{"id":5980,"date":"2018-09-05T00:13:03","date_gmt":"2018-09-04T16:13:03","guid":{"rendered":"https:\/\/www.icnalb.cn\/?p=5980"},"modified":"2018-11-02T14:43:14","modified_gmt":"2018-11-02T06:43:14","slug":"17%e7%ba%a7%e8%a6%83%e5%ad%9f%e5%8f%82%e5%8a%a0sigcomm-2018%e5%9b%bd%e9%99%85%e4%bc%9a%e8%ae%ae","status":"publish","type":"post","link":"https:\/\/www.icnlab.cn\/?p=5980","title":{"rendered":"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae"},"content":{"rendered":"<p>2018\u5e748\u670820\u65e5\u81f325\u65e5\uff0c\u5b9e\u9a8c\u5ba417\u7ea7\u8983\u5b5f\u540c\u5b66\u53c2\u52a0\u4e86\u5728\u5308\u7259\u5229\u5e03\u8fbe\u4f69\u65af\u4e3e\u884c\u7684ACM SIGCOMM 2018\u56fd\u9645\u5b66\u672f\u4f1a\u8bae(ACM Special Interest Group on Data Communication)\uff0c\u5e76\u5728\u8be5\u4f1a\u8bae\u9644\u5c5e\u7684Network Meets AI &amp; ML (NetAI) Workshop\u4e0a\u5c06\u5b9e\u9a8c\u5ba4\u6700\u65b0\u7814\u7a76\u6210\u679c\u4e0e\u6765\u81ea\u5168\u7403\u4e0d\u540c\u7814\u7a76\u9886\u57df\u7684\u5b66\u8005\u5171\u540c\u8ba8\u8bba\u3002<\/p>\n<table align=\"center\">\n<tbody>\n<tr>\n<td><img class=\"aligncenter size-medium wp-image-5982\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_184003-300x225.jpg\"  width=\"300\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_184003-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_184003-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_184003-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe\" \/><\/td>\n<td><img class=\"aligncenter size-medium wp-image-5991\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_182806-300x225.jpg\"  width=\"300\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_182806-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_182806-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_182806-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe1\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe1\" \/><\/td>\n<\/tr>\n<tr>\n<td><img class=\"aligncenter size-medium wp-image-5983\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_182812-300x225.jpg\"  width=\"300\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_182812-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_182812-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_182812-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe2\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe2\" \/><\/td>\n<td><img class=\"aligncenter size-medium wp-image-5981\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_081958-300x225.jpg\"  width=\"300\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_081958-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_081958-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_081958-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe3\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe3\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong>ACM SIGCOMM 2018\u4f1a\u573a<\/strong><\/p>\n<p>\u00a0\u00a0\u00a0 ACM SIGCOMM\u662f\u8ba1\u7b97\u673a\u7f51\u7edc\u901a\u4fe1\u9886\u57df\u7684\u91cd\u8981\u5b66\u672f\u4f1a\u8bae\uff0c\u88ab\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a(CCF)\u5217\u4e3aA\u7c7b\u5b66\u672f\u4f1a\u8bae\uff0c\u4e3b\u8981\u5173\u6ce8\u8ba1\u7b97\u673a\u7f51\u7edc\u901a\u4fe1\u5e94\u7528\u3001\u6280\u672f\u3001\u4f53\u7cfb\u7ed3\u6784\u548c\u534f\u8bae\u7b49\u7684\u6700\u65b0\u7814\u7a76\u6210\u679c\uff1b\u540c\u65f6\uff0c\u4eca\u5e74\u4e5f\u662fNetAI Workshop\u5728SIGCOMM\u4f1a\u8bae\u4e3e\u529e\u7684\u7b2c\u4e00\u5c4a\uff0c\u8be5workshop\u4e3b\u8981\u5173\u6ce8\u5982\u4f55\u5229\u7528\u4eba\u5de5\u667a\u80fd\u6280\u672f\u6709\u6548\u5e94\u5bf9\u73b0\u6709\u7f51\u7edc\u7cfb\u7edf\u7684\u9762\u4e34\u7684\u6311\u6218\u3002<\/p>\n<p>\u672c\u6b21ACM SIGCOMM\u4f1a\u8bae\u4e3b\u8981\u5173\u6ce8\u6295\u7a3f\u8bba\u6587\u662f\u5426\u5728\u8ba1\u7b97\u673a\u7f51\u7edc\u901a\u4fe1\u9886\u57df\u662f\u5426\u5177\u6709\uff1a<\/p>\n<ul>\n<li>\u91cd\u8981\u4e14\u6df1\u523b\u7684\u8d21\u732e (Important deep contributions)\uff1b<\/li>\n<li>\u5927\u80c6\u4e14\u65b0\u9896\u7684\u60f3\u6cd5 (Daring novel ideas)\uff1b<\/li>\n<li>\u8f83\u5bbd\u5e7f\u7684\u5e94\u7528\u8303\u56f4\u548c\u5305\u5bb9\u6027(Breadth of scope and inclusivity)\u3002<\/li>\n<\/ul>\n<p>\u6700\u7ec8\u5728222\u7bc7\u6295\u7a3f\u8bba\u6587\u4e2d\u9009\u62e9\u63a5\u653640\u7bc7\uff1b\u5176\u4e2d\uff0c\u4e24\u7bc7Best Paper\u5206\u522b\u4e3a&#8221;<strong>Sincraonia: Near-Optimal Network Design for Colflows<\/strong>&#8220;\uff0c\u4ee5\u53ca&#8221;<strong>Inferrin Persistent Interdomain Congestion<\/strong>&#8220;\u3002\u53e6\u5916\uff0c\u4e24\u7bc7Test of Time Award\u8bba\u6587\u5206\u522b\u4e3aSIGCOMM 2008\u7684&#8221;<strong>A Scalable, Commodity Data Center Network Architecture<\/strong>&#8220;\u548cSIGCOMM 2016\u7684&#8221;<strong>XORs in the air: practical wireless network coding<\/strong>&#8220;\u3002<\/p>\n<p>\u5728\u4f1a\u8bae\u4f0a\u59cb\uff0c\u4e3b\u529e\u65b9\u7b80\u8981\u5730\u603b\u7ed3\u4e86\u8fd1\u671f\u8ba1\u7b97\u673a\u7f51\u7edc\u901a\u4fe1\u9886\u57df\u7684\u51e0\u5927\u7814\u7a76\u70ed\u70b9\uff0c\u4e3b\u8981\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u65e0\u7ebf\u7f51\u7edc\uff1b<\/li>\n<li>\u6570\u636e\u4e2d\u5fc3\u7f51\u7edc\uff1b<\/li>\n<li>\u673a\u5668\u5b66\u4e60\u6280\u672f\u5728\u8ba1\u7b97\u673a\u7f51\u7edc\u9886\u57df\u7684\u5e94\u7528\u3002<\/li>\n<\/ul>\n<p>\u5c24\u5176\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u6280\u672f\u7684\u5e94\u7528\uff0c\u4f1a\u8bae\u7684\u4e3b\u6d41\u89c2\u70b9\u8ba4\u4e3a\uff0c\u968f\u7740\u4eba\u5de5\u667a\u80fd\u5728\u8fd1\u51e0\u5e74\u7684\u84ec\u52c3\u53d1\u5c55\uff0c\u5176\u53d7\u5173\u6ce8\u7a0b\u5ea6\u8fdc\u8fdc\u8d85\u8fc7\u4e86\u8ba1\u7b97\u673a\u7f51\u7edc\uff0c\u4f46\u8ba1\u7b97\u673a\u7f51\u7edc\u5e94\u8be5\u59cb\u7ec8\u4fdd\u6301\u5176\u4f5c\u4e3a\u4e00\u4e2a\u6838\u5fc3\u7814\u7a76\u9886\u57df\u7684\u5730\u4f4d\uff0c\u4e14\u5e94\u8be5\u6210\u4e3a\u4e00\u4e2a\u4e0d\u65ad\u53d1\u5c55\u7684\u7814\u7a76\u70ed\u70b9\u3002\u8fdb\u4e00\u6b65\u5730\uff0cNetAI Workshop\u7684\u4e3b\u65e8\u4e5f\u5f3a\u8c03\uff0c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u80fd\u591f\u7528\u4e8e\u5e94\u5bf9\u76ee\u524d\u8ba1\u7b97\u673a\u7f51\u7edc\u4e2d\u9762\u4e34\u7684\u6311\u6218\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u8ba1\u7b97\u673a\u7f51\u7edc\u7684\u524d\u6cbf\u6280\u672f\u4e5f\u80fd\u591f\u6709\u6548\u5730\u5e2e\u52a9\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u89e3\u51b3\u6027\u80fd\u74f6\u9888\u95ee\u9898\u3002\u4e8c\u8005\u5e94\u8be5\u76f8\u8f85\u76f8\u6210\uff0c\u5171\u540c\u53d1\u5c55\u3002<\/p>\n<table align=\"center\">\n<tbody>\n<tr>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5985\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_090955-300x225.jpg\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_090955-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_090955-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_090955-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe4\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe4\" \/><\/td>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5986\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091146-300x225.jpg\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091146-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091146-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091146-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe5\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe5\" \/><\/td>\n<\/tr>\n<tr>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5987\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091232-300x225.jpg\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091232-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091232-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091232-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe6\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe6\" \/><\/td>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5988\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091339-300x225.jpg\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091339-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091339-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180821_091339-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe7\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe7\" \/><\/td>\n<\/tr>\n<tr>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5989\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180824_084733-300x225.jpg\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180824_084733-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180824_084733-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180824_084733-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe8\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe8\" \/><\/td>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5990\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180824_084750-300x225.jpg\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180824_084750-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180824_084750-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180824_084750-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe9\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe9\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong>\u4f1a\u8bae\u5185\u5bb9\u9526\u96c6<\/strong><\/p>\n<p>\u00a0\u00a0\u00a0 \u5b9e\u9a8c\u5ba417\u7ea7\u8983\u5b5f\u540c\u5b66\u548c16\u7ea7\u5f20\u7ffc\u540c\u5b66\u5728\u96f7\u8001\u5e08\u7684\u6307\u5bfc\u4e0b\uff0c\u5206\u522b\u5728NetAI Workshop\u4e0a\u53d1\u8868\u957f\u6587&#8221;<strong>Adaptive Multiple Non-negative Matrix Factorization for <\/strong><strong>Temporal Link Prediction in Dynamic Networks<\/strong>&#8220;\u548c&#8221;<strong>IFS-RL: An Intelligent Forwarding Strategy Based on <\/strong><strong>Reinforcement Learning in Named-Data Networking<\/strong>&#8220;\uff0c\u5e76\u5206\u522b\u7531\u8983\u5b5f\u540c\u5b66\u548c\u534e\u4e3a2012\u5b9e\u9a8c\u5ba4\u7684\u767d\u94c2\u8001\u5e08\u505a\u8bba\u6587\u7684\u53e3\u5934\u6c47\u62a5\u3002<\/p>\n<table align=\"center\">\n<tbody>\n<tr>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5994\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904215022-300x168.jpg\"  width=\"300\" height=\"168\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904215022-300x168.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904215022-768x430.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904215022.jpg 927w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe10\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe10\" \/><\/td>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5992\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904210837-300x151.jpg\"  width=\"300\" height=\"151\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904210837-300x151.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904210837-768x386.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904210837.jpg 851w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe11\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe11\" \/><\/td>\n<\/tr>\n<tr>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5995\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904215028-300x225.png\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904215028-300x225.png 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904215028.png 694w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe12\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe12\" \/><\/td>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5993\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904210908-300x154.jpg\"  width=\"300\" height=\"154\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904210908-300x154.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904210908-768x393.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/QQ\u56fe\u724720180904210908.jpg 853w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe13\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe13\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong>NetAI Workshop\u62a5\u544a\u73b0\u573a<\/strong><\/p>\n<p>\u00a0\u00a0\u00a0 \u4e24\u7bc7\u8bba\u6587\u7684\u7b80\u4ecb\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li>\u6807\u9898\uff1aAdaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks<\/li>\n<li>\u4f5c\u8005: Kai Lei, Meng Qin, Bo Bai*, Gong Zhang.<\/li>\n<li>\u6587\u7ae0\u94fe\u63a5\uff1a<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3229546\">https:\/\/dl.acm.org\/citation.cfm?id=3229546<\/a><\/li>\n<li>\u7b80\u4ecb\uff1a\u5bf9\u4e8e\u7528\u6237\u79fb\u52a8\u6027\u3001\u7f51\u7edc\u52a8\u6001\u62d3\u6251\u548c\u7f51\u7edc\u6d41\u91cf\u7684\u9884\u6d4b\u662f\u6539\u5584\u5404\u79cd\u7f51\u7edc\u7cfb\u7edf\u6027\u80fd\u7684\u6709\u6548\u624b\u6bb5\uff0c\u800c\u76f8\u5173\u7684\u7f51\u7edc\u7cfb\u7edf\u52a8\u6001\u6027\u9884\u6d4b\u95ee\u9898\u80fd\u591f\u4ee5\u590d\u6742\u7f51\u7edc\u5206\u6790\u7684\u89c2\u70b9\u4e00\u822c\u6027\u5730\u62bd\u8c61\u4e3a\u65f6\u5e8f\u94fe\u8def\u9884\u6d4b(temporal link prediction)\u95ee\u9898\u3002\u4ece\u7f51\u7edc\u8868\u5f81(network embedding)\u7684\u89c2\u70b9\u51fa\u53d1\uff0c\u63d0\u51fa\u4e00\u79cd\u81ea\u9002\u5e94\u591a\u91cd\u975e\u8d1f\u77e9\u9635\u5206\u89e3(adaptive nonnegative matrix factorization, AM-NMF)\u6a21\u578b\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\u3002\u5728\u975e\u8d1f\u77e9\u9635\u5206\u89e3(nonnegative matrix factorization, NMF)\u6846\u67b6\u4e0b\uff0c\u8be5\u6a21\u578b\u5c06\u52a8\u6001\u7f51\u7edc\u5d4c\u5165\u5230\u4e00\u4e2a\u4fdd\u7559\u4e86\u4e0d\u540c\u7f51\u7edc\u5feb\u7167\u52a8\u6001\u53d8\u5316\u7279\u5f81\u7684\u4f4e\u7ef4\u9690\u542b\u7a7a\u95f4\u3002\u7279\u522b\u5730\uff0c\u7531\u4e8e\u5f15\u5165\u81ea\u9002\u5e94\u53c2\u6570\u81ea\u52a8\u5730\u8c03\u8282\u6df7\u5408\u6a21\u578b\u4e2d\u4e0d\u540c\u5206\u91cf\u7684\u76f8\u5bf9\u91cd\u8981\u6027\uff0c\u8be5\u6a21\u578b\u8fd8\u80fd\u6709\u6548\u5730\u7ed3\u5408\u4e0d\u540c\u65f6\u95f4\u7247\u4e0b\u7684\u9690\u542b\u4fe1\u606f\uff0c\u5e76\u8003\u8651\u5355\u4e2a\u65f6\u95f4\u7247\u4e0e\u52a8\u6001\u7f51\u7edc\u6574\u4f53\u7684\u5185\u5728\u5173\u8054\u6027\u3002\u8fdb\u4e00\u6b65\u5730\uff0c\u5173\u4e8e\u4e0b\u4e00\u4e2a\u65f6\u95f4\u7247\u7f51\u7edc\u5feb\u7167\u7684\u9884\u6d4b\u7ed3\u679c\u80fd\u591f\u901a\u8fc7\u6267\u884cNMF\u7684\u9006\u8fc7\u7a0b\u751f\u6210\u3002\u4f5c\u4e3a\u4e00\u4e2a\u5e94\u7528\u793a\u4f8b\uff0c\u8be5\u6a21\u578b\u4e5f\u88ab\u5e94\u7528\u4e8e\u5404\u79cd\u7f51\u7edc\u7cfb\u7edf\u76f8\u5173\u7684\u6570\u636e\u96c6\uff0c\u5305\u62ec\u4eba\u79fb\u52a8\u7f51\u7edc\u3001\u8f66\u8f86\u79fb\u52a8\u7f51\u7edc\u3001\u65e0\u7ebf\u7f51\u683c\u7f51\u7edc\u548c\u6570\u636e\u4e2d\u5fc3\u7f51\u7edc\u3002\u76f8\u5173\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u8be5\u65b9\u6cd5\u5728\u65e0\u6743\u7f51\u7edc\u548c\u5e26\u6743\u7f51\u7edc\u7684\u65f6\u5e8f\u94fe\u8def\u9884\u6d4b\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\u8d85\u8fc7\u73b0\u6709\u7684\u65b9\u6cd5\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li>\u6807\u9898: IFS-RL: An Intelligent Forwarding Strategy Based on Reinforcement Learning in Named-Data Networking<\/li>\n<li>\u4f5c\u8005\uff1aYi Zhang, Bo Bai, Kuai Xu, Kai Lei*<\/li>\n<li>\u6587\u7ae0\u94fe\u63a5\uff1a<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3229547\">https:\/\/dl.acm.org\/citation.cfm?id=3229547<\/a><\/li>\n<li>\u7b80\u4ecb\uff1a\u547d\u540d\u6570\u636e\u7f51\u7edc(Named-Data Network, DND)\u662f\u4e00\u79cd\u65b0\u578b\u7684\u901a\u4fe1\u8303\u5f0f\uff0c\u5b83\u7684\u57fa\u672c\u7f51\u7edc\u539f\u8bed\u662f\u57fa\u4e8e\u547d\u540d\u6570\u636e\u800c\u4e0d\u662f\u4e3b\u673a\u6807\u8bc6\u3002\u4e0e\u4f20\u7edf\u7684IP\u7f51\u7edc\u67b6\u6784\u76f8\u6bd4\uff0cNDN\u7684\u6570\u636e\u4f20\u8f93\u5e73\u9762\u5141\u8bb8\u6bcf\u4e2a\u8def\u7531\u5668\u72ec\u7acb\u81ea\u4e3b\u5730\u9009\u62e9\u4e0b\u4e00\u4e2a\u8f6c\u53d1\u7684\u63a5\u53e3\uff0c\u800c\u4e0d\u4f9d\u8d56\u4e8e\u5177\u4f53\u7684\u8def\u7531\u8fc7\u7a0b\u3002\u56e0\u6b64\uff0c\u8f6c\u53d1\u7b56\u7565\u5728NDN\u7684\u81ea\u9002\u5e94\u9ad8\u6548\u6570\u636e\u4f20\u8f93\u8fc7\u7a0b\u4e2d\u5177\u6709\u91cd\u8981\u7684\u5f71\u54cd\u3002\u73b0\u6709\u7684\u5927\u591a\u6570\u8f6c\u53d1\u7b56\u7565\u4f7f\u7528\u56fa\u5b9a\u7684\u63a7\u5236\u89c4\u5219\u6216\u57fa\u4e8e\u9002\u7528\u4e8e\u67d0\u4e9b\u7279\u5b9a\u90e8\u7f72\u73af\u5883\u7684\u7b80\u5355\u6a21\u578b\uff0c\u4f46\u5e76\u4e0d\u80fd\u5e94\u7528\u4e8e\u591a\u79cd\u7f51\u7edc\u573a\u666f\uff0c\u4e5f\u4e0d\u80fd\u5e94\u5bf9\u591a\u6837\u7684\u5e94\u7528\u9700\u6c42\u3002\u57fa\u4e8e\u589e\u5f3a\u5b66\u4e60(reinforcement learning)\uff0c\u63d0\u51fa\u4e00\u79cd\u667a\u80fd\u8f6c\u53d1\u7b56\u7565IFS-RL\u3002\u901a\u8fc7\u8bad\u7ec3\u4e00\u7cfb\u5217\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u8be5\u6a21\u578b\u80fd\u591f\u6839\u636e\u8def\u7531\u8282\u70b9\u6536\u96c6\u7684Interest\u5305\u5386\u53f2\u8f6c\u53d1\u4fe1\u606f\u81ea\u9002\u5e94\u5730\u786e\u5b9a\u5408\u9002\u7684\u8f6c\u53d1\u63a5\u53e3\uff0c\u800c\u5e76\u4e0d\u4f9d\u8d56\u4e8e\u67d0\u4e2a\u9884\u5b9a\u7a0b\u5e8f\u7684\u6a21\u578b(pre-programmed model)\u3002\u56e0\u6b64\uff0c\u8be5\u6a21\u578b\u80fd\u591f\u9002\u7528\u4e8e\u591a\u79cd\u4e0d\u540c\u7684\u7f51\u7edc\u72b6\u6001\u3002\u5728\u57fa\u672c\u6a21\u578b\u7684\u57fa\u7840\u4e0a\uff0c\u4e5f\u8003\u5bdf\u4e86\u6a21\u578b\u7684\u5b66\u4e60\u529b\u5ea6\uff0c\u5e76\u63d0\u51fa\u4e00\u79cd\u6539\u8fdb\u65b9\u6848\u4f7f\u5f97\u57fa\u672c\u6a21\u578b\u80fd\u591f\u6709\u6548\u5730\u5e94\u5bf9\u7f51\u7edc\u62d3\u6251\u7684\u53d8\u5316\u3002\u5728NDNSim\u4e0a\u7684\u76f8\u5173\u6027\u80fd\u8bc4\u4ef7\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cIFS-RL\u6a21\u578b\u5728\u541e\u5410\u91cf\u548c\u4e22\u5305\u7387\u65b9\u9762\u76f8\u6bd4\u4e8e\u73b0\u6709\u65b9\u6cd5\u5177\u6709\u66f4\u597d\u7684\u6027\u80fd\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u53c2\u52a0\u672c\u6b21\u4f1a\u8bae\uff0c\u4e0d\u4ec5\u4e86\u89e3\u5230\u4e86\u8ba1\u7b97\u673a\u7f51\u7edc\u901a\u4fe1\u9886\u57df\u6700\u65b0\u7814\u7a76\u8fdb\u5c55\uff0c\u4e5f\u5145\u5206\u8ba4\u8bc6\u5230\u81ea\u8eab\u7684\u5b66\u672f\u7814\u7a76\u80fd\u529b\u4ecd\u4e0e\u9876\u7ea7\u5b66\u672f\u4f1a\u8bae\u6709\u5de8\u5927\u7684\u5dee\u8ddd\uff0c\u4ee5\u53ca\u81ea\u8eab\u7814\u7a76\u5de5\u4f5c\u4e2d\u5b58\u5728\u7684\u4e0d\u8db3\uff0c\u53ef\u8c13\u6536\u83b7\u9887\u4e30\u3002\u5728\u63a5\u4e0b\u6765\u7684\u79d1\u7814\u5de5\u4f5c\u4e2d\uff0c\u4e0d\u4ec5\u9700\u8981\u811a\u8e0f\u5b9e\u5730\u505a\u51fa\u5177\u6709\u5b9e\u8d28\u6027\u5b66\u672f\u8d21\u732e\u7684\u5de5\u4f5c\uff0c\u4e5f\u9700\u8981\u6709\u6311\u6218\u56fd\u9645\u9876\u7ea7\u5b66\u672f\u4f1a\u8bae\u548c\u671f\u520a\u7684\u52c7\u6c14\u3001\u9b44\u529b\u548c\u4fe1\u5fc3\u3002\u6700\u540e\uff0c\u611f\u8c22\u4e92\u8054\u7f51\u7814\u53d1\u4e2d\u5fc3\u96f7\u51ef\u8001\u5e08\u7684\u8d44\u52a9\uff0c\u4ee5\u53ca\u5728\u8bba\u6587\u5199\u4f5c\u3001\u6295\u7a3f\u7b49\u65b9\u9762\u7ed9\u4e88\u7684\u652f\u6301\u3002<\/p>\n<table align=\"center\">\n<tbody>\n<tr>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5996\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_201447-300x225.jpg\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_201447-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_201447-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_201447-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe14\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe14\" \/><\/td>\n<td><img loading=\"lazy\" class=\"aligncenter size-medium wp-image-5997\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_204333-300x225.jpg\"  width=\"300\" height=\"225\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_204333-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_204333-768x576.jpg 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_204333-1024x768.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe15\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe15\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\"><strong>ACM SIGCOMM 2019\u4fe1\u606f<\/strong><\/p>\n<p><img loading=\"lazy\" class=\"aligncenter size-large wp-image-5998\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_200749-1024x768.jpg\"  width=\"800\" height=\"600\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_200749-1024x768.jpg 1024w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_200749-300x225.jpg 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2018\/09\/IMG_20180822_200749-768x576.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe16\" alt=\"17\u7ea7\u8983\u5b5f\u53c2\u52a0SIGCOMM 2018\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe16\" \/><\/p>\n<p style=\"text-align: center;\"><strong>@\u5308\u7259\u5229 \u5e03\u8fbe\u4f69\u65af \u591a\u7459\u6cb3\u7554<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>2018\u5e748\u670820\u65e5\u81f325\u65e5\uff0c\u5b9e\u9a8c\u5ba417\u7ea7\u8983\u5b5f\u540c\u5b66\u53c2\u52a0\u4e86\u5728\u5308\u7259\u5229\u5e03\u8fbe\u4f69\u65af\u4e3e\u884c\u7684ACM SIGCOMM 2018 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[31,4],"tags":[],"_links":{"self":[{"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/posts\/5980"}],"collection":[{"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5980"}],"version-history":[{"count":3,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/posts\/5980\/revisions"}],"predecessor-version":[{"id":6041,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/posts\/5980\/revisions\/6041"}],"wp:attachment":[{"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}