{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T04:11:08Z","timestamp":1776399068646,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T00:00:00Z","timestamp":1660435200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Project on Cyber Security and Informatization of Chinese Academy of Sciences","award":["CAS-WX2021PY-0501"],"award-info":[{"award-number":["CAS-WX2021PY-0501"]}]},{"name":"research program of Network Computing Innovation Research Institute","award":["E061010003"],"award-info":[{"award-number":["E061010003"]}]},{"name":"National Science Foundation of China","award":["61902382, 61972381, 62106249, 61902376"],"award-info":[{"award-number":["61902382, 61972381, 62106249, 61902376"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,8,14]]},"DOI":"10.1145\/3534678.3539085","type":"proceedings-article","created":{"date-parts":[[2022,8,12]],"date-time":"2022-08-12T19:06:41Z","timestamp":1660331201000},"page":"3546-3554","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":22,"title":["Packet Representation Learning for Traffic Classification"],"prefix":"10.1145","author":[{"given":"Xuying","family":"Meng","sequence":"first","affiliation":[{"name":"ICT, CAS &amp; Purple Mountain Laboratories, Beijing, China"}]},{"given":"Yequan","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Academy of Artificial Intelligence, Beijing, China"}]},{"given":"Runxin","family":"Ma","sequence":"additional","affiliation":[{"name":"ICT, CAS &amp; UCAS, Beijing, China"}]},{"given":"Haitong","family":"Luo","sequence":"additional","affiliation":[{"name":"ICT, CAS &amp; UCAS, Beijing, China"}]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}]},{"given":"Yujun","family":"Zhang","sequence":"additional","affiliation":[{"name":"ICT, CAS &amp; UCAS, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2022,8,14]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.05.036"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.04.019"},{"key":"e_1_3_2_2_3_1","unstructured":"Philip Bachman R. Devon Hjelm and William Buchwalter. 2019. Learning Representations by Maximizing Mutual Information Across Views. In Neurips. 15509--15519."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2911156"},{"key":"e_1_3_2_2_5_1","volume-title":"NAACL-HLT","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. [n.d.]. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT 2019. 4171--4186."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Raia Hadsell Sumit Chopra and Yann LeCun. 2006. Dimensionality Reduction by Learning an Invariant Mapping. In CVPR. 1735--1742.","DOI":"10.1109\/CVPR.2006.100"},{"key":"e_1_3_2_2_7_1","volume-title":"Automatic Multi-task Learning System for Abnormal Network Traffic Detection. iJET","author":"Huang He","year":"2018","unstructured":"He Huang, Haojiang Deng, Jun Chen, Luchao Han, and Wei Wang. 2018. Automatic Multi-task Learning System for Abnormal Network Traffic Detection. iJET, Vol. 13, 4 (2018), 4--20."},{"key":"e_1_3_2_2_8_1","volume-title":"CoNEXT '20","author":"Hypolite Joel","unstructured":"Joel Hypolite, John Sonchack, Shlomo Hershkop, Nathan Dautenhahn, Andr\u00e9 DeHon, and Jonathan M. Smith. 2020. DeepMatch: practical deep packet inspection in the data plane using network processors. In CoNEXT '20. ACM, 336--350."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2021.04.029"},{"key":"e_1_3_2_2_10_1","unstructured":"Bingyi Kang Yu Li Sa Xie Zehuan Yuan and Jiashi Feng. 2021. Exploring Balanced Feature Spaces for Representation Learning. In ICLR."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification. In EMNLP. 1746--1751.","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_2_12_1","volume-title":"Ross","author":"Kurose James F.","year":"2001","unstructured":"James F. Kurose and Keith W. Ross. 2001. Computer networking - a top-down approach featuring the internet."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Jialu Liu Tianqi Liu and Cong Yu. 2021. NewsEmbed: Modeling News through Pre-trained Document Representations. In KDD. 1076--1086.","DOI":"10.1145\/3447548.3467392"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04030-2"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.04.056"},{"key":"e_1_3_2_2_16_1","first-page":"2602","article-title":"b","volume":"29","author":"Meng Xuying","year":"2021","unstructured":"Xuying Meng, Yequan Wang, Suhang Wang, Di Yao, and Yujun Zhang. 2021 b. Interactive Anomaly Detection in Dynamic Communication Networks. IEEE\/ACM Trans. Netw., Vol. 29, 6 (2021), 2602--2615.","journal-title":"Interactive Anomaly Detection in Dynamic Communication Networks. IEEE\/ACM Trans. Netw."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/4943509"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Guansong Pang Chunhua Shen and Anton van den Hengel. 2019. Deep Anomaly Detection with Deviation Networks. In KDD. 353--362.","DOI":"10.1145\/3292500.3330871"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1800819"},{"key":"e_1_3_2_2_20_1","first-page":"1","article-title":"Encrypted traffic classification of decentralized applications on ethereum using feature fusion","volume":"18","author":"Shen Meng","year":"2019","unstructured":"Meng Shen, Jinpeng Zhang, Liehuang Zhu, Ke Xu, Xiaojiang Du, and Yiting Liu. 2019. Encrypted traffic classification of decentralized applications on ethereum using feature fusion. In IWQoS. 18:1--18:10.","journal-title":"IWQoS."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2737970"},{"key":"e_1_3_2_2_22_1","article-title":"Visualizing data using t-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research, Vol. 9, 11 (2008).","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_23_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is All you Need. In Neurips. 5998--6008."},{"key":"e_1_3_2_2_24_1","first-page":"9929","article-title":"Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere","volume":"119","author":"Wang Tongzhou","year":"2020","unstructured":"Tongzhou Wang and Phillip Isola. 2020. Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. In ICML, Vol. 119. 9929--9939.","journal-title":"ICML"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"crossref","unstructured":"Wei Wang Ming Zhu Jinlin Wang Xuewen Zeng and Zhongzhen Yang. 2017. End-to-end encrypted traffic classification with one-dimensional convolution neural networks. In ISI. 43--48.","DOI":"10.1109\/ISI.2017.8004872"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Yequan Wang Aixin Sun Jialong Han Ying Liu and Xiaoyan Zhu. 2018. Sentiment Analysis by Capsules. In WWW. 1165--1174.","DOI":"10.1145\/3178876.3186015"},{"key":"e_1_3_2_2_27_1","unstructured":"Daochen Zha Kwei-Herng Lai Mingyang Wan and Xia Hu. 2020. Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. In ICDM. 771--780."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Jielun Zhang Fuhao Li Feng Ye and Hongyu Wu. 2020. Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update. In INFOCOM. 397--405.","DOI":"10.1109\/INFOCOM41043.2020.9155292"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Weiyao Zhang Xuying Meng and Yujun Zhang. 2022. Dual-track Protocol Reverse Analysis Based on Share Learning. In INFOCOM.","DOI":"10.1109\/INFOCOM48880.2022.9796964"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Wenbo Zheng Chao Gou Lan Yan and Shaocong Mo. 2020. Learning to Classify: A Flow-Based Relation Network for Encrypted Traffic Classification. In WWW. 13--22.","DOI":"10.1145\/3366423.3380090"},{"key":"e_1_3_2_2_31_1","volume-title":"Graph Contrastive Learning with Adaptive Augmentation. In WWW '21","author":"Zhu Yanqiao","year":"2021","unstructured":"Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, and Liang Wang. 2021. Graph Contrastive Learning with Adaptive Augmentation. In WWW '21. 2069--2080."}],"event":{"name":"KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Washington DC USA","acronym":"KDD '22","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3534678.3539085","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3534678.3539085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:51Z","timestamp":1750183791000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3534678.3539085"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,14]]},"references-count":31,"alternative-id":["10.1145\/3534678.3539085","10.1145\/3534678"],"URL":"https:\/\/doi.org\/10.1145\/3534678.3539085","relation":{},"subject":[],"published":{"date-parts":[[2022,8,14]]},"assertion":[{"value":"2022-08-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}