{"id":28930,"date":"2025-03-13T16:07:27","date_gmt":"2025-03-13T07:07:27","guid":{"rendered":"https:\/\/www.waseda.jp\/fsci\/gips\/?p=28930"},"modified":"2026-02-12T15:11:54","modified_gmt":"2026-02-12T06:11:54","slug":"%e5%8f%97%e8%b3%9e%e5%a0%b1%e5%91%8a-2019%e5%b9%b412%e6%9c%88-2-2-2-2-2-2-2-2-2-2-2-3-2-2-3","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/fsci\/gips\/news\/2025\/03\/13\/28930\/","title":{"rendered":"\u53d7\u8cde\u5831\u544a 2025\u5e743\u6708"},"content":{"rendered":"<p style=\"text-align: right;\"><strong><a href=\"https:\/\/www.waseda.jp\/fsci\/gips\/tag\/award\/\">\u203b \u53d7\u8cde\u5831\u544a\u4e00\u89a7\u306f\u3053\u3061\u3089<\/a><\/strong><\/p>\n<h3>\u53d7\u8cde<\/h3>\n<ul>\n<li>\u6c0f\u540d : \u5c71\u5ca1\u3000\u6d38\u745b\uff08\u6771\u4eac\u5927\u5b66\u52a9\u6559\uff09\u3001\u5c0f\u91ce\u3000\u9806\u8cb4\uff08\u6771\u4eac\u90fd\u7acb\u5927\u5b66\u6559\u6388\uff09\u3001\u7267\u91ce\u3000\u662d\u4e8c\u3000\uff08\u65e9\u7a32\u7530\u5927\u5b66\u60c5\u5831\u751f\u7523\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u79d1\u6559\u6388\uff09<\/li>\n<li>\u8cde\u540d : Young Author Best Paper Award<\/li>\n<li>\u6a5f\u95a2 : IEEE Signal Processing Society Japan<\/li>\n<li>\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb\uff1aTime-Frequency-Bin-Wise Linear Combination of Beamformers for Distortionless Signal Enhancement<\/li>\n<li>\u63b2\u8f09\u8ad6\u6587\u8a8c\uff1aIEEE\/ACM Transactions on Audio, Speech, and Language Processing ( Volume: 29), pp. 3461 &#8211; 3475, 2021<\/li>\n<li>\u53d7\u8cde\u65e5 : 2024\u5e7412\u670831\u65e5<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29383\" src=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bbf400a152440a21796cb895a8bf9dfd-610x863.jpg\" alt=\"\" width=\"227\" height=\"321\" srcset=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bbf400a152440a21796cb895a8bf9dfd-610x863.jpg 610w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bbf400a152440a21796cb895a8bf9dfd-940x1329.jpg 940w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bbf400a152440a21796cb895a8bf9dfd-768x1086.jpg 768w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bbf400a152440a21796cb895a8bf9dfd-1086x1536.jpg 1086w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bbf400a152440a21796cb895a8bf9dfd.jpg 1190w\" sizes=\"auto, (max-width: 227px) 100vw, 227px\" \/><\/p>\n<h3>\u53d7\u8cde<\/h3>\n<ul>\n<li>\u6c0f\u540d : \u674e\u3000\u8389\u3000\uff08\u682a\u5f0f\u4f1a\u793e\u30b5\u30a4\u30d0\u30fc\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\uff09\u3001\u4e80\u5ca1\u3000\u5f18\u548c\u3000\uff08NTT\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u79d1\u5b66\u57fa\u790e\u7814\u7a76\u6240\uff09\u3001\u7267\u91ce\u3000\u662d\u4e8c\uff08\u65e9\u7a32\u7530\u5927\u5b66\u60c5\u5831\u751f\u7523\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u79d1\uff09<\/li>\n<li>\u8cde\u540d : Young Author Best Paper Award<\/li>\n<li>\u6a5f\u95a2 : IEEE Signal Processing Society Japan<\/li>\n<li>\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb\uff1aFastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures<\/li>\n<li>\u63b2\u8f09\u8ad6\u6587\u8a8c\uff1aIEEE\/ACM Transactions on Audio, Speech, and Language Processing ( Volume: 31), pp. 96 &#8211; 110, 2022<\/li>\n<li>\u53d7\u8cde\u65e5 : 2024\u5e7412\u670831\u65e5<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29385\" src=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ddef3458ed34474bcdf1f9ff3bfe7996-610x863.jpg\" alt=\"\" width=\"213\" height=\"301\" srcset=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ddef3458ed34474bcdf1f9ff3bfe7996-610x863.jpg 610w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ddef3458ed34474bcdf1f9ff3bfe7996-940x1330.jpg 940w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ddef3458ed34474bcdf1f9ff3bfe7996-768x1087.jpg 768w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ddef3458ed34474bcdf1f9ff3bfe7996-1085x1536.jpg 1085w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ddef3458ed34474bcdf1f9ff3bfe7996.jpg 1190w\" sizes=\"auto, (max-width: 213px) 100vw, 213px\" \/><\/p>\n<h3>\u53d7\u8cde<\/h3>\n<ul>\n<li>\u6c0f\u540d : HE, Xin\uff08\u535a\u58eb\u5f8c\u671f\u8ab2\u7a0b\uff14\u5e74\uff0c\u677e\u4e38\u7814\u7a76\u5ba4\uff09<\/li>\n<li>\u8cde\u540d : 2024\u5e74 IEEE\u798f\u5ca1\u652f\u90e8 \u5b66\u751f\u7814\u7a76\u5968\u52b1\u8cde\uff08\u7b2c24\u56de\uff09<\/li>\n<li>\u6a5f\u95a2 : IEEE\u798f\u5ca1\u652f\u90e8<\/li>\n<li>\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb\uff1aFrom Seeing to Recognising &#8211; An Extended Self-Organizing Map for Human Postures Identification<\/li>\n<li>\u63b2\u8f09\u8ad6\u6587\u8a8c\uff1aIEEE Robotics and Automation Letters, vol. 9, no. 9, pp. 7899-7906<\/li>\n<li>\u53d7\u8cde\u65e5 : 2025\u5e742\u6708<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29254\" src=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/HEXin_IEEE_Certificate-610x431.jpg\" alt=\"\" width=\"309\" height=\"218\" srcset=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/HEXin_IEEE_Certificate-610x431.jpg 610w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/HEXin_IEEE_Certificate-940x664.jpg 940w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/HEXin_IEEE_Certificate-768x543.jpg 768w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/HEXin_IEEE_Certificate-1536x1085.jpg 1536w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/HEXin_IEEE_Certificate.jpg 1684w\" sizes=\"auto, (max-width: 309px) 100vw, 309px\" \/><\/p>\n<h3>\u53d7\u8cde<\/h3>\n<ul>\n<li>\u6c0f\u540d:\u4e0a\u7530\u3000\u54f2\u4e5f (\u535a\u58eb\u5f8c\u671f\u8ab2\u7a0b3\u5e74\uff0c\u7267\u91ce\u7814\u7a76\u5ba4)<\/li>\n<li>\u8cde\u540d: 2024\u5e74 IEEE\u798f\u5ca1\u652f\u90e8 \u5b66\u751f\u7814\u7a76\u5968\u52b1\u8cde\uff08\u7b2c24\u56de\uff09<\/li>\n<li>\u6a5f\u95a2: \u798f\u5ca1\u652f\u90e8<\/li>\n<li>\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb\uff1aBlind and Spatially-Regularized Online Joint Optimization of Source Separation, Dereverberation, and Noise Reduction<\/li>\n<li>\u63b2\u8f09\u8ad6\u6587\u8a8c: IEEE\/ACM Trans. Audio, Speech and Language Processing, vol.32, pp. 1157\u20131172<\/li>\n<li>\u53d7\u8cde\u65e5: 2025\u5e742\u6708<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-29305\" src=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bf11f55a19f69b3cd739006523491e64-610x431.jpg\" sizes=\"auto, (max-width: 302px) 100vw, 302px\" srcset=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bf11f55a19f69b3cd739006523491e64-610x431.jpg 610w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bf11f55a19f69b3cd739006523491e64-940x664.jpg 940w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bf11f55a19f69b3cd739006523491e64-768x543.jpg 768w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bf11f55a19f69b3cd739006523491e64-1536x1085.jpg 1536w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/bf11f55a19f69b3cd739006523491e64.jpg 1684w\" alt=\"\" width=\"302\" height=\"213\" \/><\/p>\n<h3>\u53d7\u8cde<\/h3>\n<ul>\n<li>\u6c0f\u540d : \u738b\u3000\u4e00\u5875\uff08\u535a\u58eb\u8ab2\u7a0b\uff16\u5e74\uff0c\u7acb\u91ce\u7814\u7a76\u5ba4\uff09<\/li>\n<li>\u8cde\u540d : Best Presentation Award<\/li>\n<li>\u6a5f\u95a2 : Information Communication and Signal Processing<\/li>\n<li>\u4f1a\u8b70\uff1a2024 7th International Conference on Information Communication and Signal Processin (ICICSP2024)<\/li>\n<li>\u53d7\u8cde\u65e5 : 2024\u5e749\u670823\u65e5<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-28931\" src=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ec237c56f8c46d7b5fca8490d8cd653e-e1740898220931-610x431.jpg\" alt=\"\" width=\"324\" height=\"229\" srcset=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ec237c56f8c46d7b5fca8490d8cd653e-e1740898220931-610x431.jpg 610w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ec237c56f8c46d7b5fca8490d8cd653e-e1740898220931-940x664.jpg 940w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ec237c56f8c46d7b5fca8490d8cd653e-e1740898220931-768x543.jpg 768w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ec237c56f8c46d7b5fca8490d8cd653e-e1740898220931-1536x1086.jpg 1536w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/ec237c56f8c46d7b5fca8490d8cd653e-e1740898220931.jpg 1596w\" sizes=\"auto, (max-width: 324px) 100vw, 324px\" \/><\/p>\n<h3>\u53d7\u8cde<\/h3>\n<ul>\n<li>\u6c0f\u540d : \u738b\u3000\u4e00\u5875\uff08\u535a\u58eb\u8ab2\u7a0b\uff16\u5e74\uff0c\u7acb\u91ce\u7814\u7a76\u5ba4\uff09<\/li>\n<li>\u8cde\u540d : Young Author Award<\/li>\n<li>\u6a5f\u95a2 :Artificial Life and Robotics<\/li>\n<li>\u4f1a\u8b70\uff1a<span data-teams=\"true\">AROB-ISBC 2025<\/span><\/li>\n<li>\u53d7\u8cde\u65e5 : 2025\u5e741\u670824\u65e5<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-28934\" src=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/05ba6313bcdaf0293dbe893942165b7e-e1740899059186-610x845.jpg\" alt=\"\" width=\"249\" height=\"344\" srcset=\"https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/05ba6313bcdaf0293dbe893942165b7e-e1740899059186-610x845.jpg 610w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/05ba6313bcdaf0293dbe893942165b7e-e1740899059186-940x1301.jpg 940w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/05ba6313bcdaf0293dbe893942165b7e-e1740899059186-768x1063.jpg 768w, https:\/\/www.waseda.jp\/fsci\/gips\/assets\/uploads\/2025\/03\/05ba6313bcdaf0293dbe893942165b7e-e1740899059186.jpg 1074w\" sizes=\"auto, (max-width: 249px) 100vw, 249px\" \/><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u203b \u53d7\u8cde\u5831\u544a\u4e00\u89a7\u306f\u3053\u3061\u3089 \u53d7\u8cde \u6c0f\u540d : \u5c71\u5ca1\u3000\u6d38\u745b\uff08\u6771\u4eac\u5927\u5b66\u52a9\u6559\uff09\u3001\u5c0f\u91ce\u3000\u9806\u8cb4\uff08\u6771\u4eac\u90fd\u7acb\u5927\u5b66\u6559\u6388\uff09\u3001\u7267\u91ce\u3000\u662d\u4e8c\u3000\uff08\u65e9\u7a32\u7530\u5927\u5b66\u60c5\u5831\u751f\u7523\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u79d1\u6559\u6388\uff09 \u8cde\u540d : Young Author Best Paper Awa [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":26949,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[26,120],"class_list":["post-28930","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-general","tag-award"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/posts\/28930","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/comments?post=28930"}],"version-history":[{"count":1,"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/posts\/28930\/revisions"}],"predecessor-version":[{"id":33734,"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/posts\/28930\/revisions\/33734"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/media\/26949"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/media?parent=28930"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/categories?post=28930"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/fsci\/gips\/wp-json\/wp\/v2\/tags?post=28930"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}