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Dive into the research topics where Haokun LIN is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
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Research output
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DOGR: Towards Versatile Visual Document Grounding and Referring
Zhou, Y. (Co-first Author), Chen, Y. (Co-first Author), Lin, H., Wu, Y., Yang, S., Qi, Z., Ma, C. & Zhu, L., 19 Oct 2025, (Online published) Proceedings of the 2025 IEEE/CVF International Conference on Computer Vision (ICCV). p. 3596-3606Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
Image-level Memorization Detection via Inversion-based Inference Perturbation
Jiang, Y. (Co-first Author), Lin, H. (Co-first Author), Bai, Y., Peng, B., Liu, Z., Lyu, Y., Yang, Y., Zheng, X. & Dong, J., Apr 2025, 13th International Conference on Learning Representations (ICLR 2025). International Conference on Learning Representations, ICLR, p. 90485-90504 (ICLR Proceedings).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
Scale Up Composed Image Retrieval Learning via Modification Text Generation
Zhou, Y., Wang, Y., Lin, H., Ma, C., Zhu, L. & Zheng, Z., 2025, In: IEEE Transactions on Multimedia. 27, p. 7510-7521Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Link opens in a new tab Citation (Scopus) -
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
Lin, H. (Co-first Author), Xu, H. (Co-first Author), Wu, Y. (Co-first Author), Cui, J., Zhang, Y., Mou, L., Song, L., Sun, Z. & Wei, Y., Dec 2024, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Globerson, A., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). 35 p. (Advances in Neural Information Processing Systems).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access33 Link opens in a new tab Citations (Scopus) -
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
Liu, R., Bai, H., Lin, H., Li, Y., Gao, H., Xu, Z., Hou, L., Yao, J. & Yuan, C., Aug 2024, Findings of the Association for Computational Linguistics: ACL 2024. Association for Computational Linguistics, p. 7716–7741Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open AccessFile59 Downloads (CityUHK Scholars)