{"id":479,"date":"2025-04-03T09:49:51","date_gmt":"2025-04-03T01:49:51","guid":{"rendered":"http:\/\/106.52.84.14\/?p=479"},"modified":"2025-04-03T09:49:51","modified_gmt":"2025-04-03T01:49:51","slug":"20-05-mics%e5%9c%a8%e7%ba%bf%e5%ad%a6%e6%9c%af%e8%ae%b2%e5%ba%a7%ef%bc%9a%e5%88%98%e6%97%a5%e5%8d%87","status":"publish","type":"post","link":"https:\/\/www.mics-ai.com\/index.php\/2025\/04\/03\/20-05-mics%e5%9c%a8%e7%ba%bf%e5%ad%a6%e6%9c%af%e8%ae%b2%e5%ba%a7%ef%bc%9a%e5%88%98%e6%97%a5%e5%8d%87\/","title":{"rendered":"[#20-05] MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\uff1a\u5218\u65e5\u5347"},"content":{"rendered":"\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>\u5609\u5bbe<\/strong><\/td><td>\u5218\u65e5\u5347\uff08\u5927\u8fde\u7406\u5de5\uff09<\/td><\/tr><tr><td><strong>\u65f6\u95f4<\/strong><\/td><td>2020\u5e7404\u670814\u65e5\uff08\u661f\u671f\u4e8c\uff09 \u665a\u4e0a20\uff1a00\uff08\u5317\u4eac\u65f6\u95f4\uff09<\/td><\/tr><tr><td><strong>\u9898\u76ee<\/strong><\/td><td>\u4f18\u5316\u89c2\u70b9\u4e0b\u7684\u6df1\u5ea6\u5b66\u4e60\u53ca\u5176\u5728\u533b\u5b66\u5f71\u50cf\u9886\u57df\u4e2d\u7684\u5e94\u7528<\/td><\/tr><tr><td><strong>\u4e3b\u6301<\/strong><\/td><td>\u738b\u6d2a\u51ef\uff08\u5927\u8fde\u7406\u5de5\u5927\u5b66\uff09<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-2-11-18-1-1.png\" alt=\"\" class=\"wp-image-480\"\/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><strong>\u62a5\u544a\u6458\u8981<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u8fd1\u5e74\u6765\uff0c\u7ed3\u5408\u9886\u57df\u77e5\u8bc6\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u53d7\u5230\u8d8a\u6765\u8d8a\u591a\u673a\u5668\u5b66\u4e60\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u533b\u5b66\u5f71\u50cf\u9886\u57df\u5b66\u8005\u7684\u5173\u6ce8\u548c\u91cd\u89c6\u3002\u672c\u6b21\u62a5\u544a\u91cd\u70b9\u6c47\u62a5\u6211\u4eec\u5728\u6700\u4f18\u5316\u89c2\u70b9\u4e0b\u63a2\u7d22\u5d4c\u5165\u9886\u57df\u77e5\u8bc6\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u53ca\u5176\u5728\u533b\u5b66\u5f71\u50cf\u9886\u57df\u4e2d\u7684\u5e94\u7528\u7814\u7a76\u6210\u679c\uff0c\u6d89\u53ca\u5230\u57fa\u4e8e\u4f18\u5316\u5c55\u5f00\u7684\u6df1\u5ea6\u7f51\u7edc\u8bbe\u8ba1\u548c\u4f20\u64ad\u8fc7\u7a0b\u5206\u6790\uff0c\u57fa\u4e8e\u53cc\u5c42\u4f18\u5316\u7684\u6df1\u5ea6\u6a21\u578b\u8d85\u53c2\u6570\u8bad\u7ec3\uff0c\u4ee5\u53ca\u5982\u4f55\u5c06\u76f8\u5173\u6280\u672f\u5e94\u7528\u5230CS-MRI\u548c\u533b\u5b66\u5f71\u50cf\u914d\u51c6\u7b49\u533b\u5b66\u5f71\u50cf\u5206\u6790\u95ee\u9898\u4e2d\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1.&nbsp; Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Risheng Li<\/strong><strong>u*<\/strong>, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, and Zhongxuan Luo<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">IEEE TPAMI (CCF-A).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2.&nbsp; On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Risheng Liu<\/strong><strong>*<\/strong>, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">IEEE TPAMI (CCF-A)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">3.&nbsp; Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Risheng Liu<\/strong><strong>*<\/strong>, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">IEEE TNNLS (CCF-B)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">4.&nbsp; Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Risheng Liu<\/strong><strong>*<\/strong>, Long Ma, Yiyang Wang, Lei Zhang<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">IEEE TIP (CCF-A)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">5.&nbsp; Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Risheng Liu*<\/strong>, Shichao Cheng, Long Ma, Xin Fan and Zhongxuan Luo<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">IEEE TIP (CCF-A)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">6.&nbsp; Knowledge-driven Deep Unrolling for Robust Image Layer Separation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Risheng Liu*<\/strong>, Zhiying Jiang, Xin Fan, Zhongxuan Luo<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">IEEE TNNLS (CCF-B)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">7.&nbsp; Proximal Alternating Direction Networks: A Globally Converged Deep Unrolling Framework.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Risheng Liu*<\/strong>, Xin Fan, Shichao Cheng, Xiangyu Wang and Zhongxuan Luo<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AAAI (CCF-A)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">8.&nbsp; A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Risheng Liu*<\/strong>, Yuxi Zhang, Shichao Cheng\uff0cXin Fan\uff0cZhongxuan Luo<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AAAI (CCF-A)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">9.&nbsp; Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3d Medical Image Registration.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Yuxi Zhang,&nbsp;<strong>Risheng Liu<\/strong>, Zi Li, Zhu Liu, Xin Fan, Zhongxuan Luo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">ISBI 2020.<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u5609\u5bbe\u7b80\u4ecb<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5218\u65e5\u5347\uff0c\u6559\u6388\uff08\u7834\u683c\uff09\uff0c\u535a\u5bfc\uff0c\u5927\u8fde\u7406\u5de5\u5927\u5b66\u51e0\u4f55\u8ba1\u7b97\u4e0e\u667a\u80fd\u5a92\u4f53\u6280\u672f\u7814\u7a76\u6240\u6240\u957f\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u4e3a\u673a\u5668\u5b66\u4e60\u3001\u4f18\u5316\u65b9\u6cd5\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u7b49\uff0c\u53d1\u8868CCF\/CAA\u63a8\u8350\u671f\u520a\u548c\u4f1a\u8bae\u8bba\u658770\u4f59\u7bc7\uff0c\u5176\u4e2dA\u7c7b30\u4f59\u7bc7\u3002\u6210\u679c\u83b7\u5f97\u6559\u80b2\u90e8\u81ea\u7136\u79d1\u5b66\u4e8c\u7b49\u59561\u9879\uff0c\u8fbd\u5b81\u7701\u81ea\u7136\u79d1\u5b66\u4e8c\u7b49\u59561\u9879\uff0c\u591a\u5a92\u4f53\u65d7\u8230\u4f1a\u8baeICME Best Student Paper\u59562\u7bc7\uff082014\u30012015\u8fde\u7eed\u4e24\u5c4a\uff09\uff0cICME 2017 Best Paper Finalist\u59562\u7bc7\uff08TOP 3%\uff09\uff0c\u56fe\u50cf\u5904\u7406\u77e5\u540d\u4f1a\u8baeICIP 2015 TOP 10% Paper\u59561\u7bc7\uff0cVALSE 2018\u6700\u53d7\u5173\u6ce8Poster\u59561\u7bc7\u3002\u62c5\u4efbJournal of Electronic Imaging\u8d44\u6df1\u7f16\u59d4\uff08Senior Editor\uff09\uff0cThe Visual Computer\u548cIET Image Processing\u7f16\u59d4\uff0cICPR\u548cACCV\u9886\u57df\u4e3b\u5e2d\uff08Area Chair\uff09\uff0cAAAI\u548cIJCAI\u9ad8\u7ea7\u7a0b\u5e8f\u59d4\u5458\uff08Senior PC\uff09\uff0cCV\/ML\u9886\u57df\u5168\u90e8CCF\u63a8\u8350A\u7c7b\u4f1a\u8bae\uff08NIPS\u3001ICML\u3001CVPR\u3001ICCV\u3001AAAI\u3001IJCAI\u3001ACM MM\u7b49\uff09\u7a0b\u5e8f\u59d4\u5458\uff08PC\uff09\uff0cVALSE\u9ad8\u7ea7\u9886\u57df\u4e3b\u5e2d\uff08Senior AC\uff09\u3002\u83b7\u5f97\u56fd\u5bb6\u201c\u4f18\u79c0\u9752\u5e74\u79d1\u5b66\u57fa\u91d1\u201d\uff0c\u8fbd\u5b81\u7701\u5174\u8fbd\u82f1\u624d\u8ba1\u5212\u201c\u9752\u5e74\u62d4\u5c16\u4eba\u624d\u201d\uff0c\u8fbd\u5b81\u7701\u201c\u767e\u5343\u4e07\u4eba\u624d\u5de5\u7a0b\u201d\uff08\u5343\u5c42\u6b21\uff09\uff0c\u9999\u6e2f-\u5185\u5730\u201c\u9999\u6c5f\u5b66\u8005\u201d\u7b49\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u7279\u522b\u611f\u8c22\u672c\u6b21Webinar\u4e3b\u8981\u7ec4\u7ec7\u8005\uff1a<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u738b\u6d2a\u51ef\uff08\u5927\u8fde\u7406\u5de5\u5927\u5b66\uff09<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">1. MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\u4f9d\u6258\u5728\u7ebf\u76f4\u64ad\u5e73\u53f0\u8fdb\u884c\uff0c\u542c\u4f17\u8bf7\u70b9\u51fb\u76f4\u64ad\u94fe\u63a5https:\/\/live.polyv.cn\/watch\/1124654\uff08\u6ce8\uff1a\u8be5\u94fe\u63a5\u4e3a4\u670814\u65e5\u62a5\u544a\u94fe\u63a5\uff0c\u8be5\u94fe\u63a5\u6bcf\u671f\u4f1a\u548c\u8bb2\u8005\u4fe1\u606f\u4e00\u8d77\u66f4\u65b0\uff09\u53c2\u52a0\u6d3b\u52a8\uff0c\u652f\u6301\u5b89\u88c5Windows\u7cfb\u7edf\u7684\u7535\u8111\u3001MAC\u7535\u8111\u3001\u624b\u673a\u7b49\u8bbe\u5907\uff1b\u624b\u673a\u5ba2\u6237\u7aef\u4e5f\u53ef\u76f4\u63a5\u626b\u63cf\u4e8c\u7ef4\u7801\u8fdb\u5165\u76f4\u64ad\uff1b<br> <\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-2-11-19-1-1.png\" alt=\"\" class=\"wp-image-481\"\/><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">\u53ef\u76f4\u63a5\u626b\u63cf\u4e8c\u7ef4\u7801\u8fdb\u51654\u670814\u65e5\u76f4\u64ad<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2. \u6d3b\u52a8\u5f00\u59cb\u524d5\u5206\u949f\u5de6\u53f3\uff0c\u8bb2\u8005\u4f1a\u5f00\u542f\u76f4\u64ad\uff0c\u6d3b\u52a8\u65f6\u8bb2\u8005\u4f1a\u4e0a\u4f20PPT\u6216\u5171\u4eab\u5c4f\u5e55\uff0c\u542c\u4f17\u53ef\u4ee5\u770b\u5230Slides\uff0c\u542c\u5230\u8bb2\u8005\u7684\u8bed\u97f3\uff0c\u5e76\u901a\u8fc7\u804a\u5929\u529f\u80fd\u4e0e\u8bb2\u8005\u4ea4\u4e92\uff1b<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">3. \u6d3b\u52a8\u8fc7\u7a0b\u4e2d\uff0c\u8bf7\u4e0d\u8981\u8bf4\u65e0\u5173\u8bdd\u8bed\uff0c\u4ee5\u514d\u5f71\u54cd\u6d3b\u52a8\u6b63\u5e38\u8fdb\u884c\uff1b\u6d3b\u52a8\u8fc7\u7a0b\u4e2d\uff0c\u5982\u51fa\u73b0\u542c\u4e0d\u5230\u6216\u770b\u4e0d\u5230\u89c6\u9891\u7b49\u95ee\u9898\uff0c\u5efa\u8bae\u9000\u51fa\u518d\u91cd\u65b0\u8fdb\u5165\uff0c\u4e00\u822c\u90fd\u80fd\u89e3\u51b3\u95ee\u9898\uff1b\u5efa\u8bae\u901a\u8fc7\u901f\u5ea6\u8f83\u5feb\u7684\u7f51\u7edc\u53c2\u52a0\u6d3b\u52a8\uff0c\u4f18\u5148\u91c7\u7528\u6709\u7ebf\u7f51\u7edc\u8fde\u63a5\uff1b<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">4. \u540e\u7eed\u6bcf\u671f\u8bb2\u5ea7\u4fe1\u606f\uff0c\u4f1a\u901a\u8fc7MICS\u5fae\u4fe1\u516c\u4f17\u53f7\u201c\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9752\u5e74\u7814\u8ba8\u4f1a\u201d\uff08\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\u5173\u6ce8MICS\u5fae\u4fe1\u516c\u4f17\u53f7\uff09\u6216MICS QQ\u7fa4\uff08\u7fa4\u53f7\uff1a926316770\uff09\u8fdb\u884c\u901a\u77e5\uff08\u6ce8\uff1a\u7533\u8bf7\u52a0\u5165MICS QQ\u7fa4\u65f6\u9700\u9a8c\u8bc1\u59d3\u540d\u3001\u5355\u4f4d\u548c\u8eab\u4efd\uff0c\u7f3a\u4e00\u4e0d\u53ef\uff1b\u5165\u7fa4\u540e\uff0c\u8bf7\u5b9e\u540d\uff0c\u59d3\u540d\u8eab\u4efd\u5355\u4f4d\uff1b\u8eab\u4efd\uff1a\u5b66\u6821\u53ca\u79d1\u7814\u5355\u4f4d\u4eba\u5458T\uff0c\u4f01\u4e1a\u7814\u53d1I\uff0c\u535a\u58ebD\uff0c\u7855\u58ebM\uff09<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" src=\"http:\/\/106.52.84.14\/wp-content\/uploads\/2025\/04\/image-85-2-12-10-1-1.png\" alt=\"\" class=\"wp-image-482\"\/><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">\u201c\u533b\u5b66\u56fe\u50cf\u8ba1\u7b97\u9752\u5e74\u7814\u8ba8\u4f1a\u201d\u5fae\u4fe1\u516c\u4f17\u53f7<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MICS\u5728\u7ebf\u5b66\u672f\u8bb2\u5ea7\u7684\u6a21\u5f0f\u548c\u7ec4\u7ec7\u65b9\u5f0f\u501f\u9274\u4e86\u5f88\u591aVALSE\u7684\u7ecf\u9a8c\uff0c\u4eceVALSE\u5f97\u5230\u4e86\u5f88\u591a\u7684\u542f\u53d1\uff0c\u5728\u6b64\u5bf9VALSE\u7ec4\u59d4\u4f1a\u8868\u793a\u8877\u5fc3\u7684\u611f\u8c22\uff0c\u4e5f\u795d\u613fMICS\u548cVALSE\u8d8a\u529e\u8d8a\u597d\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5609\u5bbe \u5218\u65e5\u5347\uff08\u5927\u8fde\u7406\u5de5\uff09 \u65f6\u95f4 2020&hellip;<\/p>\n","protected":false},"author":1,"featured_media":480,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-479","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-6"],"_links":{"self":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/posts\/479","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/comments?post=479"}],"version-history":[{"count":0,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/posts\/479\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/media\/480"}],"wp:attachment":[{"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/media?parent=479"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/categories?post=479"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mics-ai.com\/index.php\/wp-json\/wp\/v2\/tags?post=479"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}