{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T05:06:33Z","timestamp":1765343193201,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62471266, 62006131, 62071260"],"award-info":[{"award-number":["62471266, 62006131, 62071260"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of Zhejiang Province","award":["LQ21F020009, LGF21F020008, LQ22F020020"],"award-info":[{"award-number":["LQ21F020009, LGF21F020008, LQ22F020020"]}]},{"name":"Ningbo Major Research and Development Plan Project","award":["No.2023Z225"],"award-info":[{"award-number":["No.2023Z225"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755193","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:37:21Z","timestamp":1761377841000},"page":"3779-3787","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Clustering-Based Tail-class Mitigation for New-class Discovery"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5229-7252","authenticated-orcid":false,"given":"Zelei","family":"Wu","sequence":"first","affiliation":[{"name":"Ningbo University, Ningbo, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0353-4748","authenticated-orcid":false,"given":"Xulun","family":"Ye","sequence":"additional","affiliation":[{"name":"Ningbo University, Ningbo, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1013-557X","authenticated-orcid":false,"given":"Jieyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Ningbo University, Ningbo, China"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1108\/IJICC-03-2021-0053"},{"key":"e_1_3_2_2_2_1","volume-title":"Levine (Eds.)","volume":"36","author":"Bai Jianhong","year":"2023","unstructured":"Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, YANG FENG, Jian Wu, and Haoji Hu. 2023. Towards Distribution-Agnostic Generalized Category Discovery. In Advances in Neural Information Processing Systems, A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (Eds.), Vol. 36. Curran Associates, Inc., 58625--58647. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/b7216f4a324864e1f592c18de4d83d10-Paper-Conference.pdf"},{"key":"e_1_3_2_2_3_1","volume-title":"Open-World Semi-Supervised Learning. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=O-r8LOR-CCA","author":"Cao Kaidi","year":"2022","unstructured":"Kaidi Cao, Maria Brbic, and Jure Leskovec. 2022. Open-World Semi-Supervised Learning. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=O-r8LOR-CCA"},{"key":"e_1_3_2_2_4_1","volume-title":"Open-World Semi-Supervised Learning. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=O-r8LOR-CCA","author":"Cao Kaidi","year":"2022","unstructured":"Kaidi Cao, Maria Brbic, and Jure Leskovec. 2022. Open-World Semi-Supervised Learning. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=O-r8LOR-CCA"},{"key":"e_1_3_2_2_5_1","volume-title":"International conference on machine learning. PMLR, 1597--1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02179"},{"key":"e_1_3_2_2_7_1","volume-title":"Mutual-support generalized category discovery. Information Fusion","author":"Duan Yu","year":"2025","unstructured":"Yu Duan, Zhanxuan Hu, Rong Wang, Zhensheng Sun, Feiping Nie, and Xuelong Li. 2025. Mutual-support generalized category discovery. Information Fusion (2025), 103020."},{"key":"e_1_3_2_2_8_1","volume-title":"Robust semi-supervised learning when not all classes have labels. Advances in neural information processing systems 35","author":"Guo Lan-Zhe","year":"2022","unstructured":"Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, and Yu-Feng Li. 2022. Robust semi-supervised learning when not all classes have labels. Advances in neural information processing systems 35 (2022), 3305--3317."},{"key":"e_1_3_2_2_9_1","volume-title":"Deep clustering by semantic contrastive learning. arXiv preprint arXiv:2103.02662","author":"Huang Jiabo","year":"2021","unstructured":"Jiabo Huang and Shaogang Gong. 2021. Deep clustering by semantic contrastive learning. arXiv preprint arXiv:2103.02662 (2021)."},{"key":"e_1_3_2_2_10_1","volume-title":"Wortman Vaughan (Eds.)","volume":"34","author":"Huang Zhuo","year":"2021","unstructured":"Zhuo Huang, Chao Xue, Bo Han, Jian Yang, and Chen Gong. 2021. Universal Semi-Supervised Learning. In Advances in Neural Information Processing Systems, M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan (Eds.), Vol. 34. Curran Associates, Inc., 26714--26725. https:\/\/proceedings.neurips. cc\/paper_files\/paper\/2021\/file\/e06f967fb0d355592be4e7674fa31d26-Paper.pdf"},{"key":"e_1_3_2_2_11_1","unstructured":"Alex Krizhevsky Geoffrey Hinton et al. 2009. Learning multiple layers of features from tiny images. (2009)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17037"},{"key":"e_1_3_2_2_13_1","volume-title":"Open-world barely-supervised learning via augmented pseudo labels. Electronic Research Archive 32, 10","author":"Li Zhongnian","year":"2024","unstructured":"Zhongnian Li, Yanyan Ding, Meng Wei, and Xinzheng Xu. 2024. Open-world barely-supervised learning via augmented pseudo labels. Electronic Research Archive 32, 10 (2024)."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/445"},{"key":"e_1_3_2_2_15_1","volume-title":"DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery. In The Thirteenth International Conference on Learning Representations.","author":"Liu Yuanpei","year":"2025","unstructured":"Yuanpei Liu and Kai Han. 2025. DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery. In The Thirteenth International Conference on Learning Representations."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01598"},{"key":"e_1_3_2_2_17_1","volume-title":"Advances in Neural Information Processing Systems","author":"Niu Shengjie","year":"2024","unstructured":"Shengjie Niu, Lifan Lin, Jian Huang, and ChaoWang. 2024. OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning. In Advances in Neural Information Processing Systems, A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, and C. Zhang (Eds.), Vol. 37. Curran Associates, Inc., 99836--99866. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/file\/b4fd162d3e2d015233486a2e313828a7-Paper-Conference.pdf"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00260"},{"key":"e_1_3_2_2_19_1","volume-title":"Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference. arXiv preprint arXiv:2405.20829","author":"Park Seongheon","year":"2024","unstructured":"Seongheon Park, Hyuk Kwon, Kwanghoon Sohn, and Kibok Lee. 2024. Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference. arXiv preprint arXiv:2405.20829 (2024)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00732"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2025.3544405"},{"key":"e_1_3_2_2_22_1","unstructured":"Sarah Rastegar Hazel Doughty and Cees Snoek. 2023. Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery. In Thirty seventh Conference on Neural Information Processing Systems. https:\/\/openreview. net\/forum?id=m0vfXMrLwF"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19821-2_22"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19821-2_25"},{"key":"e_1_3_2_2_25_1","volume-title":"Long-tail learning with foundation model: Heavy fine-tuning hurts. arXiv preprint arXiv:2309.10019","author":"Shi Jiang-Xin","year":"2023","unstructured":"Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, and Yu-Feng Li. 2023. Long-tail learning with foundation model: Heavy fine-tuning hurts. arXiv preprint arXiv:2309.10019 (2023)."},{"key":"e_1_3_2_2_26_1","volume-title":"Alexey Kurakin, and Chun-Liang Li.","author":"Sohn Kihyuk","year":"2020","unstructured":"Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin A Raffel, Ekin Dogus Cubuk, Alexey Kurakin, and Chun-Liang Li. 2020. Fixmatch: Simplifying semi-supervised learning with consistency and confidence. Advances in neural information processing systems 33 (2020), 596--608."},{"key":"e_1_3_2_2_27_1","volume-title":"Opencon: Open-world contrastive learning. arXiv preprint arXiv:2208.02764","author":"Sun Yiyou","year":"2022","unstructured":"Yiyou Sun and Yixuan Li. 2022. Opencon: Open-world contrastive learning. arXiv preprint arXiv:2208.02764 (2022)."},{"key":"e_1_3_2_2_28_1","volume-title":"Levine (Eds.)","volume":"36","author":"Sun Yiyou","year":"2023","unstructured":"Yiyou Sun, Zhenmei Shi, and Yixuan Li. 2023. A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. In Advances in Neural Information Processing Systems, A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (Eds.), Vol. 36. Curran Associates, Inc., 23934--23967. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/4b6898c70d5b328deaf2216aefd8f77a-Paper-Conference.pdf"},{"key":"e_1_3_2_2_29_1","volume-title":"A graph-theoretic framework for understanding open-world semi-supervised learning. Advances in Neural Information Processing Systems 36","author":"Sun Yiyou","year":"2024","unstructured":"Yiyou Sun, Zhenmei Shi, and Yixuan Li. 2024. A graph-theoretic framework for understanding open-world semi-supervised learning. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_2_30_1","volume-title":"Clustering-friendly representation learning via instance discrimination and feature decorrelation. arXiv preprint arXiv:2106.00131","author":"Tao Yaling","year":"2021","unstructured":"Yaling Tao, Kentaro Takagi, and Kouta Nakata. 2021. Clustering-friendly representation learning via instance discrimination and feature decorrelation. arXiv preprint arXiv:2106.00131 (2021)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_16"},{"key":"e_1_3_2_2_32_1","volume-title":"Levine (Eds.)","volume":"36","author":"Vaze Sagar","year":"2023","unstructured":"Sagar Vaze, Andrea Vedaldi, and Andrew Zisserman. 2023. No Representation Rules Them All in Category Discovery. In Advances in Neural Information Processing Systems, A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (Eds.), Vol. 36. Curran Associates, Inc., 19962--19989. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/3f52ab4322e967efd312c38a68d07f01-Paper-Conference.pdf"},{"key":"e_1_3_2_2_33_1","first-page":"19015","article-title":"Discover and align taxonomic context priors for open-world semi-supervised learning","volume":"36","author":"Wang Yu","year":"2023","unstructured":"Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, and Jie Chen. 2023. Discover and align taxonomic context priors for open-world semi-supervised learning. Advances in Neural Information Processing Systems 36 (2023), 19015--19028.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_34_1","volume-title":"Discover and align taxonomic context priors for open-world semi-supervised learning. Advances in Neural Information Processing Systems 36","author":"Wang Yu","year":"2024","unstructured":"Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, and Jie Chen. 2024. Discover and align taxonomic context priors for open-world semi-supervised learning. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01521"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02177"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00337"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2024.112305"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01753"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01524"},{"key":"e_1_3_2_2_41_1","volume-title":"Deep robust clustering by contrastive learning. arXiv preprint arXiv:2008.03030","author":"Zhong Huasong","year":"2020","unstructured":"Huasong Zhong, Chong Chen, Zhongming Jin, and Xian-Sheng Hua. 2020. Deep robust clustering by contrastive learning. arXiv preprint arXiv:2008.03030 (2020)."}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T05:03:20Z","timestamp":1765343000000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":41,"alternative-id":["10.1145\/3746027.3755193","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755193","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}