{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:05Z","timestamp":1750309565152,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:00:00Z","timestamp":1740096000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Young Innovative Talents Project of Department of Education of Guangdong Province","award":["2024KQNCX023"],"award-info":[{"award-number":["2024KQNCX023"]}]},{"name":"Zhaoqing University Institutional Project","award":["FW202401, and QN202346"],"award-info":[{"award-number":["FW202401, and QN202346"]}]},{"name":"Zhaoqing University Quality Project and Teaching Reform Program","award":["zlgc2024026"],"award-info":[{"award-number":["zlgc2024026"]}]},{"name":"Zhaoqing City Science and Technology Innovation Guidance Project","award":["241212154168613"],"award-info":[{"award-number":["241212154168613"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,2,21]]},"DOI":"10.1145\/3728199.3728201","type":"proceedings-article","created":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T16:35:44Z","timestamp":1748450144000},"page":"7-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fuzzy Knowledge Distillation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4950-7075","authenticated-orcid":false,"given":"Chuanbin","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Software, Zhaoqing University, Zhaoqing, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2368-134X","authenticated-orcid":false,"given":"Kai","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor, Malaysia"},{"name":"School of Computer Science and Software, Zhaoqing University, Zhaoqing, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2536-2830","authenticated-orcid":false,"given":"Jianbin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Software, Zhaoqing University, Zhaoqing, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3470-4239","authenticated-orcid":false,"given":"Qiqiao","family":"He","sequence":"additional","affiliation":[{"name":"School of Computer Science and Artificial Intelligence, Foshan University, Foshan, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5490-6248","authenticated-orcid":false,"given":"Hongbo","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Software, Zhaoqing University, Zhaoqing, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9831-712X","authenticated-orcid":false,"given":"Zhenghao","family":"Liang","sequence":"additional","affiliation":[{"name":"College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, Guangdong, China"}]}],"member":"320","published-online":{"date-parts":[[2025,5,28]]},"reference":[{"key":"e_1_3_3_1_1_2","unstructured":"Geoffrey Hinton Oriol Vinyals and Jeff Dean. 2015. Distilling the Knowledge in a Neural Network. arXiv:1503.02531."},{"key":"e_1_3_3_1_2_2","volume-title":"Proceedings of the International Conference on Representation Learning.1-13","author":"Romero Adriana","year":"2014","unstructured":"Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio. 2014. FitNets: Hints for Thin Deep Nets. In Proceedings of the International Conference on Representation Learning.1-13."},{"key":"e_1_3_3_1_3_2","volume-title":"Proceedings of the International Conference on Learning Representations.","author":"Zagoruyko Sergey","year":"2017","unstructured":"Sergey Zagoruyko and Nikos Komodakis. 2017. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. In Proceedings of the International Conference on Learning Representations."},{"key":"e_1_3_3_1_4_2","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 4320\u20134328","author":"Zhang Ying","year":"2018","unstructured":"Ying Zhang, Tao Xiang, Timothy M. Hospedales, and Huchuan Lu. 2018. Deep Mutual Learning. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 4320\u20134328."},{"key":"e_1_3_3_1_5_2","volume-title":"Proceedings of the Asian Conference on Computer Vision.","author":"Li Zheng","year":"2020","unstructured":"Zheng Li, Ying Huang, Defang Chen, Tianren Luo, Ning Cai, and Zhigeng Pan. 2020. Online Knowledge Distillation via Multi-branch Diversity Enhancement. In Proceedings of the Asian Conference on Computer Vision."},{"key":"e_1_3_3_1_6_2","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision andPattern Recognition. 10664\u201310673","author":"Ji Mingi","year":"2021","unstructured":"Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, and Il-Chul Moon. 2021. Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. In Proceedings of the IEEE\/CVF Conference on Computer Vision andPattern Recognition. 10664\u201310673."},{"key":"e_1_3_3_1_7_2","volume-title":"Dual Teachers for Self-Knowledge Distillation. Pattern Recognition 151 (July","author":"Li Zheng","year":"2024","unstructured":"Zheng Li, Xiang Li, Lingfeng Yang, Renjie Song, Jian Yang, and Zhigeng Pan. 2024. Dual Teachers for Self-Knowledge Distillation. Pattern Recognition 151 (July 2024), 110422."},{"key":"e_1_3_3_1_8_2","first-page":"7","article-title":"Multi-Target Knowledge Distillation via Student Self-reflection","volume":"131","author":"Gou Jianping","year":"2023","unstructured":"Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, and Dacheng Tao. 2023. Multi-Target Knowledge Distillation via Student Self-reflection. International Journal of Computer Vision, 131, 7 (July 2023), 1857\u20131874.","journal-title":"International Journal of Computer Vision"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","first-page":"1968","DOI":"10.1109\/TMM.2021.3074273","article-title":"Extended Feature Pyramid Network for Small Object Detection","volume":"24","author":"Deng Chunfang","year":"2022","unstructured":"Chunfang Deng, Mengmeng Wang, Liang Liu, Yong Liu, and Yunliang Jiang. 2022. Extended Feature Pyramid Network for Small Object Detection. IEEE Transactions on Multimedia 24 (2022), 1968\u20131979.","journal-title":"IEEE Transactions on Multimedia"},{"key":"e_1_3_3_1_10_2","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 16296\u201316305","author":"Chen Liqun","year":"2021","unstructured":"Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, and Lawrence Carin. 2021. Wasserstein Contrastive Representation Distillation. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 16296\u201316305."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16865"},{"key":"e_1_3_3_1_12_2","article-title":"Collaborative Knowledge Distillation via Multiknowledge Transfer","volume":"35","author":"Gou Jianping","year":"2024","unstructured":"Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, and Dacheng Tao. 2024. Collaborative Knowledge Distillation via Multiknowledge Transfer. IEEE Transactions on Neural Networks and Learning Systems 35, 5(May 2024), 6718\u20136730.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"volume-title":"Multi-Teachers Distillation Strategy for Target-Oriented Collision-Free Grasping in Clutter","author":"Du Wei","key":"e_1_3_3_1_13_2","unstructured":"Wei Du, Shaodong Li, Guangyu Xiang, Fang Gao, and Feng Shuang. 2024. Multi-Teachers Distillation Strategy for Target-Oriented Collision-Free Grasping in Clutter. IEEE Robotics and Automation Letters."},{"key":"e_1_3_3_1_14_2","first-page":"4","article-title":"MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition","volume":"43","author":"Gui Shuangchun","year":"2024","unstructured":"Shuangchun Gui, Zhenkun Wang, Jixiang Chen, Xun Zhou, Chen Zhang, and Yi Cao. 2024. MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition. IEEE Transactions on Medical Imaging 43, 4 (April 2024), 1628\u20131639.","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"e_1_3_3_1_15_2","first-page":"3","article-title":"Graph Enhanced Fuzzy Clustering for Categorical Data Using a Bayesian Dissimilarity Measure","volume":"31","author":"Zhang Chuanbin","year":"2023","unstructured":"Chuanbin Zhang, Long Chen, Yin-Ping Zhao, Yingxu Wang, and C. L. Philip Chen. 2023. Graph Enhanced Fuzzy Clustering for Categorical Data Using a Bayesian Dissimilarity Measure. IEEE Transactions on Fuzzy Systems 31, 3 (March 2023), 810\u2013824.","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"e_1_3_3_1_16_2","unstructured":"Zehao Huang and Naiyan Wang. 2017. Like What You Like: Knowledge Distill via Neuron Selectivity Transfer. arXiv:1707.01219"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00409"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00145"},{"key":"e_1_3_3_1_19_2","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 9163\u20139171","author":"Ahn Sungsoo","year":"2019","unstructured":"Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, and Zhenwen Dai. 2019. Variational Information Distillation for Knowledge Transfer. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 9163\u20139171."}],"event":{"name":"CNML 2025: 2025 3rd International Conference on Communication Networks and Machine Learning","acronym":"CNML 2025","location":"Nanjing China"},"container-title":["Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3728199.3728201","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3728199.3728201","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:19:06Z","timestamp":1750295946000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3728199.3728201"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,21]]},"references-count":19,"alternative-id":["10.1145\/3728199.3728201","10.1145\/3728199"],"URL":"https:\/\/doi.org\/10.1145\/3728199.3728201","relation":{},"subject":[],"published":{"date-parts":[[2025,2,21]]},"assertion":[{"value":"2025-05-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}