{"id":1150772,"date":"2025-09-29T00:35:58","date_gmt":"2025-09-29T07:35:58","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&#038;p=1150772"},"modified":"2025-12-14T20:25:29","modified_gmt":"2025-12-15T04:25:29","slug":"yansen-wang","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/yansen-wang\/","title":{"rendered":"\u738b\u5ef6\u68ee\uff1a\u6240\u6709\u79d1\u5b66\u53d1\u73b0\u90fd\u662f\u4eba\u7c7b\u60c5\u611f\u9700\u6c42\u7684\u6295\u5c04"},"content":{"rendered":"\n<p>\u7f16\u8005\u6309\uff1a\u5f53\u201c\u7406\u6027\u201d\u7684\u79d1\u5b66\u53d1\u73b0\u4e0e\u201c\u60c5\u611f\u4e30\u5bcc\u201d\u7684\u79d1\u7814\u4eba\u5458\u76f8\u9047\uff0c\u4f1a\u53d1\u751f\u600e\u6837\u7684\u5316\u5b66\u53cd\u5e94\uff1f<\/p>\n\n\n\n<p>\u5728\u4eba\u5de5\u667a\u80fd\u4e0e\u795e\u7ecf\u79d1\u5b66\u7684\u4ea4\u6c47\u5904\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u9ad8\u7ea7\u7814\u7a76\u5458\u738b\u5ef6\u68ee\uff0c\u6b63\u6000\u63e3\u7740\u6d53\u539a\u7684\u5174\u8da3\uff0c\u805a\u7126\u4eba\u7684\u9700\u6c42\u4e0e\u4f53\u9a8c\uff0c\u5c55\u5f00\u4e00\u573a\u5173\u4e8e\u667a\u80fd\u672c\u8d28\u7684\u63a2\u7d22\u3002\u4ed6\u4ee5\u975e\u4fb5\u5165\u5f0f\u8111\u673a\u63a5\u53e3\u4e3a\u94a5\u5319\uff0c\u8bd5\u56fe\u7834\u89e3\u4eba\u7c7b\u611f\u77e5\u4e0e\u610f\u56fe\u7684\u795e\u7ecf\u5bc6\u7801\uff1b\u4ee5\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u4e3a\u6865\u6881\uff0c\u63a2\u7d22\u4eba\u8111\u4f4e\u80fd\u8017\u8fd0\u884c\u7684\u5965\u79d8\uff1b\u79c9\u6301\u201c\u4ee5\u4eba\u4e3a\u672c\u201d\u7684\u521d\u5fc3\uff0c\u8ba9\u6280\u672f\u56de\u5f52\u670d\u52a1\u4e8e\u4eba\u7684\u672c\u8d28\u3002\u8ddf\u968f\u738b\u5ef6\u68ee\u7684\u811a\u6b65\uff0c\u6211\u4eec\u5c06\u89c1\u8bc1\u4e00\u573a\u4eba\u5de5\u667a\u80fd\u4e0e\u795e\u7ecf\u79d1\u5b66\u7684\u201c\u53cc\u5411\u5954\u8d74\u201d\u3002<\/p>\n\n\n\n<hr 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class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"690\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-1-1024x690.jpg\" alt=\"\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u9ad8\u7ea7\u7814\u7a76\u5458\u738b\u5ef6\u68ee\" class=\"wp-image-1150775\" style=\"width:657px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-1-1024x690.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-1-300x202.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-1-768x517.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-1-1536x1035.jpg 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-1-240x162.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-1.jpg 1560w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u9ad8\u7ea7\u7814\u7a76\u5458\u738b\u5ef6\u68ee<\/figcaption><\/figure>\n\n\n\n<p>\u6b63\u662f\u8fd9\u4efd\u201c\u4ee5\u5174\u8da3\u4e3a\u5f15\uff0c\u4ee5\u4eba\u4e3a\u672c\u201d\u7684\u521d\u5fc3\uff0c\u6307\u5f15\u7740\u738b\u5ef6\u68ee\u4e00\u6b65\u6b65\u8e0f\u4e0a\u79d1\u7814\u5f81\u9014\u3002\u5728\u6e05\u534e\u5927\u5b66\u5c31\u8bfb\u672c\u79d1\u65f6\uff0c\u738b\u5ef6\u68ee\u89c1\u8bc1\u4e86\u4eba\u5de5\u667a\u80fd\u6218\u80dc\u4e16\u754c\u56f4\u68cb\u51a0\u519b\u7684\u5386\u53f2\u6027\u65f6\u523b\u3002\u90a3\u4e00\u523b\uff0c\u4ed6\u610f\u8bc6\u5230\uff0c\u4eba\u5de5\u667a\u80fd\u6216\u8bb8\u4e0d\u4ec5\u80fd\u8d62\u4e0b\u68cb\u5c40\uff0c\u66f4\u6709\u53ef\u80fd\u7406\u89e3\u4eba\u7c7b\u7684\u601d\u7ef4\u6a21\u5f0f\u3002\u5e26\u7740\u8fd9\u4efd\u601d\u8003\uff0c\u4ed6\u5728\u7855\u58eb\u9636\u6bb5\u524d\u5f80\u5361\u8010\u57fa\u6885\u9686\u5927\u5b66\uff0c\u6df1\u8015\u591a\u6a21\u6001\u7814\u7a76\u3002<\/p>\n\n\n\n<p>\u6bd5\u4e1a\u540e\uff0c\u738b\u5ef6\u68ee\u52a0\u5165\u4e86\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\uff08\u4e0a\u6d77\uff09\u4eba\u5de5\u667a\u80fd\u4e0e\u673a\u5668\u5b66\u4e60\u7ec4\u3002\u5728\u8fd9\u91cc\uff0c\u4ed6\u771f\u6b63\u5f00\u542f\u4e86\u4eba\u5de5\u667a\u80fd\u4e0e\u795e\u7ecf\u79d1\u5b66\u878d\u5408\u7684\u79d1\u7814\u521b\u65b0\u4e4b\u65c5\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u4eba\u5de5\u667a\u80fd\u4e0e\u795e\u7ecf\u79d1\u5b66\u7684\u53cc\u5411\u5954\u8d74\">\u4eba\u5de5\u667a\u80fd\u4e0e\u795e\u7ecf\u79d1\u5b66\u7684\u53cc\u5411\u5954\u8d74<\/h2>\n\n\n\n<p>\u738b\u5ef6\u68ee\u76ee\u524d\u7684\u7814\u7a76\u805a\u7126\u4e8e\u4eba\u5de5\u667a\u80fd\u4e0e\u795e\u7ecf\u79d1\u5b66\u8fd9\u4e00\u4ea4\u53c9\u9886\u57df\u7684\u4e24\u4e2a\u6838\u5fc3\u65b9\u5411\uff1a\u4e00\u65b9\u9762\uff0c\u5229\u7528\u4eba\u5de5\u667a\u80fd\u4fc3\u8fdb\u795e\u7ecf\u79d1\u5b66\u7684\u53d1\u5c55\uff0c\u5e2e\u52a9\u4eba\u7c7b\u7406\u89e3\u5927\u8111\u7684\u8fd0\u4f5c\u673a\u5236\uff0c\u5373 \u201cAI for Brain\u201d\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u4ece\u5927\u8111\u7684\u667a\u6167\u4e2d\u6c72\u53d6\u7075\u611f\uff0c\u53cd\u54fa\u4eba\u5de5\u667a\u80fd\u7684\u67b6\u6784\u4e0e\u7b97\u6cd5\uff0c\u5373 \u201cBrain for AI\u201d\u3002<\/p>\n\n\n\n<p><strong>\u5728 \u201cAI for Brain\u201d \u7684\u63a2\u7d22\u4e2d\uff0c\u738b\u5ef6\u68ee\u548c\u540c\u4e8b\u4eec\u4ee5\u975e\u4fb5\u5165\u5f0f\u8111\u673a\u63a5\u53e3\u4e3a\u7814\u7a76\u8f7d\u4f53\u3002<\/strong>\u201c\u4eba\u7c7b\u5bf9\u5927\u8111\u7684\u4e86\u89e3\u73b0\u9636\u6bb5\u4ecd\u7136\u975e\u5e38\u6709\u9650\uff0c\u5b83\u7684\u591a\u4efb\u52a1\u5904\u7406\u80fd\u529b\u3001\u5bf9\u73af\u5883\u7684\u5feb\u901f\u9002\u5e94\u80fd\u529b\uff0c\u81f3\u4eca\u90fd\u662f\u4eba\u5de5\u667a\u80fd\u96be\u4ee5\u4f01\u53ca\u7684\u9ad8\u5ea6\u3002\u6211\u4eec\u5e0c\u671b\u501f\u52a9\u4eba\u5de5\u667a\u80fd\u5206\u6790\u8111\u7535\u4fe1\u53f7\uff08EEG\uff09\uff0c\u5efa\u7acb\u4eba\u7c7b\u5bf9\u5916\u754c\u611f\u77e5\u4e0e\u610f\u56fe\u548c\u5927\u8111\u6d3b\u52a8\u4e4b\u95f4\u7684\u5173\u8054\uff0c\u4ece\u800c\u7406\u89e3\u5927\u8111\u7684\u5de5\u4f5c\u673a\u5236\u3002\u201d\u738b\u5ef6\u68ee\u89e3\u91ca\u9053\u3002<\/p>\n\n\n\n<p>\u76ee\u524d\uff0c\u56e2\u961f\u5df2\u5728\u975e\u4fb5\u5165\u5f0f\u8111\u673a\u63a5\u53e3\u7814\u7a76\u4e2d\u53d6\u5f97\u9636\u6bb5\u6027\u6210\u679c\u3002\u5728\u611f\u77e5\u7aef\uff0c\u4ed6\u4eec\u5b9e\u73b0\u4e86\u5bf9\u4eba\u7c7b\u89c6\u89c9\u7c97\u7c92\u5ea6\u4fe1\u606f\u7684\u521d\u6b65\u89e3\u7801\uff0c\u5982\u8bc6\u522b\u53d7\u8bd5\u8005\u6240\u89c1\u7684\u989c\u8272\u3001\u52a8\u6001\u573a\u666f\u7b49\u4fe1\u606f\u3002\u901a\u8fc7\u8fd0\u7528\u5148\u8fdb\u7684\u6269\u6563\u6a21\u578b\uff0c\u56e2\u961f\u6210\u529f\u5c06\u795e\u7ecf\u4fe1\u53f7\u8f6c\u5316\u4e3a\u8bed\u4e49\u5339\u914d\u7684\u89c6\u89c9\u5185\u5bb9\uff0c\u5e76\u63a8\u51fa\u4e86\u57fa\u7ebf\u6a21\u578b EEG2Video\uff0c\u80fd\u591f\u4ece\u8111\u7535\u4fe1\u53f7\u4e2d\u201c\u91cd\u5efa\u201d\u4eba\u8111\u6240\u611f\u77e5\u7684\u89c6\u9891\u7247\u6bb5\u3002\u4e3a\u63d0\u5347\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u738b\u5ef6\u68ee\u548c\u540c\u4e8b\u4eec\u8fd8\u6784\u5efa\u4e86\u591a\u4e2a\u6570\u636e\u96c6\uff0c\u5c06\u8111\u7535\u4fe1\u53f7\u4e0e\u65e5\u5e38\u884c\u4e3a\u52a8\u4f5c\u8fdb\u884c\u7cfb\u7edf\u6027\u5173\u8054\uff0c\u63a8\u52a8\u6280\u672f\u8d70\u5411\u66f4\u591a\u5e94\u7528\u573a\u666f\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-2.gif\" alt=\"demo\" class=\"wp-image-1150776\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-3.gif\" alt=\"demo\" class=\"wp-image-1150777\"\/><figcaption class=\"wp-element-caption\">EEG2Video demo\uff08\u4e0a\u56fe\u4e3a\u539f\u59cb\u89c6\u9891\u8f93\u5165\uff1b\u4e0b\u56fe\u4e3a EEG2Video \u91cd\u6784\u89c6\u9891\uff09<\/figcaption><\/figure>\n\n\n\n<p>\u76f8\u5173\u8bba\u6587\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/file\/84bad835faaf48f24d990072bb5b80ee-Paper-Conference.pdf\">EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5728\u63a7\u5236\u7aef\uff0c\u9488\u5bf9\u201c\u5b57\u6bcd\u89e3\u7801\u201d\u96be\u9898\uff0c\u738b\u5ef6\u68ee\u4e0e\u56e2\u961f\u521b\u65b0\u6027\u5730\u63d0\u51fa\u4e86\u201c\u7f16\u7801\u672c\u201d\u8303\u5f0f\u3002\u4e0d\u540c\u4e8e\u4f20\u7edf\u65b9\u6cd5\u8981\u6c42\u53c2\u4e0e\u8005\u5728\u8111\u4e2d\u60f3\u8c61\u5b57\u6bcd\u5f62\u72b6\uff0c\u8be5\u8303\u5f0f\u5f15\u5bfc\u53c2\u4e0e\u8005\u60f3\u8c61\u80a2\u4f53\u52a8\u4f5c\u3001\u6570\u5b66\u8ba1\u7b97\u7b49\u66f4\u6613\u88ab\u8bbe\u5907\u8bc6\u522b\u7684\u8bed\u4e49\u4fe1\u606f\uff0c\u518d\u901a\u8fc7\u4eba\u5de5\u667a\u80fd\u5c06\u8fd9\u4e9b\u8bed\u4e49\u4e0e\u5b57\u6bcd\u5173\u8054\u3002\u5728\u6240\u4f7f\u7528\u7684\u4fbf\u643a\u5f0f\u8bbe\u5907\u4e2d\uff0c\u8fd9\u4e00\u8303\u5f0f\u5df2\u572836\u5206\u7c7b\u4efb\u52a1\uff08\u6db5\u76d626\u4e2a\u5b57\u6bcd\u4e0e10\u4e2a\u6570\u5b57\uff09\u4e0a\u5b9e\u73b0\u4e8630%\u201340%\u7684\u51c6\u786e\u7387\u3002\u201c\u76ee\u524d\uff0c\u6211\u4eec\u6b63\u52aa\u529b\u5c06\u8fd9\u4e00\u8303\u5f0f\u62d3\u5c55\u81f3\u624b\u673a\u64cd\u63a7\u548c\u7f51\u9875\u4ea4\u4e92\u7b49\u573a\u666f\uff0c\u63a2\u7d22\u9664\u5b57\u6bcd\u8f93\u5165\u4e4b\u5916\u7684\u591a\u5143\u4ea4\u4e92\u6a21\u5f0f\uff0c\u8fdb\u4e00\u6b65\u62d3\u5c55\u5176\u5e94\u7528\u8fb9\u754c\u548c\u5b9e\u7528\u4ef7\u503c\u3002\u201d<\/p>\n\n\n\n<p>\u7136\u800c\uff0c\u738b\u5ef6\u68ee\u4e5f\u6307\u51fa\uff0c\u975e\u4fb5\u5165\u5f0f\u8111\u673a\u63a5\u53e3\u7684\u5b9e\u73b0\u4f9d\u7136\u9762\u4e34\u4e0d\u5c11\u6311\u6218\uff1a\u8111\u7535\u4fe1\u53f7\u4fe1\u566a\u6bd4\u4f4e\uff0c\u6781\u6613\u53d7\u5230\u73af\u5883\u4e0e\u5176\u4ed6\u751f\u7406\u4fe1\u53f7\u7684\u5e72\u6270\uff0c\u96be\u4ee5\u5728\u4fbf\u643a\u8bbe\u5907\u4e0a\u7a33\u5b9a\u63d0\u53d6\uff1b\u8111\u7535\u6570\u636e\u7a00\u7f3a\uff0c\u4e14\u91c7\u96c6\u9700\u8981\u5728\u53d7\u63a7\u73af\u5883\u4e0b\u8fdb\u884c\uff1b\u4e2a\u4f53\u5dee\u5f02\u663e\u8457\uff0c\u5bfc\u81f4\u8de8\u7528\u6237\u3001\u8de8\u4efb\u52a1\u7684\u901a\u7528\u6027\u4e0d\u8db3\u3002<\/p>\n\n\n\n<p>\u201c\u6211\u4eec\u6b63\u5728\u63a8\u8fdb\u2018\u8111\u7535\u57fa\u7840\u6a21\u578b\u2019\u7684\u7814\u7a76\uff0c\u5e0c\u671b\u53ef\u4ee5\u50cf\u5927\u8bed\u8a00\u6a21\u578b\u4e00\u6837\uff0c\u901a\u8fc7\u66f4\u591a\u6570\u636e\u548c\u66f4\u5927\u89c4\u6a21\u7684\u6a21\u578b\u6765\u63d0\u5347\u7cfb\u7edf\u7684\u9c81\u68d2\u6027\u3002\u201d\u738b\u5ef6\u68ee\u8865\u5145\u9053\u3002<\/p>\n\n\n\n<p><strong>\u5728 \u201cBrain for AI\u201d \u63a2\u7d22\u4e2d\uff0c\u738b\u5ef6\u68ee\u548c\u540c\u4e8b\u4eec\u5e0c\u671b\u4ece\u4eba\u8111\u7684\u529f\u80fd\u4e0e\u8fd0\u4f5c\u4e2d\u6c72\u53d6\u7075\u611f\uff0c\u4ee5\u5e94\u5bf9\u4eba\u5de5\u667a\u80fd\u5728\u80fd\u6548\u65b9\u9762\u7684\u6311\u6218\u3002<\/strong><\/p>\n\n\n\n<p>\u201c\u4eba\u8111\u4ec5\u9700\u4e00\u7897\u996d\u7684\u80fd\u91cf\uff0c\u5c31\u80fd\u5b8c\u6210\u5927\u91cf\u601d\u8003\u4e0e\u8ba1\u7b97\uff0c\u4f46\u4eba\u5de5\u667a\u80fd\u5374\u9700\u8981\u6d88\u8017\u5927\u91cf\u8d44\u6e90\u548c\u7535\u529b\u624d\u80fd\u83b7\u5f97\u4e0d\u9519\u7684\u7ed3\u679c\u3002\u201d\u738b\u5ef6\u68ee\u6307\u51fa\uff0c\u201c\u66f4\u503c\u5f97\u6df1\u601d\u7684\u662f\uff0c\u4eba\u8111\u5728\u8bb8\u591a\u4efb\u52a1\u4e2d\u65e0\u9700\u590d\u6742\u7f51\u7edc\u5373\u53ef\u9ad8\u6548\u5b8c\u6210\uff0c\u6bd4\u5982\u624b\u90e8\u6216\u80a2\u4f53\u7684\u7cbe\u7ec6\u63a7\u5236\u3002\u4eba\u7c7b\u4e5f\u80fd\u5728\u5c11\u91cf\u6837\u672c\u4e0b\u5feb\u901f\u9002\u5e94\u65b0\u4efb\u52a1\uff0c\u4f46\u73b0\u6709\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u5f80\u5f80\u9700\u8981\u6d77\u91cf\u6570\u636e\u624d\u80fd\u91cd\u65b0\u5b66\u4e60\u3002\u8fd9\u4e9b\u5dee\u5f02\u80cc\u540e\uff0c\u4e00\u5b9a\u5b58\u5728\u53ef\u4f9b\u4eba\u5de5\u667a\u80fd\u501f\u9274\u7684\u8bbe\u8ba1\u903b\u8f91\u3002\u201d<\/p>\n\n\n\n<p>\u56e2\u961f\u7684\u7814\u7a76\u53d1\u73b0\uff0c\u8fd9\u5176\u4e2d\u6700\u663e\u8457\u7684\u5dee\u5f02\u5728\u4e8e\u795e\u7ecf\u5143\u7684\u7ed3\u6784\u4e0e\u5de5\u4f5c\u65b9\u5f0f\u3002\u4eba\u8111\u795e\u7ecf\u5143\u91c7\u7528\u8109\u51b2\u5f0f\u673a\u5236\uff0c\u53ea\u6709\u5f53\u819c\u7535\u4f4d\u7d2f\u79ef\u81f3\u7279\u5b9a\u9608\u503c\u65f6\uff0c\u624d\u4f1a\u6fc0\u53d1\u5e76\u4f20\u9012\u4fe1\u53f7\uff0c\u5728\u9759\u606f\u72b6\u6001\u4e0b\uff0c\u80fd\u8017\u6781\u4f4e\u3002\u800c\u4f20\u7edf\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u65e0\u8bba\u8f93\u5165\u5f3a\u5f31\uff0c\u59cb\u7ec8\u8fdb\u884c\u7a20\u5bc6\u8ba1\u7b97\uff0c\u5bfc\u81f4\u80fd\u8017\u5c45\u9ad8\u4e0d\u4e0b\u3002<\/p>\n\n\n\n<p>\u57fa\u4e8e\u8fd9\u4e00\u53d1\u73b0\uff0c\u738b\u5ef6\u68ee\u548c\u56e2\u961f\u6539\u8fdb\u4e86\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\uff08Spiking Neural Network, SNN\uff09\u6846\u67b6\u3002\u5728\u65f6\u5e8f\u9884\u6d4b\u4efb\u52a1\u4e2d\uff0cSNN \u7684\u6027\u80fd\u4e0e\u4f20\u7edf\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u76f8\u5f53\uff0c\u4f46\u7406\u8bba\u80fd\u8017\u53ef\u964d\u4f4e\u81f3\u540e\u8005\u7684\u56db\u5206\u4e4b\u4e00\uff0c\u4e3a\u4f4e\u529f\u8017\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u63d0\u4f9b\u4e86\u65b0\u8def\u5f84\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"787\" height=\"389\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-4.png\" alt=\"diagram\" class=\"wp-image-1150778\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-4.png 787w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-4-300x148.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-4-768x380.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-4-240x119.png 240w\" sizes=\"auto, (max-width: 787px) 100vw, 787px\" \/><figcaption class=\"wp-element-caption\">\u56fe\uff1a\u5728\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u4e2d\u7684 SNN \u6846\u67b6<\/figcaption><\/figure>\n\n\n\n<p>\u76f8\u5173\u8bba\u6587\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/arxiv.org\/pdf\/2402.01533\">Efficient and Effective Time-Series Forecasting with Spiking Neural Networks<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u201c\u8fd9\u53ea\u662f\u7814\u7a76\u7684\u4e00\u90e8\u5206\uff0c\u201d\u738b\u5ef6\u68ee\u8865\u5145\u9053\uff0c\u201c\u4eba\u8111\u795e\u7ecf\u5143\u4e4b\u95f4\u662f\u7a00\u758f\u8fde\u63a5\u7684\uff0c\u4e00\u4e2a\u795e\u7ecf\u5143\u901a\u5e38\u53ea\u4e0e\u5468\u56f4\u5c11\u6570\u795e\u7ecf\u5143\u5efa\u7acb\u8054\u7cfb\uff0c\u800c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u5355\u4e2a\u795e\u7ecf\u5143\u8fde\u63a5\u4e0a\u5343\u4e2a\u5176\u4ed6\u795e\u7ecf\u5143\uff0c\u8fd9\u79cd\u7a00\u758f\u8fde\u63a5\u4e5f\u80fd\u5e26\u6765\u80fd\u8017\u7684\u964d\u4f4e\u3002\u672a\u6765\uff0c\u82e5\u80fd\u6301\u7eed\u501f\u9274\u4eba\u8111\u7684\u5de5\u4f5c\u6a21\u5f0f\uff0c\u4eba\u5de5\u667a\u80fd\u5c06\u4f1a\u66f4\u52a0\u901a\u7528\u3001\u66f4\u52a0\u8282\u80fd\u3002\u201d<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"679\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-5-1024x679.png\" alt=\"Yansen Wang\" class=\"wp-image-1150779\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-5-1024x679.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-5-300x199.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-5-768x510.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-5-1536x1019.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-5-240x159.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-5.png 2000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe\uff1a\u738b\u5ef6\u68ee\u5728 TEDxBeijing \u521b\u65b0\u4f1a\u8bae\u4e0a\u8fdb\u884c\u5206\u4eab<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" 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meeting\" class=\"wp-image-1150780\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-6-1024x682.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-6-300x200.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-6-768x512.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-6-240x160.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/yansen-wang-6.jpg 1270w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe\uff1a\u738b\u5ef6\u68ee\uff08\u53f3\u4e09\uff09\u4e0e\u540c\u4e8b\u4eec\u63a2\u8ba8\u79d1\u7814\u95ee\u9898<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" 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