{"id":234,"date":"2021-09-20T21:41:29","date_gmt":"2021-09-21T01:41:29","guid":{"rendered":"https:\/\/sites.nd.edu\/xiangliang-zhang\/?page_id=234"},"modified":"2022-10-20T14:04:59","modified_gmt":"2022-10-20T18:04:59","slug":"multi-label-and-multi-view-learning","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/xiangliang-zhang\/multi-label-and-multi-view-learning\/","title":{"rendered":"Multi-label, Multi-view Learning"},"content":{"rendered":"\n<p class=\"has-medium-font-size wp-block-paragraph\">This is a collection of our recent publications that address the challenging <strong>multi-label <\/strong>classification problem, the <strong>attackability<\/strong> of <strong>multi-label<\/strong> learning, and the <strong>information fusion in multi-view<\/strong> learning.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Xiaochuan Gou, Xiangliang Zhang. Telecommunication Traffic Forecasting via Multi-task Learning. ACM International Conference on Web Search and Data Mining (<strong><a href=\"https:\/\/www.wsdm-conference.org\/2023\/\" data-type=\"URL\" data-id=\"https:\/\/www.wsdm-conference.org\/2023\/\">WSDM 2023<\/a><\/strong>). Singapore February 27 to March 3, 2023.<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Lin Xiao, Xiangliang Zhang, Chi Huang, Mingyang Song and Liping Jing. Does Head Label Help for Long-Tailed Multi-Label Text Classification. In the proceedings of\u00a0<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-21\/\">the Thirty-Fifth AAAI Conference on Artificial Intelligence (<strong>AAAI<\/strong> 2021)<\/a>\u00a0\u00a0(acceptance rate of 21%, 1692\/7911).<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Zhuo Yang, Yufei Han and Xiangliang Zhang. Attack Transferability Characterization for Adversarially Robust Multi-label Classification. Accepted by&nbsp;<a href=\"https:\/\/2021.ecmlpkdd.org\/\"><strong>ECML\/PKDD<\/strong> 2021.<\/a>&nbsp;Virtual Conference. Aug 13-17, 2021. (Acceptance Rate = 147\/685 = 21%)<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Zhuo Yang, Yufei Han, and Xiangliang Zhang. Characterizing the Evasion Attackability of Multi-label Classifiers. The <a href=\"https:\/\/aaai.org\/Conferences\/AAAI-21\/\">Thirty-Fifth AAAI Conference on Artificial Intelligence (<strong>AAAI<\/strong>&nbsp;2021)<\/a>&nbsp; (acceptance rate of 21%, 1692\/7911)<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang. Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. &nbsp;<a href=\"https:\/\/www.siam.org\/conferences\/cm\/conference\/sdm21\">SIAM Conference on Data Mining (<strong>SDM<\/strong>)<\/a>, Virtual Conference, April 29 \u2013 May 1, 2021 (acceptance rate of 21%, 85\/400).<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang,&nbsp;\u201cMultiview Multi-Instance Multilabel Active Learning\u201d. &nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=5962385\">IEEE Transactions on Neural Networks and Learning Systems&nbsp;(<strong>TNNLS<\/strong>)<\/a>,&nbsp;2021.\u200b DOI:&nbsp;<a rel=\"noreferrer noopener\" target=\"_blank\" href=\"https:\/\/doi.org\/10.1109\/tnnls.2021.3056436\">10.1109\/TNNLS.2021.3056436<\/a><\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang.&nbsp;CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples. &nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=69\">IEEE Transactions on Knowledge and Data Engineering (<strong>TKDE<\/strong><\/a>)\u200b,&nbsp;2021. Early Access: <a rel=\"noreferrer noopener\" target=\"_blank\" href=\"https:\/\/doi.org\/10.1109\/TKDE.2020.3003899\">10.1109\/TKDE.2020.3003899<\/a><\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Yingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang, \u201cPartial Multi-Label Learning using Label Compression\u201d. Accepted by&nbsp;<a href=\"http:\/\/icdm2020.bigke.org\/\">the 20th IEEE International Conference on Data Mining (<strong>ICDM<\/strong> 2020)<\/a>, November 17-20, 2020, Sorrento, Italy. (Regular paper) (Acceptance rate = 91 (regular) &nbsp;\/ 930 submissions = 9.8%).\u200b<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang, \u201cDeep Incomplete Multi-View Multiple Clusterings\u201d. Accepted by&nbsp;<a href=\"http:\/\/icdm2020.bigke.org\/\">the 20th IEEE International Conference on Data Mining (<strong>ICDM<\/strong> 2020)<\/a>, November 17-20, 2020, Sorrento, Italy. (Regular paper) (Acceptance rate = 91 (regular) &nbsp;\/ 930 submissions = 9.8%).<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. Multi-type Objects Multi-view Multi-instance Multi-label Learning. Accepted&nbsp;<a href=\"http:\/\/icdm2020.bigke.org\/\">by the 20th IEEE International Conference on Data Mining (<strong>ICDM <\/strong>2020)<\/a>, November 17-20, 2020, Sorrento, Italy. (short paper) (Acceptance rate = (91 (regular) + 92 (short)) \/ 930 submissions = 19.7%).\u200b<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Uchenna Akujuobi, Han Yufei,&nbsp;Qiannan Zhang, Xiangliang Zhang.&nbsp;Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification.&nbsp;In the Proceedings of&nbsp;&nbsp;<a href=\"http:\/\/icdm2019.bigke.org\/\">19th IEEE International Conference on Data Mining&nbsp;(<strong>ICDM<\/strong> 2019)<\/a>,&nbsp;November 8-11, 2019,&nbsp;Beijing, China&nbsp;(Regular paper,&nbsp;Acceptance rate= 95\/1046 =&nbsp;9.08%).\u200b&nbsp;\u200b (paper at&nbsp;<a href=\"https:\/\/arxiv.org\/abs\/1910.09706\">arXiv\u200b<\/a>)<\/li><\/ul>\n\n\n\n<ul class=\"wp-block-list\"><li>Yufei Han, Yun Shen,&nbsp;Guolei Sun&nbsp;and&nbsp;Xiangliang Zhang:&nbsp;Multi-label Learning with Highly Incomplete Data via Collaborative Embedding. In Proceedings of the&nbsp;<a href=\"http:\/\/www.kdd.org\/kdd2018\/\">24th&nbsp;SIGKDD Conference on Knowledge Discovery and Data Mining (<strong>KDD<\/strong> 2018)\u200b<\/a>,&nbsp;pp.&nbsp;1494-1503,&nbsp;London, UK,&nbsp;August 19 \u2013 23,&nbsp;2018&nbsp;&nbsp;(long presentation,&nbsp;acceptance rate=&nbsp;107\/&nbsp;983&nbsp;=10.9%)(overall acceptance rate=18.4%)[<a href=\"https:\/\/drive.google.com\/file\/d\/10fvwG2miY5TuNn-n0otWRH0DhqdlKiXv\/view?usp=sharing\">PDF<\/a><a href=\"https:\/\/mine.kaust.edu.sa\/Documents\/papers\/walkranker_camera_ID749.pdf\">\u200b<\/a><a href=\"https:\/\/mine.kaust.edu.sa\/Documents\/papers\/wraaaiv5.pdf\">\u200b<\/a>][Bib][<a href=\"https:\/\/drive.google.com\/file\/d\/16eZlw8G4r0HxP2Rm1C8O7ZknfLSZ3-tS\/view?usp=sharing\">Slides\u200b<\/a>].\u200b<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>This is a collection of our recent publications that address the challenging multi-label classification problem, the attackability of multi-label learning, and the information fusion in multi-view learning. Xiaochuan Gou, Xiangliang Zhang. Telecommunication Traffic Forecasting via Multi-task Learning. ACM International Conference on Web Search and Data Mining (WSDM 2023). Singapore February 27 to March 3, 2023. [&hellip;]<\/p>\n","protected":false},"author":4036,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-234","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/pages\/234","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/users\/4036"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/comments?post=234"}],"version-history":[{"count":10,"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/pages\/234\/revisions"}],"predecessor-version":[{"id":518,"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/pages\/234\/revisions\/518"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/xiangliang-zhang\/wp-json\/wp\/v2\/media?parent=234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}