{"id":15905421,"url":"https://github.com/huangcongqing/paper-journal","last_synced_at":"2026-02-12T10:31:31.811Z","repository":{"id":107569492,"uuid":"185607860","full_name":"HuangCongQing/paper-journal","owner":"HuangCongQing","description":null,"archived":false,"fork":false,"pushed_at":"2020-09-10T02:05:46.000Z","size":15,"stargazers_count":21,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-08-21T01:25:09.613Z","etag":null,"topics":["journal","paper"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/HuangCongQing.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-05-08T13:06:56.000Z","updated_at":"2025-04-13T13:09:27.000Z","dependencies_parsed_at":null,"dependency_job_id":"a6a91d4c-b6cc-428a-9694-ca3e690898d8","html_url":"https://github.com/HuangCongQing/paper-journal","commit_stats":{"total_commits":14,"total_committers":2,"mean_commits":7.0,"dds":0.1428571428571429,"last_synced_commit":"23f13e3438758511c9b9fc7dd8e1f6a54f1692a1"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/HuangCongQing/paper-journal","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpaper-journal","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpaper-journal/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpaper-journal/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpaper-journal/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HuangCongQing","download_url":"https://codeload.github.com/HuangCongQing/paper-journal/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HuangCongQing%2Fpaper-journal/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29363152,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-12T08:51:36.827Z","status":"ssl_error","status_checked_at":"2026-02-12T08:51:26.849Z","response_time":55,"last_error":"SSL_read: 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paper-journal\n\n@ [ChungKing](https://github.com/HuangCongQing/paper-journal)，若fork或star请注明来源\n\n为什么计算机AI方面更关注会议而不是期刊？\n\u003e与所有其它学术领域都不同，计算机科学使用会议而不是期刊作为发表研究成果的主要方式。目前国外计算机界评价学术水平主要看在顶级学术会议上发表的论文。特别是在机器学习、计算机视觉和人工智能领域，顶级会议才是王道。（但中国目前的国情不同于国外，我国主要看在学术期刊上发表的SCI论文。这种“一切以SCI期刊为评价标准”的做法已有不少批评。） \n\n\u003e（1）因为机器学习、计算机视觉和人工智能领域发展非常迅速，新的工作层出不穷，如果把论文投到期刊上，一两年后刊出时就有点out了。因此大部分最新的工作都首先发表在顶级会议上，这些顶级会议完全能反映“热门研究方向”、“最新方法”。（2）很多经典工作大家可能引的是某顶级期刊上的论文，这是因为期刊论文表述得比较完整、实验充分。但实际上很多都是在顶级会议上首发。比如PLSA, Latent Dirichlet Allocation等。\n（3）如果注意这些领域大牛的pulications，不难发现他们很非常看重这些顶级会议，很多人是80%的会议+20%的期刊。即然大牛们把最新工作发在顶级会议上，有什么理由不去读顶级会议？\n\n\n\n 计算机最新国际会议和期刊列表汇总: http://www.myhuiban.com/?lang=zh_cn\n \n ### AI会议deadlines\nhttps://aideadlin.es/?sub=ML,CV,NLP,RO,SP,DM\n\n### 论文下载\n* http://www.99e.com.cn/\n\n\n-----------\n\n全球三大顶级杂志CNS\n* [《cell》](https://www.cell.com/)\n* [《nature》](https://www.nature.com/)\n* [《science》](https://www.sciencemag.org/)\n\n[全球三大顶级杂志-《细胞》、《自然》、《科学》](http://blog.sina.com.cn/s/blog_a057802b0102vigu.html)\n\n## AI 相关会议期刊总结\n\n单单看ML文章质量的话，我觉得是这样的排名\n\n期刊：\n* 最好的是[JMLR](http://www.jmlr.org/)\n* MLJ和[PAMI](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=34)次之\n* TNN、neural computation、PR再次一些\n* PRL、neuralcomputing等等基本纯水。\n\n会议\n* 最好的是NIPS、ICML、COLT\n* UAI、AISTATS、KDD、CVPR次之\n* ECML、IJCAI、AAAI、ICDM更次一些\n\n原文：https://blog.csdn.net/barry_j/article/details/79733262 \n\n以下是不完整的列表，但基本覆盖。\n* 人工智能：\n\n    * [IJCAI](https://www.ijcai.org/),\n    * [AAAI](https://aaai.org/Conferences/conferences.php); \n    * （期刊AI）\n\n* 机器学习顶级会议：\n\n  * [NIPS](https://nips.cc/), \n  * [ICML](https://icml.cc/), \n  * [UAI](http://www.auai.org/), \n  * [AISTATS](https://www.aistats.org/);  \n （期刊：[JMLR](http://www.jmlr.org/), [ML](https://www.datalearner.com/journal/ML), [Trends in ML](), [IEEE T-NN]()）\n\n* 计算机视觉和图像识别(CV三大会议)：\n\nCVPR（每年），ICCV（奇数年）和ECCV（偶数年）\n\n  * [ICCV](http://openaccess.thecvf.com/menu.py), \n  * [CVPR](http://openaccess.thecvf.com/menu.py), \n  * [ECCV](https://www.thecvf.com/); \n    （期刊：[IEEE T-PAMI](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=34), [IJCV](http://www.ijcv.org/), [IEEE T-IP](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=83)）\n另外相关的还有[SIGGRAPH（计算机图形）](https://www.siggraph.org/), [SIGKDD（数据挖掘）](http://www.sigkdd.org/), [ACL（计算机语言）](http://www.acl2019.org/EN/index.xhtml), [SIGIR（信息检索）](https://sigir.org/)等。\n\nMore:[知乎-计算机视觉顶尖期刊和会议有哪些？](https://www.zhihu.com/question/37687006/answer/104582592)\n\n\n特别是，**如果做机器学习，必须地，把近4年的NIPS, ICML翻几遍；如果做计算机视觉，要把近4年的ICCV, CVPR, NIPS, ICML翻几遍。**\n原文：https://blog.csdn.net/xiaoshengforever/article/details/12282643\n\n\n\n### 牛人主页\n\n* [常用牛人主页链接（计算机视觉、模式识别、机器学习相关方向）](http://www.cnblogs.com/kshenf/archive/2012/02/07/2342034.html)\n\n\n* [台大-李宏毅老师](http://speech.ee.ntu.edu.tw/~tlkagk/courses.html)\n\n\n### ABC类会议\n\n[2019版CCF推荐国际学术会议和期刊目录发布！AI领域七大A类会议](https://cloud.tencent.com/developer/article/1424716)\n\n\n\n### 会议论文下载\n\n\n比如\n* CV方面：http://www.cvpapers.com/index.html\n* NIPS: http://books.nips.cc/\n* JMLR(期刊): http://jmlr.csail.mit.edu/papers/\n* COLT和ICML(每年度的官网): http://www.cs.mcgill.ca/~colt2009/proceedings.html\n\n\n\n\n\n\n\n### Reference\n\n*  [ 多读顶级会议论文（CS方向） - 知乎](https://zhuanlan.zhihu.com/p/37353099)\n * [计算机视觉三大国际会议ICCV、ECCV、CVPR - cily_CSTO的专栏 ...](https://blog.csdn.net/cily_CSTO/article/details/50132711)\n* [机器学习顶级会议及论文](https://blog.csdn.net/barry_j/article/details/79733262)\n* [计算机方面顶级会议](https://blog.csdn.net/xiaoshengforever/article/details/12282643)\n* [ 人工智能方面顶级会议（转） - 知乎](https://zhuanlan.zhihu.com/p/25153492)\n* [人工智能领域有哪些重要的学术会议和顶级实验室？ - 知乎](https://www.zhihu.com/question/31617024)\n*  [ 盘点AI国际顶级会议- 知乎](https://zhuanlan.zhihu.com/p/51749414)\n* [你值得收藏，2019国际AI权威会议时间汇总-ATYUN](https://www.atyun.com/34815.html)\n*  [*AI会议* - 蓝心释的博客](https://blog.csdn.net/nineship/article/details/86478254)\n*  [盘点*AI*界的国际*顶级会议*(上) - 云+社区 - 腾讯云](https://cloud.tencent.com/developer/news/363510)\n* [盘点*AI*国际*顶级会议*(下) - 云+社区 - 腾讯云](https://cloud.tencent.com/developer/news/366946)\n* [干货| 2019 *AI* 国际*顶级*学术*会议*一览表 | 雷锋网](https://www.leiphone.com/news/201811/moY0Du4LlokN31Gy.html)\n* [*人工智能会议*排行榜_2019年*人工智能相关*大会推荐_活动家](https://www.huodongjia.com/tag/1464/)\n*  [*AI*方面的国际*会议* - klitech - 博客园](https://www.cnblogs.com/klitech/p/6686374.html)\n\n* [图像处理、计算机视觉与模式识别“SCI期刊和顶级会议”总结](https://blog.csdn.net/chamie/article/details/78346292)\n\n* [盘点52个全球人工智能和机器学习重要会议](https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==\u0026mid=2650734172\u0026idx=1\u0026sn=048724545897fb8d70fd5f0efea54b09\u0026chksm=871b3a22b06cb334bb01ff5acbdcc8da76cfed55c0e3778d1ba8c177cb5c599c421582b59879\u0026scene=0\u0026pass_ticket=GvgnQBNA5rAsSIXeoQ8w5M3aDOFb90K868Pp5Ad89Nt0roUpqJYJjPe3MNeSO287#rd)\n\n\n\n* [机器学习领取顶级会议及论文及牛人主页](https://blog.csdn.net/Barry_J/article/details/79733262)\n\n\n\n### Others\n* https://www.sciencedirect.com/\n\n### License\n\nCopyright (c) [ChungKing](https://github.com/HuangCongQing/paper-journal). All rights reserved.\n\nLicensed under the [MIT](./LICENSE) License.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuangcongqing%2Fpaper-journal","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuangcongqing%2Fpaper-journal","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuangcongqing%2Fpaper-journal/lists"}