.
  • Open Access
    Wu, T.-W., Huang, J.-H., Lin, J., & Worring, M. (2023). Expert-defined Keywords Improve Interpretability of Retinal Image Captioning. In Proceedings, 2023 IEEE Winter Conference on Applications of Computer Vision: 3-7 January 2023, Waikoloa, Hawaii (pp. 1859-1868). (WACV; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/WACV56688.2023.00190
  • Huang, J.-H., Yang, C.-H. H., Chen, P.-Y., Brown, A., & Worring, M. (2022). Causal video summarizer for video exploration. In ICME 2022 : conference proceedings: IEEE International Conference on Multimedia and Expo 2022 (pp. 349-354). IEEE. https://doi.org/10.1109/ICME52920.2022.9859948
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