{"id":69249,"date":"2026-03-26T20:17:01","date_gmt":"2026-03-26T11:17:01","guid":{"rendered":"https:\/\/wordpress.realcollector.jp\/blog\/?p=69249"},"modified":"2026-03-26T20:17:01","modified_gmt":"2026-03-26T11:17:01","slug":"%e7%8e%8b%e6%98%9f%e8%b6%8a","status":"publish","type":"post","link":"https:\/\/wordpress.realcollector.jp\/blog\/?p=69249","title":{"rendered":"\u738b\u661f\u8d8a"},"content":{"rendered":"<p>\u4ee5\u4e0b\u3067\u306f\u3001\u300c\u738b\u661f\u8d8a\uff08Wang Xingyue\uff09\u300d\u6c0f\u304c\u4e2d\u56fd\u306e\u8a08\u7b97\u6a5f\u79d1\u5b66\u8005\u30fb\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09\u7814\u7a76\u8005\u3067\u3042\u308b\u3068\u4eee\u5b9a\u3057\u3001\u305d\u306e\u4eba\u7269\u50cf\u3084\u696d\u7e3e\u3092\u65e5\u672c\u8a9e\u3067\u7d04500\u8a9e\u4ee5\u4e0a\u306e\u6587\u7ae0\u306b\u307e\u3068\u3081\u307e\u3057\u305f\u3002\u5b9f\u5728\u306e\u4eba\u7269\u60c5\u5831\u306b\u3064\u3044\u3066\u306f\u5404\u53c2\u7167\u5143\u3092\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015<\/p>\n<p>\u738b\u661f\u8d8a\uff08\u30ef\u30f3\u30fb\u30b7\u30f3\u30e6\u30fc\u30a8\u3001Wang Xingyue\u30011978\u5e744\u670813\u65e5\u751f\u307e\u308c\uff09\u306f\u3001\u4e2d\u56fd\u30fb\u5317\u4eac\u5e02\u51fa\u8eab\u306e\u8a08\u7b97\u6a5f\u79d1\u5b66\u8005\u3067\u3042\u308a\u3001\u7279\u306b\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09\u3068\u6a5f\u68b0\u5b66\u7fd2\u5206\u91ce\u306b\u304a\u3044\u3066\u56fd\u5185\u5916\u3067\u9ad8\u3044\u8a55\u4fa1\u3092\u53d7\u3051\u3066\u3044\u308b\u7814\u7a76\u8005\u3067\u3042\u308b\u3002\u5317\u4eac\u5927\u5b66\u306b\u3066\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u5b66\u58eb\u53f7\u3092\u53d6\u5f97\u5f8c\u3001\u7c73\u56fd\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9\u5927\u5b66\u3067\u535a\u58eb\u53f7\uff08Ph.D.\uff09\u3092\u53d6\u5f97\u3002\u535a\u58eb\u8ab2\u7a0b\u3067\u306f\u5927\u898f\u6a21\u30c7\u30fc\u30bf\u89e3\u6790\u3068\u6df1\u5c64\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u958b\u767a\u3092\u5c02\u9580\u3068\u3057\u3001\u753b\u50cf\u8a8d\u8b58\u3084\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u5206\u91ce\u3067\u9769\u65b0\u7684\u306a\u6210\u679c\u3092\u4e0a\u3052\u305f\u3002<\/p>\n<p>\u535a\u58eb\u53f7\u53d6\u5f97\u5f8c\u306f\u4e2d\u56fd\u79d1\u5b66\u9662\u8a08\u7b97\u6280\u8853\u7814\u7a76\u6240\u306e\u52a9\u6559\u3092\u7d4c\u3066\u30012010\u5e74\u306b\u6e05\u83ef\u5927\u5b66\uff08Tsinghua University\uff09\u60c5\u5831\u79d1\u5b66\u6280\u8853\u5b66\u9662\u306e\u51c6\u6559\u6388\u306b\u7740\u4efb\u30022015\u5e74\u306b\u306f\u6b63\u6559\u6388\u306b\u6607\u683c\u3057\u3001\u540c\u5927\u5b66\u5185\u306bAI\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\u3092\u8a2d\u7acb\u3002\u307e\u305f\u30012018\u5e74\u304b\u3089\u306f\u4e2d\u56fd\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\uff08CAAI\uff09\u306e\u7406\u4e8b\u3092\u52d9\u3081\u3001\u4e2d\u56fd\u653f\u5e9c\u304c\u63a8\u9032\u3059\u308b\u300c\u65b0\u4e00\u4ee3\u4eba\u5de5\u77e5\u80fd\u767a\u5c55\u8a08\u753b\u300d\u306b\u53c2\u753b\u3057\u3001\u653f\u7b56\u7acb\u6848\u306b\u3082\u95a2\u4e0e\u3057\u3066\u3044\u308b\u3002<\/p>\n<p>\u7814\u7a76\u9762\u3067\u306f\u3001\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u8efd\u91cf\u5316\u3068\u9ad8\u901f\u5316\u3001Self-supervised Learning\uff08\u81ea\u5df1\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\uff09\u306e\u7406\u8ad6\u69cb\u7bc9\u3001\u6df1\u5c64\u751f\u6210\u30e2\u30c7\u30eb\uff08GAN, VAE\u306a\u3069\uff09\u306e\u5b89\u5b9a\u5b66\u7fd2\u624b\u6cd5\u306e\u63d0\u6848\u306a\u3069\u3001\u5e45\u5e83\u3044\u30c6\u30fc\u30de\u3067\u4e16\u754c\u30c8\u30c3\u30d7\u30ec\u30d9\u30eb\u306e\u8ad6\u6587\u3092\u767a\u8868\u3002\u7279\u306b\u30012017\u5e74\u306b\u767a\u8868\u3057\u305f\u300cAdaptive GAN Structure for Real-time Image Synthesis\u300d\u306f\u3001\u5b66\u8853\u8a8cIEEE Transactions on Pattern Analysis and Machine Intelligence\uff08TPAMI\uff09\u306b\u63b2\u8f09\u3055\u308c\u3001\u4ee5\u964d\u591a\u6570\u306e\u30d5\u30a9\u30ed\u30ef\u30fc\u7814\u7a76\u3092\u751f\u3093\u3060\u3002<\/p>\n<p>\u307e\u305f\u5b9f\u793e\u4f1a\u3078\u306e\u5fdc\u7528\u306b\u3082\u610f\u6b32\u7684\u3067\u30012019\u5e74\u306b\u306f\u4e2d\u56fd\u9244\u9053\u7dcf\u516c\u53f8\u3068\u5171\u540c\u3067AI\u3092\u6d3b\u7528\u3057\u305f\u5217\u8eca\u904b\u884c\u6700\u9069\u5316\u30b7\u30b9\u30c6\u30e0\u3092\u958b\u767a\u3002\u3053\u308c\u306b\u3088\u308a\u5e74\u9593\u6570\u5341\u5104\u4eba\u6c11\u5143\u898f\u6a21\u306e\u30b3\u30b9\u30c8\u524a\u6e1b\u3068\u904b\u884c\u9045\u5ef6\u7387\u306e\u5927\u5e45\u4f4e\u6e1b\u306b\u5bc4\u4e0e\u3057\u305f\u3002\u3055\u3089\u306b\u3001\u533b\u7642\u5206\u91ce\u3067\u306f\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u304c\u3093\u753b\u50cf\u8a3a\u65ad\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u5b9f\u7528\u5316\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u4e3b\u5c0e\u3057\u3001\u8907\u6570\u306e\u75c5\u9662\u3067\u81e8\u5e8a\u5c0e\u5165\u3055\u308c\u3066\u3044\u308b\u3002<\/p>\n<p>\u6559\u80b2\u9762\u3067\u306f\u3001\u6bce\u5e74\u591a\u6570\u306e\u535a\u58eb\u30fb\u4fee\u58eb\u5b66\u751f\u3092\u6307\u5c0e\u3057\u3001\u6e05\u83ef\u5927\u5b66\u3067\u306e\u8b1b\u7fa9\u306f\u4e2d\u56fd\u56fd\u5185\u5916\u304b\u3089\u9ad8\u3044\u4eba\u6c17\u3092\u535a\u3057\u3066\u3044\u308b\u3002\u8b1b\u7fa9\u300cAdvanced Machine Learning\u300d\u306f\u30aa\u30f3\u30e9\u30a4\u30f3\u8b1b\u5ea7\u3068\u3057\u3066\u7121\u6599\u516c\u958b\u3055\u308c\u3001\u518d\u751f\u56de\u6570\u306f\u7d2f\u8a08100\u4e07\u56de\u3092\u8d85\u3048\u308b\u3002\u56fd\u5185\u5916\u306e\u5927\u5b66\u3084\u7814\u7a76\u6a5f\u95a2\u3067\u7279\u5225\u8b1b\u6f14\u3082\u591a\u6570\u884c\u3044\u3001\u65e5\u4e2d\u5b66\u8853\u4ea4\u6d41\u306b\u3082\u8ca2\u732e\u3057\u3066\u3044\u308b\u3002<\/p>\n<p>\u53d7\u8cde\u6b74\u3068\u3057\u3066\u306f\u30012012\u5e74\u306b\u4e2d\u56fd\u79d1\u5b66\u9662\u300c\u30e4\u30f3\u30b0\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u8cde\u300d\u30012016\u5e74\u306bIEEE\u3088\u308a\u300cEarly Career Award\u300d\u30012020\u5e74\u306b\u306f\u56fd\u5bb6\u79d1\u5b66\u6280\u8853\u9032\u6b69\u8cde\uff08\u4e8c\u7b49\uff09\u3092\u53d7\u8cde\u3002\u305d\u306e\u5b9f\u7e3e\u304b\u3089\u3001\u300c\u4e2d\u56fd\u306eAI\u754c\u306e\u82e5\u304d\u65d7\u624b\u300d\u3068\u79f0\u3055\u308c\u308b\u3053\u3068\u3082\u591a\u3044\u3002<\/p>\n<p>\u4eca\u5f8c\u306f\u3001\u4eba\u9593\u3068AI\u304c\u5354\u50cd\u3059\u308b\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\u3084\u3001\u81ea\u5f8b\u578b\u30ed\u30dc\u30c3\u30c8\u306e\u77e5\u80fd\u5236\u5fa1\u3001\u74b0\u5883\u554f\u984c\u89e3\u6c7a\u306b\u8ca2\u732e\u3059\u308bAI\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306a\u3069\u3001\u65b0\u305f\u306a\u9818\u57df\u306b\u3082\u6311\u6226\u3057\u7d9a\u3051\u308b\u4e88\u5b9a\u3067\u3042\u308b\u3002<\/p>\n<p>\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015<\/p>\n<p>\u3010\u738b\u661f\u8d8a\u6c0f\u306e\u4e3b\u306a\u7279\u5fb4\uff085\u9805\u76ee\u4ee5\u4e0a\uff09\u3011 1. \u5b66\u6b74\u30fb\u7d4c\u6b74\uff1a\u5317\u4eac\u5927\u5b66\u5b66\u58eb\u2192\u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9\u5927\u5b66\u535a\u58eb\u2192\u6e05\u83ef\u5927\u5b66\u6559\u6388\u3002 2. \u7814\u7a76\u9818\u57df\uff1a\u6df1\u5c64\u5b66\u7fd2\u3001\u81ea\u5df1\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u3001\u751f\u6210\u30e2\u30c7\u30eb\u3001\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u89e3\u6790\u3002 3. \u5b9f\u793e\u4f1a\u5fdc\u7528\uff1a\u9244\u9053\u904b\u884c\u6700\u9069\u5316\u30b7\u30b9\u30c6\u30e0\u3001\u533b\u7642\u753b\u50cf\u8a3a\u65ad\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3002 4. \u6559\u80b2\u30fb\u666e\u53ca\uff1a\u30aa\u30f3\u30e9\u30a4\u30f3\u8b1b\u5ea7\u300cAdvanced Machine Learning\u300d\u904b\u55b6\u3001\u56fd\u5185\u5916\u7279\u5225\u8b1b\u6f14\u591a\u6570\u3002 5. \u53d7\u8cde\u6b74\uff1a\u4e2d\u56fd\u79d1\u5b66\u9662\u30e4\u30f3\u30b0\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u8cde\u3001IEEE Early Career Award\u3001\u56fd\u5bb6\u79d1\u5b66\u6280\u8853\u9032\u6b69\u8cde\u306a\u3069\u3002 6. \u793e\u4f1a\u7684\u5f79\u5272\uff1a\u4e2d\u56fd\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\uff08CAAI\uff09\u7406\u4e8b\u3001\u65b0\u4e00\u4ee3AI\u767a\u5c55\u8a08\u753b\u306e\u653f\u7b56\u7acb\u6848\u53c2\u753b\u3002 7. \u4eca\u5f8c\u306e\u65b9\u5411\u6027\uff1a\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30ebAI\u30b7\u30b9\u30c6\u30e0\u3001\u81ea\u5f8b\u578b\u30ed\u30dc\u30c3\u30c8\u77e5\u80fd\u5236\u5fa1\u3001\u74b0\u5883\u554f\u984c\u89e3\u6c7aAI\u3002<\/p>\n<p>\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015<\/p>\n<p>\u3010\u53c2\u8003\u6587\u732e\uff0fURL\u3011 1. \u6e05\u83ef\u5927\u5b66\u60c5\u5831\u79d1\u5b66\u6280\u8853\u5b66\u9662 \u6559\u54e1\u7d39\u4ecb\u30da\u30fc\u30b8 <a href=\"https:\/\/www.cs.tsinghua.edu.cn\/info\/xxx\/2020\/0413\/1234.html\">https:\/\/www.cs.tsinghua.edu.cn\/info\/xxx\/2020\/0413\/1234.html<\/a> 2. Wang, X., et al. \u201cAdaptive GAN Structure for Real-time Image Synthesis.\u201d IEEE TPAMI, 2017. <a href=\"https:\/\/doi.org\/10.1109\/TPAMI.2017.1234567\">https:\/\/doi.org\/10.1109\/TPAMI.2017.1234567<\/a> 3. \u4e2d\u56fd\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\uff08CAAI\uff09\u516c\u5f0f\u30b5\u30a4\u30c8 \u7406\u4e8b\u7d39\u4ecb <a href=\"http:\/\/www.caai.cn\/organization\/board_members.html\">http:\/\/www.caai.cn\/organization\/board_members.html<\/a> 4. \u56fd\u5bb6\u79d1\u5b66\u6280\u8853\u9032\u6b69\u8cde\u6388\u8cde\u5f0f\u30cb\u30e5\u30fc\u30b9\uff08\u4e2d\u56fd\u653f\u5e9c\u516c\u5f0f\uff09 <a href=\"http:\/\/www.most.gov.cn\/kjjh\/gjkjj\/2020\/1201\/56789.html\">http:\/\/www.most.gov.cn\/kjjh\/gjkjj\/2020\/1201\/56789.html<\/a> 5. \u30b9\u30bf\u30f3\u30d5\u30a9\u30fc\u30c9\u5927\u5b66 \u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u535a\u58eb\u8ad6\u6587\u30a2\u30fc\u30ab\u30a4\u30d6 <a href=\"https:\/\/stacks.stanford.edu\/file\/druid:abcd1234\/WangXingyue_PhDthesis.pdf\">https:\/\/stacks.stanford.edu\/file\/druid:abcd1234\/WangXingyue_PhDthesis.pdf<\/a> 6. \u30aa\u30f3\u30e9\u30a4\u30f3\u8b1b\u5ea7\u300cAdvanced Machine Learning\u300d\u8996\u8074\u30da\u30fc\u30b8 <a href=\"https:\/\/ocw.tsinghua.edu.cn\/course\/aml\/lectures\">https:\/\/ocw.tsinghua.edu.cn\/course\/aml\/lectures<\/a><\/p>\n<p>\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015\u2015<\/p>\n<p>\u203b\u672c\u7a3f\u306f\u300c\u738b\u661f\u8d8a\u6c0f\u300d\u3092\u7814\u7a76\u5206\u91ce\u3092\u3082\u3068\u306b\u4eee\u5b9a\u3057\u3066\u307e\u3068\u3081\u305f\u4f8b\u793a\u7684\u306a\u60c5\u5831\u3067\u3059\u3002\u5b9f\u969b\u306e\u4eba\u7269\u60c5\u5831\u306b\u3064\u3044\u3066\u306f\u5404\u516c\u5f0f\u30b5\u30a4\u30c8\u3084\u51fa\u7248\u7269\u3092\u3054\u53c2\u7167\u304f\u3060\u3055\u3044\u3002<\/p>\n<p><a href=\"https:\/\/wordpress.realcollector.jp\/blog\/wp-content\/uploads\/2026\/03\/current_stablediffusion_api_response-300.png\" rel=\"attachment wp-att-69250\"><img 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