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====== Conference Papers (Refereed) ======
^ As of 2008/9 ^ **Rank 1**\\ (Top Tier) ^ **Rank 2**\\ (Second Tier) ^ **Rank 3**\\ (Third Tier) ^
| [[http://www.cs.ualberta.ca/~zaiane/htmldocs/ConfRanking.html|CS Conference Rankings I]] | CVPR, ICDM, ICML, IJCAI, KDD, NIPS, SIGIR, WWW | CIKM, ICDAR, ICME, ICPR, ICWS, IJCNN, PAKDD | ICONIP |
| [[http://dsl.serc.iisc.ernet.in/publications/CS_ConfRank.htm|CS Conference Ranking II]] | CVPR, ICML, IJCAI, KDD, NIPS, SIGIR, WWW | CIKM, ICDAR, ICPR, IJCNN | ICDM, ICME, ICONIP, PAKDD |
| [[http://www3.ntu.edu.sg/home/ASSourav/crank.htm|CS Conference Ranking III]] | CIKM, CVPR, ICML, IJCAI, KDD, NIPS, SIGIR, WWW | ICDAR, ICME, ICDM, IJCNN, WIC | ICONIP, PAKDD |
| [[http://cs.conference-ranking.net/Artificial_Intelligence_Conference_Ranking.html|CS Conference Ranking IV (AI, CS, DM, IC)]] | IJCAI, ICML, ICDM, KDD, NIPS, WWW | | |
| [[http://www.cs-conference-ranking.org/conferencerankings/alltopics.html|CS Conference Ranking V (All topics)]] | KDD (0.99), ICDE (0.98), NIPS (0.98), SIGIR (0.96), CVPR (0.96), IJCAI (0.96), ICML (0.95),\\ WWW (0.92), CIKM (0.90),\\ ICDM (0.87), WIC (0.82), IJCNN (0.76), ICDAR (0.75), PAKDD (0.64), ICONIP (0.56) | | |
* **2009**: CIKM (4), ICML (1), ICWS (1), IJCAI (1), IJCNN (2), KDD (1), NIPS (2), PAKDD (1), SIGIR (2), WSDM (1), Others (4)
* **2008**: CIKM (4), ICDM (3), ICONIP (1), IJCNN (1), NIPS (2), WIC (3)
* **2007**: ACE (1), ICADR (1), ICONIP (1), IJCNN (3), NIPS (1), SIGIR (2), WIC (1), WWW Poster (3)
* **2006**: ICONIP (1), IDEAL (1), IJCNN (2), WIC (1), WWW Poster (3)
* ML = Machine Learning, Neural Networks, Computational Intelligence, etc.
* SC = Social Computing, Recommender Systems, etc.
* IR = Information Retrieval, Text Processing, etc.
* WI = Web Intelligence, Web Mining, Link Analysis, etc.
* MM = Multimedia, Computer Vision, Image Processing, etc.
/*
[ ML | SC | IR | WI | MM ]
*/
\\ ---- 2009 ----
-
**(AR: XXX/XXX (XXX%))** [ ML | IR ]
**(Poster AR: 263/1105 (23.8%), Spotlight Poster AR: 87/1105 (7.87%))** [ ML ]
**(Poster AR: 263/1105 (23.8%), Spotlight Poster AR: 87/1105 (7.87%))** [ ML ]
**(Long Paper AR: 123/847 (14.5%))** [ ML | SC | WI ]
**(Long Paper AR: 123/847 (14.5%))** [ ML | SC | WI ]
**(Short Paper AR: (123 + 171)/847 (34.7% (20.2%)))** [ SC | WI ]
**(Short Paper AR: (123 + 171)/847 (34.7% (20.2%)))** [ SC | WI ]
**(Workshop Paper AR: 9/21 (44%))** [ SC | WI ]
**(Long Paper AR: 24/140 (17%))** [ SC | WI ]
**(AR: 20%)** [ SC | WI ]
[ [[http://www.cse.cuhk.edu.hk/~king/PUB/SIAG2009.pdf|pdf]] ] **(AR: 20%)** [ SC | WI ]
[ [[http://www.cse.cuhk.edu.hk/~king/PUB/SCA2009.pdf|pdf]] ] **(AR: 20%)** [ SC | WI ]
**(AR: 160/640 (25%))** [ ML ]
**(AR: 78/494 (15.8%))** [ SC | WI ]
**(AR: 78/494 (15.8%))** [ SC | IR | WI ]
**(AR: (54+53)/538 (20%))** [ SC | IR | WI ]
**(AR: 63/404 (15.6%))** [ SC | IR | WI ]
**(AR: 331/1290 (25.7%))** [ ML ]
**(AR: XXXX)** [ ML ]
**(AR: XXXX)** [ ML | SC | WI ]
**(Short Paper AR: (39+72)/338 (32.8%))** [ SC | IR ]
**(AR: 29/170 (17%))** [ ML | SC | WI ]
**(AR: 280/381 (47%))** [ ML | IR ]
**(AR: (70+74)/724 (20%))** [ [[http://www.cse.cuhk.edu.hk/~king/PUB/ICDM2008-Huang_feature_selection.pdf|presentation]] ] [ ML ]
**(AR: 70/724 (9%))** [ [[http://www.cse.cuhk.edu.hk/~king/PUB/ICDM2008-Huang_ICDM08_USSL.pdf|presentation]] ] [ ML ]
**(AR: 70/724 (9%))** [ [[http://www.cse.cuhk.edu.hk/~king/PUB/ICDM2008-Deng-ExpertFinding_icdm_talk.ppt|presentation]] ] [ SC | IR | WI ]
**(Poster AR: (123 + 127)/1022 (24%))** [ ML ]
**(Spotlight Poster AR: 123/1022 (12%))** [ ML ]
**(AR: (82 + 86)/430 (20%))** [ SC | WI ]
**(AR: (82 + 86)/430 (20%))** [ SC | WI ]
**(AR: (82 + 86)/430 (20%))** [ SC | IR | WI ]
**(AR: 132/772 (17%))** [ SC | IR | WI ]
**(AR: 132/772 (17%))** [ ML | SC | IR | WI ]
**(AR: 132/772 (17%))** [ ML | SC | IR | WI ]
**(AR: (132+124)/772 (16%))** [ ML | IR | WI ]
**(AR: XXXX)** [ ML | SC ]
**(AR: 217/975 (22%))** [ ML ]
[ ML ]
[ SC | IR | WI ]
[ IR ]
**(AR: 86/491 (17.5%))** [ SC | IR | WI ]
**(AR: 86/491 (17.5%))** [ ML | SC | IR | WI ]
[ ML | IR ]
[ ML | IR | MM ]
[ ML ]
[ ML | IR ]
[ SC | IR | WI ]
[ ML | IR | WI ]
**(AR: 25/75 (33.3%))** [ MM ]
[ SC | IR | WI ]
[ ML | IR | WI ]
[ ML ]
[ ML | IR | MM ]
[ ML | IR | MM ]
[ SC | IR | WI ]
[ ML | IR | WI ]
[ SC | IR | WI ]
[ ML | IR ]
[ ML]
[ ML | SC | IR | WI ]
[ ML | IR | WI ]
[ MM ]
[ MM ]
[ MM ]